When using OpusLM_7B_Anneal's text-to-speech function, the developer needs to load the model through the Text2Speech class and input the target text (such as the Chinese "Hello"), and the model will generate the corresponding PCM_16 encoded waveform data. The naturalness and smoothness of the output speech depends on the degree of match between the language of the input text and the training language of the model, with the best support for mainstream languages such as Chinese and English. The generated audio can be saved in WAV format, and the sampling rate is determined by the fs parameter of the model (usually 16kHz or 24kHz). This feature can be directly applied to video dubbing, intelligent broadcasting and other scenarios, by adjusting the configuration file can also be customized speech speed and intonation characteristics.
This answer comes from the articleOpusLM_7B_Anneal: an efficient unified model for speech recognition and synthesisThe
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