A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis
-
Updated
Nov 6, 2018 - Python
A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis
A wavenet and waveglow based singing synthesizing system.
Tensorflow 2.0 implementation of the Nvidia Waveglow model
WaveGLow -- A Flow-based Generative Network for Speech Synthesis . PyTorch Code modified to run on TPUs .
Waveglow Tacotron2 text to speech
Text-to-Speech models based on the NVIDIA's examples.
Multispeaker & Emotional TTS based on Tacotron 2 and Waveglow
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.
This is a bot that will accept voice messages and reply back in voice messages.
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.
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
Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊
PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Synthese vocale avec conditionnement sur tres petit jeu de données. Utilisation des modeles Tacotron2 et WaveGlow de Nvidia avec Pytorch.
Web app, command-line interface and Python library for synthesizing Chinese texts into speech.
Command-line interface and Python library for synthesizing English texts into 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."