Qwen3-ASR-Flash-Filetrans
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语音识别
概述
语音识别
千问3-ASR-Flash的大文件转录版本,千问3-ASR-Flash是一款基于大语言模型的高精度、高智能、高鲁棒性的多语种语音识别模型。依托强大的基座模型、海量的文本与多模态数据、千万小时音频数据,千问3-ASR-Flash实现了高精度的语音识别功能,能够自动判断语种并准确识别多个语种的语音,在复杂的音频环境下能够保证精确转录。此版本为2025年11月17日的快照版本。
输入
音频
输出
文本
功能
定价
- 音频时长¥0.00022每秒
速率限制
- RPM每分钟请求数100
API 参考
获取 API Key复制成功!
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import os
import time
import requests
import json
API_URL_SUBMIT = "https://dashscope.aliyuncs.com/api/v1/services/audio/asr/transcription"
API_URL_QUERY_BASE = "https://dashscope.aliyuncs.com/api/v1/tasks/"
def main():
# If no environment variable is configured, please replace the downlink with the Bailian API Key: api_key = "sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"X-DashScope-Async": "enable"
}
payload = {
"model": "qwen3-asr-flash-filetrans-2025-11-17",
"input": {
"file_url": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
},
"parameters": {
"channel_id": [0],
# "language": "zh",
"enable_itn": False
# "corpus": {
# "text": ""
# }
}
}
try:
submit_resp = requests.post(API_URL_SUBMIT, headers=headers, data=json.dumps(payload))
except requests.RequestException as e:
print(f"Failed: {e}")
return
if submit_resp.status_code != 200:
print(f"Failed! HTTP code: {submit_resp.status_code}")
print(submit_resp.text)
return
resp_data = submit_resp.json()
output = resp_data.get("output")
if not output or "task_id" not in output:
print("resp_data:", resp_data)
return
task_id = output["task_id"]
print(f"任务已提交,task_id: {task_id}")
finished = False
while not finished:
time.sleep(2)
query_url = API_URL_QUERY_BASE + task_id
try:
query_resp = requests.get(query_url, headers=headers)
except requests.RequestException as e:
print(f"Failed: {e}")
return
if query_resp.status_code != 200:
print(f"Failed! HTTP code: {query_resp.status_code}")
print(query_resp.text)
return
query_data = query_resp.json()
output = query_data.get("output")
if output and "task_status" in output:
status = output["task_status"]
print(f"status: {status}")
if status.upper() in ("SUCCEEDED", "FAILED", "UNKNOWN"):
finished = True
print("task finished:")
print(json.dumps(query_data, indent=2, ensure_ascii=False))
else:
print("query data:", query_data)
if __name__ == "__main__":
main()