ChatTTS
★ 40.0k
vs
FunASR
★ 20.8k
ChatTTS vs FunASR
ChatTTS: ChatTTS is a generative speech model specifically designed for daily dialogue scenarios, such as LLM assistants. It offers natural and expressive speech with fine-grained control over prosodic features like laughter, pauses, and interjections.; FunASR: FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.
01
TL;DR
ChatTTSVoice / Speech · ★ 40.0k
When to choose:
- You need natural-sounding, conversational conversational text-to-speech synthesis with spontaneous pauses, sighs, and laughter.
- You want a self-hosted, open-weights TTS model optimized for conversational agents, podcasts, and dialog assistants in Python.
When to skip:
- You require commercial audio production with permissive licensing; the model weights are restricted under CC BY-NC 4.0 for non-commercial use.
- You need ultra-low-latency real-time voice-to-voice streaming with sub-200ms TTFT on minimal hardware.
FunASRVoice / Speech · ★ 20.8k
When to choose:
- You are building transcription, meeting notes or a voice agent and need the recognition layer, especially for Chinese with dialects and accents.
- You want more than transcription: voice activity detection, punctuation, speaker pipelines and emotion tags.
- You want to deploy on GPU, CPU, streaming servers, Docker or edge through GGUF, or serve an OpenAI-compatible API.
When to skip:
- You want a finished assistant: it is a toolkit for the recognition layer.
- You plan commercial use without checking model licences: weights are licensed separately from the MIT code.
- Your main languages are outside Chinese and a handful of others: coverage varies by model.
02
Side-by-Side Comparison
Field
ChatTTSFunASRCategory
Voice / Speech
Voice / Speech
Stars
★ 40.0k
★ 20.8k
License
AGPL-3.0 (code), CC BY-NC 4.0 (model)
MIT
Install Command
pip install ChatTTS
pip install funasr
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Tags
Text-to-Speech, Generative AI, Dialogue System
asr, audio, chinese
03
Features
ChatTTS01Conversational TTS optimized for dialogue-based tasks
02Fine-grained control over prosodic features (laughter, pauses, interjections)
03Superior prosody compared to most open-source TTS models
04Supports multiple speakers for interactive conversations
05Multilingual support for English and Chinese
FunASR01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
04
Use Cases
ChatTTS↳Providing voice output for LLM assistants in dialogue scenarios
↳Facilitating natural and interactive conversations with multiple speakers
↳Academic research and educational purposes in speech synthesis
FunASR↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
05
Best For
ChatTTSMost Popular
FunASRMost Popular
FAQ
FAQ
What is the difference between ChatTTS and FunASR?
Both ChatTTS and FunASR are in the Voice / Speech category. ChatTTS has 40.0k stars, while FunASR has 20.8k stars.
Which is better, ChatTTS or FunASR?
The best choice depends on your use case. Choose ChatTTS if Providing voice output for LLM assistants in dialogue scenarios, and FunASR if Meeting transcription with speaker labels, timestamps, and punctuation.
Is ChatTTS free or open source?
Yes, ChatTTS is open source on GitHub (AGPL-3.0 (code), CC BY-NC 4.0 (model)).
Is FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
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