WaveRNN and WaveGrad2

WaveRNN
51
Established
WaveGrad2
43
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 19/25
Stars: 2,179
Forks: 693
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 69
Forks: 18
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About WaveRNN

fatchord/WaveRNN

WaveRNN Vocoder + TTS

This project helps you create natural-sounding spoken audio from written text. You provide text sentences, and it produces high-quality audio files of that text being spoken. This tool is for anyone who needs to convert written content into lifelike speech, such as content creators, educators, or accessibility specialists.

text-to-speech audio-content-creation voice-synthesis digital-narration

About WaveGrad2

keonlee9420/WaveGrad2

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

This project helps you create natural-sounding spoken audio from written text. You provide text, and it generates speech recordings, allowing you to control the speaking rate. This is ideal for content creators, educators, or anyone needing to convert written material into audio.

text-to-speech audio-generation voiceover-production e-learning-content digital-publishing

Related comparisons

WaveRNN and waveglow

Scores updated daily from GitHub, PyPI, and npm data. How scores work