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LLaSA_training is a speech synthesis training project based on LLaMA, which aims to improve the efficiency and performance of speech synthesis models by optimizing computing resources for training time and inference time. The project uses open source data sets and internal data sets for training, supports multiple configurations and training methods, and has high flexibility and scalability. Its main advantages include efficient data processing capabilities, powerful speech synthesis effects, and support for multiple languages. This project is suitable for researchers and developers who need high-performance speech synthesis solutions, and can be used to develop application scenarios such as intelligent voice assistants and voice broadcast systems.
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