HumeAI/tada

Health v2 · maintenance only

Flags: no_releases young no_license

Adoption not part of the score

1009 stars · 112 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TADA is an open-source speech-language model from Hume AI that generates expressive, high-fidelity speech via text-acoustic dual alignment, synchronizing text and audio tokens one-to-one. It is released as a Python package (hume-tada) with pre-trained models on Hugging Face and claims to be the fastest LLM-based TTS system with virtually zero content hallucination.

Use cases

• convert text to natural expressive speech
• generate voice audio from a script
• build a voice agent with fast TTS
• run text-to-speech on-device with low memory
• synthesize emotional or expressive speech
• avoid hallucinated or skipped words in TTS output

When to choose

• you need fast, reliable LLM-based text-to-speech with low hallucination
• you want expressive, natural-sounding speech generation in Python
• you need efficient inference with bf16, prompt caching, and torch.compile optimizations
• you want an open-source TTS model light enough for on-device deployment

When to avoid

• you need speech recognition or transcription rather than speech synthesis
• you need a fully managed TTS API rather than self-hosted model inference
• you require a permissively licensed model without restrictions (license is non-standard)
• you need non-English speech synthesis support

Facets

library · maturity active

tts speech-recognition llm-inference machine-learning deep-learning speech-processing large-language-models artificial-intelligence python cross-platform speech-language-model text-to-speech voice-generation generative-ai hugging-face on-device-ai natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HumeAI/tada")