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BytesAgain β€Ί Skills β€Ί Alicloud Ai Audio Livetranslate
πŸ¦€ ClawHub

Alicloud Ai Audio Livetranslate

by @cinience

Use when live speech translation is needed with Alibaba Cloud Model Studio Qwen LiveTranslate models, including bilingual meetings, realtime interpretation,...

Versionv1.0.0
Downloads527
#clawhub
TERMINAL
clawhub install alicloud-ai-audio-livetranslate

πŸ“– About This Skill

name: alicloud-ai-audio-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/alicloud-ai-audio-livetranslate
python -m py_compile skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-livetranslate/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-audio-livetranslate/validate.txt is generated.

Output And Evidence

  • Save translation session payloads and response summaries under output/alicloud-ai-audio-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/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py \
  --source-language zh \
  --target-language en \
  --output output/alicloud-ai-audio-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

  • references/sources.md

    • πŸ’‘ Examples

    python skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py \
  --source-language zh \
  --target-language en \
  --output output/alicloud-ai-audio-livetranslate/request.json

    πŸ“‹ Tips & Best Practices

  • Prefer the realtime model for continuous streaming sessions.
  • Prefer the non-realtime flash model for simpler integration and lower client complexity.

    • πŸ”’ Constraints

    mkdir -p output/alicloud-ai-audio-livetranslate
python -m py_compile skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-livetranslate/validate.txt

    Pass criteria: command exits 0 and output/alicloud-ai-audio-livetranslate/validate.txt is generated.