Qwen-TTS adopts a fully cloud-based service architecture to provide a one-stop speech synthesis solution through the Qwen API. The architecture is designed with three layers of core components: the front-end API gateway handles authentication and traffic control (relying on DASHSCOPE_API_KEY authentication), the middle-end inference engine runs 10 billion parametric TTS models, and the back-end connects to a distributed audio rendering cluster. This architecture eliminates the need for developers to deploy local models and allows them to obtain professional-grade speech synthesis capabilities by calling simple interfaces in languages such as Python.
Technical documentation shows that the typical API call latency control within 800ms, support for concurrent requests up to 5000QPS. for example, the sample code in the SpeechSynthesizer.call method, the user only needs to specify the text and voice parameters to obtain the audio URL. the system automatically completes the text normalization, rhyme prediction, waveform generation and other processes. The output format supports 16bit/44.1kHz broadcast-quality WAV files. This lightweight access method is especially suitable for fast iterative Internet application scenarios.
This answer comes from the articleQwen-TTS: Speech Synthesis Tool with Chinese Dialect and Bilingual SupportThe
