REMOVE THE SILENCES (NON - SPEECH PART) FROM THE SIGNALS. CONVERT THEM TO FREQUENCY DOMAIN FOR DIGITAL ANALYSIS. EXTRACT FEATURES FROM THE AUDIOS. CREATE A DATABASE FOR THE SPEECH SIGNALS. TRAIN THE CLASSIFIER. TEST THE CLASSIFIER. CHECK FOR MAXIMUM ACCURACY. KNN Model (k = 4) was used. Efficiency obtained was 71.4286%
Shambhavi-Desh/Gender-Recognition-by-Voice
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REMOVE THE SILENCES (NON - SPEECH PART) FROM THE SIGNALS. CONVERT THEM TO FREQUENCY DOMAIN FOR DIGITAL ANALYSIS.
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