Real-time speech synthesis with Alibaba Cloud Model Studio Qwen TTS Realtime models. Use when low-latency interactive speech is required, including instructi...
设计与多媒体
Alibaba Cloud AI Audio ASR Realtime
试用Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, li...
它能做什么
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, li...
技能文档
Category: provider
Model Studio Qwen ASR Realtime
Validation
mkdir -p output/alicloud-ai-audio-asr-realtime
python -m py_compile skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr-realtime/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-audio-asr-realtime/validate.txt is generated.
Output And Evidence
- Save session payloads and response samples under
output/alicloud-ai-audio-asr-realtime/.
Critical model names
Use one of these exact model strings:
qwen3-asr-flash-realtimeqwen3-asr-flash-realtime-2026-02-10
Use cases
- Realtime subtitles and captions
- Voice-agent duplex input
- Streaming speech-to-text in browser or terminal clients
Prerequisites
- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials. - Realtime sessions generally require WebSocket or streaming session handling in the client.
Normalized interface (asr.realtime)
Request
model(string, optional): defaultqwen3-asr-flash-realtimelanguage_hints(array, optional)format(string, optional): e.g.pcm,wavsample_rate(int, optional): e.g.16000chunk_ms(int, optional): frame size in milliseconds
Response
text(string): recognized transcript fragmentis_final(bool): finalization markerusage(object, optional)
Quick start
Generate a request template:
python skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py \
--output output/alicloud-ai-audio-asr-realtime/request.json
Operational guidance
- Prefer 16kHz mono PCM unless your client stack requires another format.
- Keep chunks small enough for responsive partial results.
- If you only have recorded files, use
skills/ai/audio/alicloud-ai-audio-asr/instead.
References
references/sources.md
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