Gnani AI Timbre v3.0: multilingual speech model with tone and pace controls
Bengaluru startup Gnani AI released Timbre v3.0, an expressive multilingual TTS model with inline audio tags for whisper/laugh/sigh/pause/speed control.
Why it matters
First TTS built for Indian enterprise voice workloads: 9 Indian languages plus Indian-accented English with text normalization for numbers, dates and currencies, keeping one voice's character across languages.
What you could build with it
A regional media company producing audiobooks or dubbed training content in Hindi, Tamil, and Bengali could direct Timbre v3.0 with audio tags for pacing and emotion in one voice that keeps its character across languages. The result: studio-quality localized narration without recording separate voice actors per language.
Does it hold up?
Too early to judge - launched today (2026-10-14). The vendor claims sub-200ms first audio and 1 lakh+ hours of calls powered by Timbre, but no independent benchmarks, demos, or third-party production reports exist yet.
Built with Gnani AI Timbre v3.0
- Gnani AI Launches Timbre v3.0 AI Speech Model for Indian Languagesfyi9.com · Third-party writeup detailing the audio-tag controls (laugh, giggle, sigh, whisper, coughs, yawns) and the unified multilingual model preserving voice character across regions.
- livekit-plugins-gnani - LiveKit Agents plugin for Gnanipypi.org · LiveKit Agents plugin (maintained by Gnani) bringing Timbre TTS and Prisma STT into LiveKit voice agents - real evidence of Timbre in production voice-agent stacks.
- gnani-vachana - Official Gnani Python clientgithub.com · Official open client repo with REST/streaming/WebSocket examples and the Timbre voice catalog - what developers actually use to integrate Timbre.
- Gnani-AI-Mintlify/gnani-vachanagithub · 1 ★ · Official Python client (MIT) for Gnani STT/TTS across REST, SSE and WebSocket; README documents the Timbre engine, voices and model IDs.
Learn more
First spotted on article: source.
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