StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
This repository has implementation for "Neural Voice Cloning With Few Samples"
PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
PyTorch implementation of Densely Connected Time Delay Neural Network
DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
Open Source Implementation of Neural Voice Cloning with Few Audio Samples (Baidu Research)
Code for "Error-driven Fixed-Budget ASR Personalization for Accented Speakers" in ICASSP 2021
Bilingual multi-speaker voice-cloning acoustic model — timbre disentanglement, few-shot cloning, prosody transfer (zh/en)
This is a modified version of Kaldi speech recognition toolkit with the codes of standard and Bayesian adaptation approaches, e.g., LHUC, LHN, PAct, etc..
Implementation of the paper "Speaker Adaptive Training for Speech Recognition Based on Attention-over-Attention Mechanism" in Pytorch.
Local-first Vietnamese/English streaming speech-to-text PWA with private voice personalization
An effort to make PA speakers enjoyable for everyone.
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