A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis

Multispeaker & Emotional TTS based on Tacotron 2 and Waveglow

Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊

Real-Time High-Fidelity Speech Synthesis without GPU

[Last Updated 2021] TTS from Cookie. Messy and experimental!

Text To Speech (TTS) GUI wrapper for NVIDIA Tacotron 2+Waveglow. For custom Twitch TTS.

PyTorch implementation of NVIDIA WaveGlow with constant memory cost.

A wavenet and waveglow based singing synthesizing system.

(Multi Speaker) Text-To-Speech (TTS) project

Web app, command-line interface and Python library for synthesizing Chinese texts into speech.

Extension to add advanced features to Wunjo AI

Another PyTorch implementation of Tacotron2 MMI (with waveglow) which supports n_frames_per_step>1 mode(reduction windows) and diagonal guided attention for robust alignments.

Command-line interface and Python library for synthesizing English texts into speech.

WaveGLow -- A Flow-based Generative Network for Speech Synthesis . PyTorch Code modified to run on TPUs .

Tensorflow 2.0 implementation of the Nvidia Waveglow model

homework for deep generation. Combine FastSpeech2 with different vocoders ⭐REFERENCE (modify origin repos): https://github.com/ming024/FastSpeech2 https://github.com/NVIDIA/waveglow https://github.com/mindslab-ai/univnet https://github.com/jik876/hifi-gan

W.I.P. talking discord buddy! Uses any finetuned (or not) GPT-2 model along with a custom Tacotron2 + Waveglow model to create a custom discord bot that actively participates in voice chats.

This is a bot that will accept voice messages and reply back in voice messages.

Waveglow Tacotron2 text to speech

Text-to-Speech models based on the NVIDIA's examples.