Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu
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Updated
Feb 23, 2021 - Python
Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu
End-2-end speech synthesis with recurrent neural networks
Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)
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.
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
Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI
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