Speech synthesis using neural networks

    公开(公告)号:GB2326321A

    公开(公告)日:1998-12-16

    申请号:GB9812479

    申请日:1998-06-11

    Applicant: MOTOROLA INC

    Abstract: A method is presented for providing, in response to a lexical pronunciation, efficient generation of a postlexical pronunciation, including the steps of: determining lexical phones, lexical features, and boundary information for a predetermined portion of text; and utilizing a pretrained neural network that was pretrained using lexical phones, postlexical phones, lexical features, and boundary information to generate a neural network hypothesis for a postlexical pronunciation of the predetermined portion of text.

    System for animating virtual actors using linguistic representations of speech for visual realism.

    公开(公告)号:GB2328849A

    公开(公告)日:1999-03-03

    申请号:GB9815620

    申请日:1998-07-20

    Applicant: MOTOROLA INC

    Abstract: A neural network based parameter system 118 is used for generating a virtual actor (visually-rendered model with speech 132) of which the movements are correlated with synthetic speech.Text 102, used to drive the virtual actor, is converted 104 to a linguistic representation of speech 106, which is converted to neural network linguistic parameters 110 by pre-processor 108. The neural network module 112 converts the neural network linguistic parameters into raw spatial parameters 114, which are finally converted into model parameters 120 by a post-processor 116. These model parameters 120 are then used to drive the virtual actors. Alternatively, a non-neural network based linguistics-to-speech module is used to convert the linguistic representation of speech 106. The speaker profile of a linguistics-to-speech module 126 provides data to change the characteristics of the alternatively-synthesized speech 128.

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