发明授权
US08340965B2 Rich context modeling for text-to-speech engines 有权
文本到语音引擎的丰富的上下文建模

Rich context modeling for text-to-speech engines
摘要:
Embodiments of rich context modeling for speech synthesis are disclosed. In operation, a text-to-speech engine refines a plurality of rich context models based on decision tree-tied Hidden Markov Models (HMMs) to produce a plurality of refined rich context models. The text-to-speech engine then generates synthesized speech for an input text based at least on some of the plurality of refined rich context models.
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