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Spark-TTS

Overview Spark-TTS 是由出门问问（Mobvoi）联合多所顶尖学术机构（如香港科技大学、上海交通大学）最新推出的新一代语音合成模型，其核心创新在于BiCodec编码技术和与文本大模型的结构统一性，利用大型语言模型 (LLM) 的强大功能实现高度准确且自然的语音合成。 Spark-TTS is an advanced text-to-speech system that uses the power of large language models (LLM) for highly accurate and natural-sounding voice synthesis. It is designed to be efficient, flexible, and powerful for both research and production use. Key Features Simplicity and Efficiency: Built entirely on Qwen2.5, Spark-TTS eliminates the need for additional generation models like flow matching. Instead of relying on separate models to generate acoustic features, it directly reconstructs audio from the code predicted by the LLM. This approach streamlines the process, improving efficiency and reducing complexity. High-Quality Voice Cloning: Supports zero-shot voice cloning, which means it can replicate a speaker's voice even without specific training data for that voice. This is ideal for cross-lingual and code-switching scenarios, allowing for seamless transitions between languages and voices without requiring separate training for each one. Bilingual Support: Supports both Chinese and English, and is capable of zero-shot voice cloning for cross-lingual and code-switching scenarios, enabling the model to synthesize speech in multiple languages with high naturalness and accuracy. Controllable Speech Generation: Supports creating virtual speakers by adjusting parameters such as gender, pitch, and speaking rate. Inference Overview of Voice Cloning Inference Overview of Controlled Generation