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

End-2-end speech synthesis with recurrent neural networks

Easier audio-based machine learning with TensorFlow.

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.

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.

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

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

基于梅尔频谱的信号分类和识别

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

Deep Multi-Speech model

This study converts piano recordings to mel spectrogram and classifies them by SOTA pre-trained neural network backbones in CV. Comparative experiments show that SqueezeNet achieves a best classification accuracy of 92.37%.|该项目将钢琴录���转为为mel频谱图，使用微调后的前沿计算机视觉领域预训练深度学习骨干网络对其进行分类，对比实验可知SqueezeNet作为最优网络正确率可达92.37%

Compute the MFCCs and measure (dis)similarity between two audio files using DTW

This repository contains different CNN methods for audio classification. It starts with canceling noise from audio. Then it converts the audio into a mel-spectrogram and trains with CNN models.

Bali has a diversity of arts that has been recognized by the world, where one of the most famous Balinese arts is the Karawitan art, especially the Kendang Tunggal instrument. Notation documentation or more commonly known as music transcription, can make learning a song easier, and in the case of this research, it makes it easier to learn to pla…

A pet project on music genre classification. Assigning the correct genre to the provided audio track.