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公开(公告)号:US11488577B2
公开(公告)日:2022-11-01
申请号:US16907006
申请日:2020-06-19
发明人: Zhipeng Chen , Jinfeng Bai , Lei Jia
IPC分类号: G10L13/047 , G06N3/08 , G10L13/06 , G10L13/08
摘要: The present application discloses a training method and an apparatus for a speech synthesis model, electronic device, and storage medium. The method includes: taking a syllable input sequence, a phoneme input sequence and a Chinese character input sequence of a current sample as inputs of an encoder of a model to be trained, to obtain encoded representations of these three sequences at an output end of the encoder; fusing the encoded representations of these three sequences, to obtain a weighted combination of these three sequences; taking the weighted combination as an input of an attention module, to obtain a weighted average of the weighted combination at each moment at an output end of the attention module; taking the weighted average as an input of a decoder of the model to be trained, to obtain a speech Mel spectrum of the current sample at an output end of the decoder.