{"id":5066,"date":"2022-12-03T12:12:56","date_gmt":"2022-12-03T12:12:56","guid":{"rendered":"https:\/\/www.hnjournal.net\/?page_id=5066"},"modified":"2022-12-03T12:13:00","modified_gmt":"2022-12-03T12:13:00","slug":"3-12-18","status":"publish","type":"page","link":"https:\/\/www.hnjournal.net\/ar\/3-12-18\/","title":{"rendered":"<strong>Gender Classification (Male \/ Female) Through Voice<\/strong>"},"content":{"rendered":"<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Elsir Mohamed Osman Alkbashi<sup>1<\/sup> Mohammed Hussien Eltaieb Adam<sup>2<\/sup><\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Neelain University, Sudan.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Email: neneot449@gmail.com<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><a href=\"https:\/\/www.hnjournal.net\/wp-content\/uploads\/2022\/12\/18Gender-Classification-Male-Female-Through-Voice.pdf\">Download<br \/>\n<\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">HNSJ, 2022, 3(12); https:\/\/doi.org\/10.53796\/hnsj31218<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Published at 01\/12\/2022 Accepted at 10\/11\/2022 <\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Abstract <\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Proceeding from the importance of sound in practical life and that it is involved in many fields, we set out with the idea of \u200b\u200bthis project, which makes the computer a tool used to classify human voices and identify the identity of the speaker, whether he is male or female, and since the voice is the summary and the string of sentences, it was necessary to research In the nature of sound and its physical properties, we focused our attention on one of the properties of sound, which is frequency, as the system measures the frequency of the sound signal. The research relied on randomly collected sounds, and then processing this data using the automatic correlation technique to classify gender, male or female, in the right ways, using one of the sound characteristics, which is frequency. The results that have been reached are the success of the classification process for both sexes according to sound quality. Noise, noise and microphone quality directly affect the results of the system in classification, which leads to inaccurate results. Also, the more noise-free the recorded audio signal, the more accurate the results. The efficiency of the autocorrelation technique in calculating the value of the signal frequency.<\/p>\n<p style=\"text-align: justify;\">\u0639\u0646\u0648\u0627\u0646 \u0627\u0644\u0628\u062d\u062b<\/p>\n<p style=\"text-align: justify;\">\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0646\u0648\u0639 (\u0630\u0643\u0631 \u2013 \u0627\u0646\u062b\u064a) \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0635\u0648\u062a<\/p>\n<p style=\"text-align: justify;\"><strong>\u0627\u0644\u0633\u0631 \u0645\u062d\u0645\u062f \u0639\u062b\u0645\u0627\u0646 \u0627\u0644\u0643\u0628\u0627\u0634\u064a<sup>1<\/sup> \u0645\u062d\u0645\u062f \u062d\u0633\u064a\u0646 \u0627\u0644\u0637\u064a\u0628 \u0622\u062f\u0645<sup>2<\/sup><\/strong><\/p>\n<p style=\"text-align: justify;\"><sup>1<\/sup> \u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0646\u064a\u0644\u064a\u0646\u060c \u0627\u0644\u0633\u0648\u062f\u0627\u0646<\/p>\n<p style=\"text-align: justify;\">\u0628\u0631\u064a\u062f \u0627\u0644\u0643\u062a\u0631\u0648\u0646\u064a: neneot449@gmail.com<\/p>\n<p style=\"text-align: justify;\">HNSJ, 2022, 3(12); https:\/\/doi.org\/10.53796\/hnsj31218<\/p>\n<p style=\"text-align: justify;\">\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0646\u0634\u0631: 01\/12\/2022\u0645 \u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0642\u0628\u0648\u0644: 10\/11\/2022\u0645<\/p>\n<p style=\"text-align: justify;\"><strong>\u0627\u0644\u0645\u0633\u062a\u062e\u0644\u0635 <\/strong><\/p>\n<p style=\"text-align: justify;\">\u0627\u0646\u0637\u0644\u0627\u0642\u0627 \u0645\u0646 \u0623\u0647\u0645\u064a\u0629 \u0627\u0644\u0635\u0648\u062a \u0641\u064a \u0627\u0644\u062d\u064a\u0627\u0629 \u0627\u0644\u0639\u0645\u0644\u064a\u0629 \u0648\u0627\u0646\u062e\u0631\u0627\u0637\u0647 \u0641\u064a \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u062c\u0627\u0644\u0627\u062a \u060c \u0627\u0646\u0637\u0644\u0642\u0646\u0627 \u0628\u0641\u0643\u0631\u0629 \u0647\u0630\u0627 \u0627\u0644\u0645\u0634\u0631\u0648\u0639 \u0627\u0644\u0630\u064a \u064a\u062c\u0639\u0644 \u0627\u0644\u0643\u0645\u0628\u064a\u0648\u062a\u0631 \u0623\u062f\u0627\u0629 \u062a\u0633\u062a\u062e\u062f\u0645 \u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0623\u0635\u0648\u0627\u062a \u0627\u0644\u0628\u0634\u0631\u064a\u0629 \u0648\u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0647\u0648\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u062b \u0633\u0648\u0627\u0621 \u0643\u0627\u0646 \u0647\u0648 \u0630\u0643\u0631 \u0623\u0648 \u0623\u0646\u062b\u0649 \u060c \u0648\u0628\u0645\u0627 \u0623\u0646 \u0627\u0644\u0635\u0648\u062a \u0647\u0648 \u0627\u0644\u062e\u0644\u0627\u0635\u0629 \u0648\u0633\u0644\u0633\u0644\u0629 \u0627\u0644\u062c\u0645\u0644 \u060c \u0643\u0627\u0646 \u0645\u0646 \u0627\u0644\u0636\u0631\u0648\u0631\u064a \u0627\u0644\u0628\u062d\u062b \u0641\u064a \u0637\u0628\u064a\u0639\u0629 \u0627\u0644\u0635\u0648\u062a \u0648\u062e\u0635\u0627\u0626\u0635\u0647 \u0627\u0644\u0641\u064a\u0632\u064a\u0627\u0626\u064a\u0629 \u060c \u0631\u0643\u0632\u0646\u0627 \u0627\u0646\u062a\u0628\u0627\u0647\u0646\u0627 \u0639\u0644\u0649 \u0625\u062d\u062f\u0649 \u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0635\u0648\u062a \u0648\u0647\u064a \u0627\u0644\u062a\u0631\u062f\u062f \u060c \u064a\u0642\u064a\u0633 \u0627\u0644\u0646\u0638\u0627\u0645 \u062a\u0631\u062f\u062f \u0627\u0644\u0625\u0634\u0627\u0631\u0629 \u0627\u0644\u0635\u0648\u062a\u064a\u0629. \u0627\u0639\u062a\u0645\u062f \u0627\u0644\u0628\u062d\u062b \u0639\u0644\u0649 \u0627\u0644\u0623\u0635\u0648\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0645 \u062c\u0645\u0639\u0647\u0627 \u0639\u0634\u0648\u0627\u0626\u064a\u0627\u064b \u060c \u0648\u0645\u0646 \u062b\u0645 \u0645\u0639\u0627\u0644\u062c\u0629 \u0647\u0630\u0647 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062a\u0642\u0646\u064a\u0629 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0622\u0644\u064a \u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u062c\u0646\u0633 \u060c \u0630\u0643\u0631\u0627\u064b \u0643\u0627\u0646 \u0623\u0645 \u0623\u0646\u062b\u0649 \u060c \u0628\u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u0635\u062d\u064a\u062d\u0629 \u060c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0635\u0648\u062a \u0648\u0647\u064a \u0627\u0644\u062a\u0631\u062f\u062f. \u0648\u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0627\u0644\u062a\u064a \u062a\u0645 \u0627\u0644\u062a\u0648\u0635\u0644 \u0625\u0644\u064a\u0647\u0627 \u0647\u064a \u0646\u062c\u0627\u062d \u0639\u0645\u0644\u064a\u0629 \u0627\u0644\u062a\u0635\u0646\u064a\u0641 \u0644\u0643\u0644\u0627 \u0627\u0644\u062c\u0646\u0633\u064a\u0646 \u062d\u0633\u0628 \u062c\u0648\u062f\u0629 \u0627\u0644\u0635\u0648\u062a. \u0627\u0644\u062a\u0634\u0648\u064a\u0634 \u0648\u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0648\u062c\u0648\u062f\u0629 \u0627\u0644\u0645\u064a\u0643\u0631\u0648\u0641\u0648\u0646 \u062a\u0624\u062b\u0631 \u0628\u0634\u0643\u0644 \u0645\u0628\u0627\u0634\u0631 \u0639\u0644\u0649 \u0646\u062a\u0627\u0626\u062c \u0627\u0644\u0646\u0638\u0627\u0645 \u0641\u064a \u0627\u0644\u062a\u0635\u0646\u064a\u0641 \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0625\u0644\u0649 \u0646\u062a\u0627\u0626\u062c \u063a\u064a\u0631 \u062f\u0642\u064a\u0642\u0629. \u0643\u0630\u0644\u0643 \u0643\u0644\u0645\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0627\u0634\u0627\u0631\u0629\u0629 \u0627\u0644\u0635\u0648\u062a\u064a\u0629 \u0627\u0644\u0645\u0633\u062c\u0644\u0629 \u062e\u0627\u0644\u064a\u0629 \u0645\u0646 \u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u0643\u0627\u0646\u062a \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0623\u0643\u062b\u0631 \u062f\u0642\u0629 \u060c \u0643\u0641\u0627\u0621\u0629 \u062a\u0642\u0646\u064a\u0629 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0630\u0627\u062a\u064a \u0641\u064a \u062d\u0633\u0627\u0628 \u0642\u064a\u0645\u0629 \u062a\u0631\u062f\u062f \u0627\u0644\u0625\u0634\u0627\u0631\u0629.