Large-scale text-to-speech models that generate high-quality Chinese dialect speech.
Bailing-TTS is a large-scale text-to-speech (TTS) model series developed by Giant Network’s AI Lab that focuses on generating high-quality Chinese dialect speech. The model uses continuous semi-supervised learning and a specific Transformer architecture to effectively align text and speech tokens through a multi-stage training process to achieve high-quality speech synthesis in Chinese dialects. Bailing-TTS has demonstrated speech synthesis effects close to natural human expressions in experiments, which is of great significance to the field of dialect speech synthesis.
Bailing-TTS is mainly targeted at developers and enterprises that require high-quality Chinese dialect speech synthesis, such as speech synthesis application developers, smart assistants, educational software, etc. It is particularly suitable for scenarios that require a natural and authentic dialect experience in voice interaction to enhance user experience.
The intelligent assistant uses Bailing-TTS to generate voice feedback in Henan dialect, providing a more intimate interactive experience.
Educational software uses Bailing-TTS to provide speech synthesis of native language teaching content for students in dialect areas.
Speech synthesis application developers use Bailing-TTS to provide customized dialect voice services for users in different regions.
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