GENERATING TARGET SEQUENCES FROM INPUT SEQUENCES USING PARTIAL CONDITIONING
    1.
    发明申请
    GENERATING TARGET SEQUENCES FROM INPUT SEQUENCES USING PARTIAL CONDITIONING 审中-公开
    使用局部调节从输入序列生成目标序列

    公开(公告)号:WO2017083695A1

    公开(公告)日:2017-05-18

    申请号:PCT/US2016/061597

    申请日:2016-11-11

    Applicant: GOOGLE INC.

    Abstract: A system can be configured to perform tasks such as converting recorded speech to a sequence of phonemes that represent the speech, converting an input sequence of graphemes into a target sequence of phonemes, translating an input sequence of words in one language into a corresponding sequence of words in another language, or predicting a target sequence of words that follow an input sequence of words in a language (e.g., a language model). In a speech recognizer, the RNN system may be used to convert speech to a target sequence of phonemes in real-time so that a transcription of the speech can be generated and presented to a user, even before the user has completed uttering the entire speech input.

    Abstract translation: 系统可以被配置为执行诸如将记录的语音转换为表示语音的音素序列的任务,将输入的字素序列转换为音素的目标序列,将输入的词序列 以一种语言转换成另一种语言的相应词语序列,或者预测在语言(例如,语言模型)中的词语的输入序列之后的词语的目标序列。 在语音识别器中,RNN系统可被用于实时地将语音转换为目标音素序列,使得即使在用户已经完成了整个讲话的讲话之前,语音的转录可被生成并呈现给用户 输入

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