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>1. Introduction:<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">The human voice is the most compatible medium for human interaction. When sound comes out of the vocal tract, it carries a lot of regional, dynamic, and logical atmospheric data. Using these types of information, we can learn about human language, gender, age, dialect, emotional and current state. (40).<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Gender recognition is a technique for identifying gender categories by analyzing a speaker&#8217;s vocal cues (41)(42).<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(43)(44). Moreover, we can see how effective a gender classification system is in many advanced fields such as medical fields in identifying COVID-19 disease &#8211; through voice and commercial fields, forensic investigation, robotics, security system, and more.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>2. Related Studies<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">In paper(45) Comparison is drawn between male and female larynges on the basis of overall size, vocal fold membranous length, elastic properties of tissue, and prephonatory glottal shape,in paper(46) An investigation has been reported to determine the importance of sound frequencies, pitch, and source spectrum slope on sound classification. Eight professional singers sang five common vowels on four common tones, and in a forced-choice test, vocal teachers rated the pronunciation as tone, baritone, or bass. Measurements of spoken vowel sounds reveal higher pitched frequencies in the tenor type and lower frequencies in the bass type, This paper (47) presents a pitch-range (PR) based feature set for age and gender classification. The performance of the proposed feature set is compared with MFCCs, energy, relative spectral transform\u2013perceptual linear prediction (RASTA_PLP), and fundamental frequency (F0). Voice activity detection (VAD) is performed to extract speech utterances before feature extraction. Two different classifiers, k-Nearest Neighbors (kNN) and Support Vector Machines (SVM) are used in order to evaluate the effectiveness of the feature sets, in paper(48) It includes developing a gender model for gender recognition from a speech signal. In our current system fuzzy logic is used and<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">The neural network approach did not produce the exact required result for gender classification due to the complexity of the training network.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">To overcome this problem, various evolutionary algorithms such as Genetic Algorithm (GA) are applied in sex classification.in paper(49) Gender classification of audio data. The agenda is to determine gender, using five different algorithms: Discriminant Linear Analysis (LDA), K-type Nearest Neighborhood (KNN), Classification and Regression Trees (CART), Random Forest (RF), and Supporting Vector Machine (SVM) based on eight different scales.in paper(50) A gender classifier was developed using two different data sets in different languages, English and Bahasa Indonesian. Each of the two data sets is represented by 20 audio features. Multi Layer Perceptron (MLP) is used to build the classification model using all these features and is trained only on the English dataset.<\/p>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">3.PROPOSED SYSTEM AND METHODS<\/h1>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">The paper proposed a new method, which is to identify the gender (male\/female) through the voice using the autocorrelation technique, and the focus was on one of the sound characteristics, which is frequency.A. How the Proposed Solution work<\/h1>\n<p dir=\"ltr\" style=\"text-align: justify;\">A rating system consists of multiple stages, focusing on one of the characteristics of sound, which is frequency, to know the final result. Through which the entrance sound is classified by both sexes (whether male or female)The proposed system operates in the following stages:<\/p>\n<ul dir=\"ltr\" style=\"text-align: justify;\">\n<li>Inputs stage.<\/li>\n<li>sampling stage<\/li>\n<li>Pre-processing stage<\/li>\n<li>Classification stage<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>B. Functional Flow Diagram<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">The processing of model flow blew diagram figure 3.1.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Input<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Sampling<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Preprocessing<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Classification<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>Gender<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Figure 1: Shows the data flow diagram<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">The proposed system works in the following states:<\/p>\n<ol dir=\"ltr\" style=\"text-align: justify;\">\n<li><strong>Inputs:<\/strong><\/li>\n<\/ol>\n<p dir=\"ltr\" style=\"text-align: justify;\">At this stage, the system takes the audio signal to be categorized by either real-time recording or by bringing a saved load sound file. There are two ways of the input process, which are as follows:<\/p>\n<ul dir=\"ltr\" style=\"text-align: justify;\">\n<li>Real-time Record method.<\/li>\n<li>the method of fetching or fetching a saved audio file.<\/li>\n<\/ul>\n<ol dir=\"ltr\" style=\"text-align: justify;\">\n<li><strong>Samples:<\/strong><\/li>\n<\/ol>\n<p dir=\"ltr\" style=\"text-align: justify;\">the input signal is an analog signal, it is converted the analog signal into a digital signal.<\/p>\n<ol dir=\"ltr\" style=\"text-align: justify;\">\n<li><strong>Preprocessing:<\/strong><\/li>\n<\/ol>\n<p dir=\"ltr\" style=\"text-align: justify;\">The sound is filtered from noise or distortion so that the frequency is calculated more accurately<\/p>\n<ol dir=\"ltr\" style=\"text-align: justify;\">\n<li><strong>Classification:<\/strong><\/li>\n<\/ol>\n<p dir=\"ltr\" style=\"text-align: justify;\">This stage is considered one of the most important. At this stage, the basic frequency of the audio signal is calculated, from which a classification process is performed whether the input signal is male or female.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>3.Implementation and evolution of system <\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">We have implemented these techniques in Matlab and Auto-Correlation software. Thus, it is important to determine the most appropriate approach to its application. As defined before, there are several stages to the performance of the type classification system<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">We randomly selected 30 samples, 15 male samples and 15 female samples, 13 samples that were correctly classified as males, and 14 samples that were correctly classified on the basis that they were female, as the system misclassified 3 sample from A out of 15 samples from the adult category that the system aims to classify according to their voices and frequencies.