Waveglow Tacotron2 text to speech
-
Updated
Nov 24, 2020 - Jupyter Notebook
Waveglow Tacotron2 text to speech
Synthese vocale avec conditionnement sur tres petit jeu de données. Utilisation des modeles Tacotron2 et WaveGlow de Nvidia avec Pytorch.
Text-to-Speech models based on the NVIDIA's examples.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
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.
Tensorflow 2.0 implementation of the Nvidia Waveglow model
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 .
Web app, command-line interface and Python library for synthesizing Chinese texts into speech.
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.
(Multi Speaker) Text-To-Speech (TTS) project
A wavenet and waveglow based singing synthesizing system.
PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
Real-Time High-Fidelity Speech Synthesis without GPU
Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊
Add a description, image, and links to the waveglow topic page so that developers can more easily learn about it.
To associate your repository with the waveglow topic, visit your repo's landing page and select "manage topics."