Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

End-2-end speech synthesis with recurrent neural networks

This repository contains PyTorch implementation of 4 different models for classification of emotions of the speech.

Easier audio-based machine learning with TensorFlow.

CNN 1D vs 2D audio classification

A simple audio feature extraction library

A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.

Linear Prediction Coefficients estimation from mel-spectrogram implemented in Python based on Levinson-Durbin algorithm.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound

Basic wavenet and fftnet vocoder model.

Framework for one-shot multispeaker system based on Deep Learning

Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.

基于梅尔频谱的信号分类和识别

Open Source Implementation of Neural Voice Cloning with Few Audio Samples (Baidu Research)

Master's Thesis: Automatic Tagging of Musical Compositions Using Machine Learning Methods

Cough detection with Log Mel Spectrogram, Wavelet Transform, Deep learning and Transfer learning techniques