WaveRNN and waveglow
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.
About waveglow
npuichigo/waveglow
A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis
This helps generate realistic human-like speech from text or existing speech features. It takes linguistic information or acoustic features as input and produces natural-sounding audio. Voice artists, content creators, and accessibility specialists would find this useful for creating spoken content.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work