Expressive text-to-speech using Hume AI's Octave models with word timestamps.
Tool
●
Unclaimed
Are you the maintainer?
Claim this page →Hume
Expressive text-to-speech using Hume AI's Octave models with word timestamps.
No votes yet
01 / About
About Hume.
02 / Discussion CREDIBILITY-GATED
Discussion · 0
Reading is open to everyone. Only verified humans or builders at GitHub B+ can post or vote — every comment carries its author's credibility.
🔒 Read-only view — verify your identity or
reach GitHub B+ to join the discussion. Get verified
- No comments yet — be the first to start the discussion.
03 / Related
More to explore.
●
ToolAsync
Text-to-speech via Async's WebSocket and HTTP APIs.
Score unavailable
●
ToolAWS Polly
Text-to-speech via Amazon Polly.
Score unavailable
●
ToolCartesia
Real-time speech-to-text and text-to-speech via Cartesia's streaming APIs.
Score unavailable
●
ToolDeepdub
Text-to-speech via Deepdub AI's streaming WebSocket API.
Score unavailable
●
ToolDeepgram
Real-time speech-to-text (Nova/Flux) and Aura text-to-speech.
Score unavailable
●
ToolElevenLabs
Expressive text-to-speech with word-level timing plus file-based transcription.
Score unavailable
04 / Build
Build with Hume.
Browse the catalogue for frameworks, tools, and blueprints — each scored on real GitHub credibility.
Browse the catalogue