| name | aliyun-qwen-livetranslate |
| description | Use when live speech translation is needed with Alibaba Cloud Model Studio Qwen LiveTranslate models, including bilingual meetings, realtime interpretation, and speech-to-speech or speech-to-text translation flows. |
| version | 1.0.0 |
Category: provider
Model Studio Qwen LiveTranslate
Validation
mkdir -p output/aliyun-qwen-livetranslate
python -m py_compile skills/ai/audio/aliyun-qwen-livetranslate/scripts/prepare_livetranslate_request.py && echo "py_compile_ok" > output/aliyun-qwen-livetranslate/validate.txt
Pass criteria: command exits 0 and output/aliyun-qwen-livetranslate/validate.txt is generated.
Output And Evidence
- Save translation session payloads and response summaries under
output/aliyun-qwen-livetranslate/.
Critical model names
Use one of these exact model strings:
qwen3-livetranslate-flash
qwen3-livetranslate-flash-realtime
Typical use
- Chinese/English meeting interpretation
- Live subtitles in another language
- Call-center agent assist with translated captions
Normalized interface (audio.livetranslate)
Request
model (string, optional): default qwen3-livetranslate-flash
source_language (string, required)
target_language (string, required)
audio_format (string, optional): e.g. pcm
sample_rate (int, optional): e.g. 16000
Response
translated_text (string)
source_text (string, optional)
audio_url or audio_chunk (optional, model dependent)
Quick start
python skills/ai/audio/aliyun-qwen-livetranslate/scripts/prepare_livetranslate_request.py \
--source-language zh \
--target-language en \
--output output/aliyun-qwen-livetranslate/request.json
Notes
- Prefer the realtime model for continuous streaming sessions.
- Prefer the non-realtime flash model for simpler integration and lower client complexity.
References