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Table 1: Sample diagnosed results and status.<\/p>\n<table dir=\"ltr\">\n<tbody>\n<tr>\n<td>\u0627\u0644\u062d\u0627\u0644\u0629<\/td>\n<td>\u0646\u062a\u064a\u062c\u0629 \u0627\u0644\u062a\u0635\u0646\u064a\u0641<\/td>\n<td>\u062a\u0631\u062f\u062f \u0627\u0644\u0639\u064a\u0646\u0629<\/td>\n<td>\u0627\u0644\u062a\u0631\u062f\u062f \u0627\u0644\u0637\u0628\u064a\u0639\u064a \u0644\u0644\u0625\u0646\u0627\u062b<\/td>\n<td>\u0627\u0644\u062a\u0631\u062f\u062f \u0627\u0644\u0637\u0628\u064a\u0639\u064a \u0644\u0644\u0630\u0643\u0648\u0631<\/td>\n<td>\u0627\u0644\u062c\u0646\u0633<\/td>\n<td>\u0627\u0644\u0631\u0642\u0645<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>138<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>1<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>167<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>138<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>3<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>105<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>4<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>154<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>5<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>174<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>129<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>7<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>8<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>127<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>9<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>False<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>11<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>157<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>12<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>145<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>13<\/td>\n<\/tr>\n<tr>\n<td>False<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>14<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>167<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>145<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>16<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>122<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>17<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>162<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>18<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>19<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>114<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>80<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>21<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>98<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>22<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>130<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>23<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>149<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>24<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>132<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>25<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>26<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>164<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>27<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>121<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>28<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>115<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>29<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>109<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>103<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>31<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>77<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>32<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>81<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>33<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>94<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>34<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>35<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>164<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>36<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>126<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>37<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>117<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>38<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>141<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>39<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>96<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>40<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>85<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>41<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>74<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>42<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>79<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>43<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>44<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>113<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>45<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>161<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>46<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>47<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>85<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>48<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>75<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>49<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>78<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>50<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>119<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>51<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>123<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>52<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>155<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>53<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>54<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>147<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>55<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>56<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>99<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>57<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>106<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>58<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>119<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>59<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>123<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>60<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>147<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>61<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>62<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>63<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>104<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>64<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>70<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>65<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>86<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>66<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>127<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>67<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>91<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>68<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>69<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