A very fast speech recognizer built using selenium(webkit speech recognizer) with python

code for training a text-to-speech model

Acoustic Model for TTS

🔥 Deep NN Models with FRAMEWORKS -- PyTorch, Tensorflow 2, Kaldi, FastSpeech, MxNET Frameworks -- Image/Speech/NLP/Recommendation/Transformer Cognitive Analytics

Catalan Text to Speech

Korean text-to-speech

A Tensorflow Implementation of the FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).

This repository contains an attempt to incorporate Rasa Chatbot with state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models directly without the need of running additional servers or socket connections.

The Implementation of FastSpeech2 Based on Pytorch.

PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

AdaSpeech: Adaptive Text to Speech for Custom Voice

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

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech

PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)

A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型，适用于英语、普通话/中文、日语、韩语、俄语和藏语（当前已测试）。

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

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, aiming to achieve the ultimate TTS