// 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.
| 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
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/aliyun-qwen-livetranslate/.Use one of these exact model strings:
qwen3-livetranslate-flashqwen3-livetranslate-flash-realtimemodel (string, optional): default qwen3-livetranslate-flashsource_language (string, required)target_language (string, required)audio_format (string, optional): e.g. pcmsample_rate (int, optional): e.g. 16000translated_text (string)source_text (string, optional)audio_url or audio_chunk (optional, model dependent)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
references/sources.mdUse when querying distributed traces or application metrics in Alibaba Cloud ARMS (Application Real-Time Monitoring Service). Use for trace search by service/duration/tags, trace detail and method stack retrieval, application listing, and performance metrics queries.
Smoke test for aliyun-arms-query skill. Validates script compilation and basic SDK client initialization.
Use when creating cloned voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from reference audio and then reusing the returned voice_id in later TTS calls.
Use when designing custom voices with Alibaba Cloud Model Studio CosyVoice customization models, especially cosyvoice-v3.5-plus or cosyvoice-v3.5-flash, from a voice prompt plus preview text before using the returned voice_id in TTS.
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Use when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.