speaker-adaptation

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

Implementation of the paper "Speaker Adaptive Training for Speech Recognition Based on Attention-over-Attention Mechanism" in Pytorch.

An effort to make PA speakers enjoyable for everyone.