Qwen3-TTS-VC
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语音合成
概述
语音合成
Qwen3-TTS-Flash模型是通义最新推出的实时语音合成大模型,可对qwen-voice-enrollment服务复刻的声音进行高保真实时语音合成,且同一音色支持11个语种的语音输出。该模型经过海量数据训练,合成音频可以根据文本自适应调节语气,对复杂文本合成也有较好的处理能力。该模型为2026年01月22日快照版本模型。
输入
文本
输出
音频
功能
定价
- 语音合成¥0.8每万字符
速率限制
- RPM每分钟请求数180
API 参考
获取 API Key复制成功!
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import os
import requests
import base64
import pathlib
import dashscope
DEFAULT_TARGET_MODEL = "qwen3-tts-vc-2026-01-22"
DEFAULT_PREFERRED_NAME = "guanyu"
DEFAULT_AUDIO_MIME_TYPE = "audio/mpeg"
VOICE_FILE_PATH = "voice.mp3"
def create_voice(file_path: str,
target_model: str = DEFAULT_TARGET_MODEL,
preferred_name: str = DEFAULT_PREFERRED_NAME,
audio_mime_type: str = DEFAULT_AUDIO_MIME_TYPE) -> str:
api_key = os.getenv("DASHSCOPE_API_KEY")
file_path_obj = pathlib.Path(file_path)
if not file_path_obj.exists():
raise FileNotFoundError(f"音频文件不存在: {file_path}")
base64_str = base64.b64encode(file_path_obj.read_bytes()).decode()
data_uri = f"data:{audio_mime_type};base64,{base64_str}"
url = "https://dashscope.aliyuncs.com/api/v1/services/audio/tts/customization"
payload = {
"model": "qwen-voice-enrollment",
"input": {
"action": "create",
"target_model": target_model,
"preferred_name": preferred_name,
"audio": {"data": data_uri}
}
}
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
resp = requests.post(url, json=payload, headers=headers)
if resp.status_code != 200:
raise RuntimeError(f"create voice failed: {resp.status_code}, {resp.text}")
try:
return resp.json()["output"]["voice"]
except (KeyError, ValueError) as e:
raise RuntimeError(f"failed: {e}")
if __name__ == '__main__':
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'
text = "今天天气怎么样?"
response = dashscope.MultiModalConversation.call(
model=DEFAULT_TARGET_MODEL,
api_key=os.getenv("DASHSCOPE_API_KEY"),
text=text,
voice=create_voice(VOICE_FILE_PATH),
stream=False
)
print(response)