通义千问发布 Qwen-TTS 语音合成更新，新增北京话、上海话、四川话三种方言

API DISCORD

Introduction

Here we introduce the latest update of Qwen-TTS (qwen-tts-latest or qwen-tts-2025-05-22) through Qwen API . Trained on a large-scale dataset encompassing over millions of hours of speech, Qwen-TTS achieves human-level naturalness and expressiveness. Notably, Qwen-TTS automatically adjusts prosody, pacing, and emotional inflections in response to the input text. Notably, Qwen-TTS supports the generation of 3 Chinese dialects, including Pekingese, Shanghainese, and Sichuanese.

As of now, Qwen-TTS supports 7 Chinese-English bilingual voices, including Cherry, Ethan, Chelsie, Serena, Dylan (Pekingese), Jada (Shanghainese) and Sunny (Sichuanese). More languages and stylistic options will be released in the near future.

Samples of Chinese Dialects

Here are some samples showcase Qwen-TTS’s ability to capture dialects and natural speech patterns.

Additional Results

Qwen-TTS has demonstrated human-level performance, and metrics on the SeedTTS-Eval benchmark is shown below:

Here are some Chinese-English bilingual samples for these four speakers:

How to use

Using Qwen-TTS with Qwen API is simple. We demonstrate a code snippet for you to play with it below:

import os
import requests
import dashscope


def get_api_key():
    api_key = os.getenv("DASHSCOPE_API_KEY")
    if not api_key:
        raise EnvironmentError("DASHSCOPE_API_KEY environment variable not set.")
    return api_key


def synthesize_speech(text, voice="Dylan", model="qwen-tts-latest"):
    api_key = get_api_key()
    try:
        response = dashscope.audio.qwen_tts.SpeechSynthesizer.call(
            model=model,
            api_key=api_key,
            text=text,
            voice=voice,
        )
        
        # Check if response is None
        if response is None:
            raise RuntimeError("API call returned None response")
        
        # Check if response.output is None
        if response.output is None:
            raise RuntimeError("API call failed: response.output is None")
        
        # Check if response.output.audio exists
        if not hasattr(response.output, 'audio') or response.output.audio is None:
            raise RuntimeError("API call failed: response.output.audio is None or missing")
        
        audio_url = response.output.audio["url"]
        return audio_url
    except Exception as e:
        raise RuntimeError(f"Speech synthesis failed: {e}")


def download_audio(audio_url, save_path):
    try:
        resp = requests.get(audio_url, timeout=10)
        resp.raise_for_status()
        with open(save_path, 'wb') as f:
            f.write(resp.content)
        print(f"Audio file saved to: {save_path}")
    except Exception as e:
        raise RuntimeError(f"Download failed: {e}")


def main():
    text = (
        """哟，您猜怎么着？今儿个我看NBA，库里投篮跟闹着玩似的，张手就来，篮筐都得喊他“亲爹”了"""
    )
    save_path = "downloaded_audio.wav"
    try:
        audio_url = synthesize_speech(text)
        download_audio(audio_url, save_path)
    except Exception as e:
        print(e)


if __name__ == "__main__":
    main()

Summary

Qwen-TTS is a text-to-speech model that supports Chinese-English bilingual synthesis and several Chinese dialects. It aims to produce natural and expressive speech, and is available via API. While it shows promising results, we look forward to further improvements and broader language support in the future.