ABexit/ASR-LLM-TTS
This is a speech interaction system built on an open-source model, integrating ASR, LLM, and TTS in sequence. The ASR model is SenceVoice, the LLM models are QWen2.5-0.5B/1.5B, and there are three TTS models: CosyVoice, Edge-TTS, and pyttsx3 observed · 2026-08-28
Health v2 · maintenance only
60/100
- Activity 85
- Release rhythm 35
- Longevity 47
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 659
- days_rel: n/a
- days_push: 91
- n_releases_24m: 0
Adoption not part of the score
1271 stars · 206 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source Python speech interaction pipeline that chains SenseVoice ASR, Qwen2.5 LLMs, and TTS engines (CosyVoice, Edge-TTS, pyttsx3) for real-time voice conversations. It adds features like wake-word detection, speaker/voiceprint recognition with CAM++, conversation history memory, interruption handling, and multimodal audio/video input via Qwen2-VL.
Use cases
- build a local voice assistant with speech recognition and tts
- real-time speech-to-speech conversation with an llm
- custom wake word detection for a voice assistant
- speaker identification for voice chat
- multimodal voice assistant that understands images and video
- interruptible real-time voice chat on gpu
When to choose
- you want a fully open-source, locally runnable ASR-LLM-TTS voice pipeline in Python
- you need Chinese-focused speech interaction with wake words and speaker recognition
- you want to experiment with different TTS engines or multimodal (audio/video) input
When to avoid
- you need a production-grade, scalable voice service rather than a research/demo codebase
- you have no GPU or cannot download models from HuggingFace/ModelScope
- you need English-first voice assistant tooling with polished packaging
Facets
application · maturity active
speech-recognition tts llm-inference audio-processing chatbot artificial-intelligence speech-processing large-language-models chatbots python cross-platform asr voice-assistant sensevoice qwen cosyvoice edge-tts voice-activity-detection speaker-recognition wake-word real-time gpu
1 source
- readme: https://github.com/ABexit/ASR-LLM-TTS · fetched 2026-08-28 · b079e99190de
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ABexit/ASR-LLM-TTS | main | 60 |
For agents
markdown · JSON · MCP: product_card(name="ABexit/ASR-LLM-TTS")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem