batikim09

LIVE_SER

Live demo for speech emotion recognition using Keras and Tensorflow models

BVAE-TTS

Official implementation of BVAE-TTS

DeepLearningExamples

Deep Learning Examples

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

EATS

A pytroch implementation of the EETS: End-to-End Adversarial Text-to-Speech

espnet

End-to-End Speech Processing Toolkit

FastSpeech

The Implementation of FastSpeech based on pytorch.

FloWaveNet

A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

flowtron

Auto-regressive flow-based generative network for text to speech synthesis

generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

Glow_TTS

An implement of GlowTTS model. Several modes are added: speaker embedding, prosody encoder(GST), and gradient reversal.

hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

INTERSPEECH19_TUTORIAL

Interspeech 2019 tutorial materials

interspeech2019-tutorial

INTERSPEECH 2019 Tutorial Materials

LPCNet

Efficient neural speech synthesis

melgan

Unofficial PyTorch implementation of MelGAN vocoder (Training in progress)

Parallel-Tacotron2

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

ParallelWaveGAN

Unofficial Parallel WaveGAN implementation with Pytorch

PHASEN-PyTorch

PortaSpeech

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

survae_flows

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

vae-audio

Variational auto-encoders for audio

VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Waveglow_Inference_in_CUDA

C++ Code to run waveglow inference in cuda

WaveNODE

Pytorch Implementation of WaveNODE

WaveRNN-Pytorch

Fatcord's Alternative WaveRNN (Faster training)