Wavenet SttAn end-to-end speech recognition system with Wavenet. Built using C++ and python.
Stars: ✭ 18 (-55%)
ParallelwaveganUnofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
Stars: ✭ 682 (+1605%)
FlowavenetA Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
Stars: ✭ 471 (+1077.5%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (+790%)
Time Series PredictionA collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Stars: ✭ 351 (+777.5%)
ClarinetA Pytorch Implementation of ClariNet
Stars: ✭ 273 (+582.5%)
hifigan-denoiserHiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Stars: ✭ 88 (+120%)
ttslearnttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
Stars: ✭ 158 (+295%)
chainer-Fast-WaveNetA Chainer implementation of Fast WaveNet(mel-spectrogram vocoder).
Stars: ✭ 33 (-17.5%)
QPPWGQuasi-Periodic Parallel WaveGAN Pytorch implementation
Stars: ✭ 41 (+2.5%)
Music-Style-TransferSource code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"
Stars: ✭ 16 (-60%)
wavenetAudio source separation (mixture to vocal) using the Wavenet
Stars: ✭ 20 (-50%)
Vq Vae SpeechPyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
Stars: ✭ 187 (+367.5%)
SeriesnetTime series prediction using dilated causal convolutional neural nets (temporal CNN)
Stars: ✭ 185 (+362.5%)
Tacotron 2DeepMind's Tacotron-2 Tensorflow implementation
Stars: ✭ 1,968 (+4820%)
Fast WavenetSpeedy Wavenet generation using dynamic programming ⚡
Stars: ✭ 1,705 (+4162.5%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+27650%)
Chainer Vq VaeA Chainer implementation of VQ-VAE.
Stars: ✭ 77 (+92.5%)
WavenetWaveNet implementation with chainer
Stars: ✭ 53 (+32.5%)
Tacotron2pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf
Stars: ✭ 46 (+15%)