>77<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>70<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>164<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>71<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>150<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>72<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>111<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>73<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>125<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>74<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>161<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>75<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>149<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>76<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>109<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>77<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>114<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>78<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>127<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>79<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>135<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>80<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>140<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>81<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>158<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>82<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>145<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>83<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>73<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>85<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>159<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>86<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>144<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>87<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>162<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>88<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>89<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>115<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>103<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>91<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>85<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>92<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>74<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>93<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>113<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>94<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>133<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>95<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>139<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>96<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>97<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>161<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>98<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>108<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>99<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>128<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>100<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>76<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>101<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>89<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>102<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>122<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>103<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>142<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>104<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>128<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>105<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>106<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>95<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>107<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>114<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>108<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>160<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>109<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>157<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>133<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>111<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>122<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>112<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>137<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>113<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>155<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>114<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>109<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>115<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>150<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>116<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>79<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>117<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>124<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>118<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>131<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>119<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>130<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>120<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>99<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>121<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>105<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>122<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>112<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>123<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>137<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>124<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>125<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>125<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>126<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>88<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>127<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>128<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>128<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>75<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>129<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>81<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>130<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>129<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>131<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>154<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>132<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>161<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>133<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>120<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>134<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>111<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>135<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>101<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>136<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>89<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>137<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>131<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>138<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>95<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>139<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>121<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>140<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>127<