Real-Time Voice Cloning
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Overview
HEALTH SCORE
Concerning*
Partial score (2/3 categories)
31out of 65
Development cadence is the lead risk. Maintainer coverage is present but not enough to offset the structural risk. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Declining
Maintainer activity has dropped significantly over the past six months. Only 1 active maintainer remains. Issue response times are now averaging 5 days.
Health breakdown
Concerning*(31/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 5 days.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 179 organizations.
Project Achievements
Leaderboards
About
An implementation of zero-shot voice cloning that allows creating a synthetic speech clone of a voice using only a few seconds of audio. The system combines three deep learning models: a speaker encoder, a synthesizer, and a vocoder to enable real-time voice synthesis.
First commit
Software value
$137K
Tags
deep-learning
python
pytorch
tensorflow
tts
voice-cloning
License(s)
Other
Data sources
Git
GitHub