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Gender recognition by voice.



Description :

This Project proposes a deep learning-based approach for gender recognition using voice, which involves extracting features from audio recordings and training a deep neural network to predict the corresponding gender.We use a dataset of audio recordings of male and female voices and evaluate our approach on several metrics such as accuracy, precision, and recall


Procedure :

Firstly,converting mp3 to wav files .[(dataset 1 in the repository contains wav files)].

image

Secondly,extracting features from the wav files using librosa module in python.

Finally ,Deep learning models such as MLP,CNN,AlexNet,VGGNet-16 have been trained with the dataset.


Results :

image


✨ Thanks to all the Contributers ✨.

About

A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16

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