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>141<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>163<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>142<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>151<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>143<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>142<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>144<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>110<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>145<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>93<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>146<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>128<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>147<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>130<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>148<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>164<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>149<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Male<\/td>\n<td>112<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Male<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>151<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>205<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>152<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>153<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>242<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>154<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>235<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>155<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>156<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>157<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>158<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>159<\/td>\n<\/tr>\n<tr>\n<td>False<\/td>\n<td>Male<\/td>\n<td>167<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>160<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>161<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>162<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>163<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>164<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>165<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>166<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>220<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>167<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>190<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>168<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>214<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>169<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>170<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>199<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>171<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>203<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>172<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>223<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>173<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>234<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>174<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>197<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>175<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>188<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>176<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>209<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>177<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>178<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>236<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>179<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>194<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>180<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>205<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>181<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>188<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>182<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>224<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>183<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>249<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>184<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>242<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>185<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>233<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>186<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>205<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>187<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>188<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>187<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>189<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>190<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>213<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>191<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>192<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>193<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>231<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>194<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>241<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>219<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>196<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>210<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>197<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>201<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>198<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>199<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>199<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>220<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>201<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>214<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>202<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>235<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>203<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>228<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>204<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>204<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>205<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>191<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>206<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>891<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>207<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>208<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>209<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>210<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>231<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>249<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>212<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>212<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>213<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>208<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>214<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>202<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>215<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>196<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>216<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>186<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>217<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>218<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>202<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>219<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>233<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>220<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>