Repository consists code for processing wav audio files and training cnn to classify them into two categories. Training files should be placed as subdirectories to data directory named as our category label. Second script consists same processing and simple GUI with dropdown menu to use already trained model. Previously trained model with accuracy about 85% also has been attached. It has been trained with dataset of 1300 voice samples.
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naattann/PythonSpeakerGenderClassifier
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