In text to speech conversion, text information should be transformed into phonological sequence according to the corresponding rules, and then the phonological sequence should be transformed into sound waveform, so the conversion of text information to sound information can be divided into two stages. In the first stage, the text is transformed into sound. In addition to the prosody generation rules, this part also involves the processing technologies such as character sound conversion and word segmentation. In the second step, the speech waveform is generated by the processing technologies such as learning, semantic rules and algorithm guarantee. In the second step, the speech waveform is generated by the processing technologies such as learning, semantic rules and algorithm guarantee. In the second step, the speech waveform is generated by the processing technologies such as learning, semantic rules and algorithm guarantee Shape applies learning, semantic rules and algorithms to ensure that the speech stream with high naturalness and clarity can be output in real time.<br>
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