221<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>224<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>223<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>213<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>224<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>191<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>225<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>203<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>226<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>214<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>227<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>244<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>228<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>249<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>187<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>230<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>212<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>231<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>227<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>232<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>239<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>233<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>225<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>234<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>235<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>191<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>236<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>198<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>237<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>201<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>238<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>238<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>239<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>240<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>241<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>216<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>242<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>243<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>248<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>244<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>245<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>214<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>246<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>234<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>247<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>249<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>248<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>249<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>230<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>222<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>251<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>198<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>252<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>202<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>253<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>238<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>254<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>255<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>224<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>256<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>257<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>212<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>258<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>221<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>259<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>247<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>260<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>208<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>261<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>241<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>262<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>187<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>263<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>191<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>264<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>265<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>239<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>266<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>202<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>267<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>210<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>268<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>233<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>269<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>241<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>270<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>230<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>271<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>201<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>272<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>195<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>273<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>211<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>274<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>218<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>275<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>206<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>276<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>235<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>277<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>217<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>278<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>221<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>279<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>280<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>199<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>281<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>185<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>282<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>208<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>283<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>284<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>219<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>285<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>286<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>232<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>287<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>244<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>288<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>248<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>289<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>188<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>290<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>250<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>291<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>220<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>292<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>213<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>293<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>227<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>294<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>243<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>295<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>204<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>296<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>234<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>297<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>229<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>298<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>212<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>299<\/td>\n<\/tr>\n<tr>\n<td>True<\/td>\n<td>Female<\/td>\n<td>200<\/td>\n<td>186 \u2013 250 Hz<\/td>\n<td>75 \u2013 185 Hz<\/td>\n<td>Female<\/td>\n<td>300<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p dir=\"ltr\" style=\"text-align: justify;\">Table 2: shows frequency and percent of health and positive samples.