multi-speaker topic

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

r9y9

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

aishoot

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aim...

keonlee9420

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimat...

keonlee9420

Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets

ranchlai

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Totoketchup

AirPlay and AirPlay 2 audio player

mikebrady

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to...

keonlee9420

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

netease-youdao

This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.

anton-jeran