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

Speech synthesis with conditioning on very small dataset. Using Nvidia's Tacotron2 and WaveGlow models with Pytorch.