<\/p>\n<table dir=\"ltr\">\n<tbody>\n<tr>\n<td><\/td>\n<td>Frequency<\/td>\n<td>Percent<\/td>\n<\/tr>\n<tr>\n<td>Male<\/td>\n<td>148<\/td>\n<td>43.30%<\/td>\n<\/tr>\n<tr>\n<td>False parcent for male<\/td>\n<td>2<\/td>\n<td>6.6%<\/td>\n<\/tr>\n<tr>\n<td>Female<\/td>\n<td>149<\/td>\n<td>46.70%<\/td>\n<\/tr>\n<tr>\n<td>False Percent<\/p>\n<p>For female<\/td>\n<td>1<\/td>\n<td>3%<\/td>\n<\/tr>\n<tr>\n<td>Total<\/td>\n<td>300<\/td>\n<td>100%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">4. Conclusions:<\/h1>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">Recently, the importance of sound in practical life has emerged as it enters into many fields, and the science of sound is a modern and developed science, and many are still seeking to delve into this science because of its importance. Reaching this In developing this field, we encountered some difficulties in collecting information on the subject of the research, but, thank God, the system was implemented and implemented successfully.<\/h1>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">5.Future work:<\/h1>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">Some ideas are provided in this paper for future work. Future work is some suggestions to improve the proposed approach to female voice ordering, and to improve a new technique for classification.<\/h1>\n<h1 dir=\"ltr\" style=\"text-align: justify;\">Finally, the proposed technique is applied to male and female voices, with the exception of children&#8217;s voices because the results were inaccurate because the frequency of their voices was too high..<\/h1>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>6. Results:<\/strong><\/p>\n<ul dir=\"ltr\" style=\"text-align: justify;\">\n<li>Success rating for both sexes by sound<\/li>\n<li>The system was tested on 30 male and female samples, and the system test success rate was the same, while the error rate was<\/li>\n<li>Noise, noise, and microphone quality directly affect the rating system results, leading to inaccurate results<\/li>\n<li>The more noise and distortion the recorded audio signal is, the more accurate the results will be<\/li>\n<li>The efficiency of the autocorrelation technique in calculating the value of the signal frequency<\/li>\n<\/ul>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>7. Discussion:<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">Using a wide variety of human voices from the target group gives better results and better evaluation of the system, In this system, how much is targeting the adult group to classify them, so we recommend developing the system by integrating a set of mechanisms to be able to classify the age groups as a whole,Taking into account the recording of sounds in places free from noise and noise, and the use of a high-quality and sensitive microphone in picking up sounds with high accuracy so that the results are more accurate<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\"><strong>8.References:<\/strong><\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(40). Livieris,\u00a0I. E.,\u00a0Pintelas,\u00a0E., &amp;\u00a0Pintelas,\u00a0P.\u00a0(2019).\u00a0Gender recognition by voice using an improved self-labeled algorithm.\u00a0Machine Learning and Knowledge Extraction,\u00a01(1),\u00a0492\u2013503.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(41). Keyvanrad,\u00a0M. A., &amp;\u00a0Homayounpour,\u00a0M. M.\u00a0(2010, May).\u00a0Improvement on automatic speaker gender identification using classifier fusion. In\u00a02010 18th Iranian conference on electrical engineering\u00a0(pp.\u00a0538\u2013541).\u00a0IEEE.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(42). Alsulaiman,\u00a0M.,\u00a0Ali,\u00a0Z., &amp;\u00a0Muhammad,\u00a0G.\u00a0(2011, November).\u00a0Gender classification with voice intensity. In\u00a02011 UKSim 5th European symposium on computer modeling and simulation\u00a0(pp.\u00a0205\u2013209).\u00a0IEEE.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(43). Chaudhary,\u00a0S., &amp;\u00a0Sharma,\u00a0D. K.\u00a0(2018, October).\u00a0Gender identification based on voice signal characteristics. In\u00a02018 International conference on advances in computing, communication control and networking (ICACCCN)\u00a0(pp.\u00a0869\u2013874).\u00a0IEEE.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(44). Pahwa,\u00a0A., &amp;\u00a0Aggarwal,\u00a0G.\u00a0(2016).\u00a0Speech feature extraction for gender recognition.\u00a0International Journal of Image, Graphics and Signal Processing,\u00a08(9),\u00a017.<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(45). I.R.\u00a0Titze ,Physiologic and acoustic differences between male and female voices,The Journal of the Acoustical Society of America,\u00a085\u00a0(4)\u00a0(1989), pp.\u00a01699-1707<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(46). T.F.\u00a0Cleveland,Acoustic properties of voice timbre types and their influence on voice classification,The Journal of the Acoustical Society of America,\u00a061\u00a0(6)\u00a0(1977), pp.\u00a01622-1629<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(47). Barkana, B.D., Zhou, J.. A new pitch-range based feature set for a speaker\u2019s age and gender classification.\u00a0<em>Applied Acoustics<\/em>\u00a02015; 98:52\u201361<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(48). Jayasankar, T., Vinothkumar, K., Vijayaselvi, A.. Automatic gender identification in speech recognition by genetic algorithm.\u00a0<em>Applied Mathematics and Information Sciences<\/em>\u00a02017<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(49). A.\u00a0Raahul,\u00a0R.\u00a0Sapthagiri,\u00a0K.\u00a0Pankaj,\u00a0V.\u00a0VijayarajanVoice based gender classification using machine learning Materials Science and Engineering Conference Series,\u00a0263\u00a0(2017), p.\u00a0042083<\/p>\n<p dir=\"ltr\" style=\"text-align: justify;\">(50). Becker, K.. Gender recognition by voice and speech analysis.\u00a0<a href=\"http:\/\/github.com\/primaryobjects\/voice-gender\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/primaryobjects\/voice-gender<\/a>; 2019.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Elsir Mohamed Osman Alkbashi1 Mohammed Hussien Eltaieb Adam2 Neelain University, Sudan. Email: neneot449@gmail.com Download HNSJ, 2022, 3(12); https:\/\/doi.org\/10.53796\/hnsj31218 Published at 01\/12\/2022 Accepted at 10\/11\/2022 Abstract Proceeding from the importance of [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_joinchat":[],"footnotes":""},"class_list":["post-5066","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/pages\/5066","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/comments?post=5066"}],"version-history":[{"count":1,"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/pages\/5066\/revisions"}],"predecessor-version":[{"id":5102,"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/pages\/5066\/revisions\/5102"}],"wp:attachment":[{"href":"https:\/\/www.hnjournal.net\/ar\/wp-json\/wp\/v2\/media?parent=5066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}