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.
205 stars. No commits in the last 6 months.
Use this if you need to transform written text into high-quality, synthetic speech that sounds natural and fluid.
Not ideal if you're looking for an out-of-the-box solution for commercial-grade speech synthesis without any technical setup or model training.
Stars
205
Forks
35
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 06, 2018
Commits (30d)
0
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