crazycharles6 Goto Github PK

acl2018_graph2seq

Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"

attentions-in-tacotron

aud-crawler

A pakage for crawling audio from Youtube

audiosignalprocessingforml

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

auorange

Audio LPC (linear prediction code) using mel spectorgram, compatible for LPCNet

awesome-dynamic-convolution

Dynamic convolution Paper collection.

bigcidian

Pronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

bvae-tts

Official implementation of BVAE-TTS

chinese_text_normalization

Chinese text normalization for speech processing

clvc-experiments

Experiments on Cross Lingual Voice Cloning

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cotatron

Official code for Cotatron @ INTERSPEECH 2020

cross-lingual-voice-cloning

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

crystal

Crystal - C++ implementation of a unified framework for multilingual TTS synthesis engine with SSML specification as interface.

cs-tacotron-pytorch

Pytorch implementation of CS-Tacotron, a code-switching speech synthesis end-to-end generative TTS model.

dnn-hmm-course

DNN-HMM related Experiments for THUHCSI Course : <Digital Processing of Speech Signals>

dtw

DTW (Dynamic Time Warping) python module

durian-1

Implementation of "DurIAN: Duration Informed Attention Network For Multimodal Synthesis".

eats

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

emotional-speech-data

This is the GitHub page for publicly available emotional speech data.

espeak-ng

eSpeak NG is an open source speech synthesizer that supports 109 languages and accents.

fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

g2p

Grapheme To Phoneme

g2p-1

Grapheme-to-Phoneme conversion using attention based encoder-decoder models

g2ps

Data and code for grapheme-to-phoneme transducers in lots of languages

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gnnpapers

Must-read papers on graph neural networks (GNN)