公开(公告)号：US20160203819A1

公开(公告)日：2016-07-14

申请号：US14980400

申请日：2015-12-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lin Ma ,  Weibin Zhang ,  Pascale Fung

IPC: G10L15/26 ,  G10L15/193 ,  G06F17/27 ,  G10L15/02

CPC classification number: G10L15/26 ,  G06F17/2755 ,  G06F17/2775 ,  G10L15/02 ,  G10L15/18 ,  G10L15/193

Abstract: The method includes acquiring a target spoken text, where the target spoken text includes a non-spoken morpheme and a spoken morpheme; determining, from a target weighted finite-state transducer (WFST) model database, a target WFST model corresponding to the target spoken text, where output of a state that is corresponding to the spoken morpheme and that is in the target WFST model is empty, and output and input of a state that is corresponding to the non-spoken morpheme and that is in the target WFST model are the same; and determining, according to the target WFST model, a written text corresponding to the target spoken text, where the written text includes the non-spoken morpheme and does not include the spoken morpheme.

Abstract translation: 该方法包括获取目标语音文本，其中目标口头文本包括非口头语素和口语语素; 从目标加权有限状态换能器（WFST）模型数据库确定与目标语音文本对应的目标WFST模型，其中对应于所述语音语素并且在目标WFST模型中的状态的输出为空， 并且与目标WFST模型相对应的对应于非语音语素的状态的输出和输入是相同的; 并且根据目标WFST模型确定与目标口头文本相对应的书面文本，其中书面文本包括非口头语素，并且不包括口语语素。

公开(公告)号：US09978371B2

公开(公告)日：2018-05-22

申请号：US14980400

申请日：2015-12-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lin Ma ,  Weibin Zhang ,  Pascale Fung

IPC: G10L15/26 ,  G10L15/193 ,  G06F17/27 ,  G10L15/02

CPC classification number: G10L15/26 ,  G06F17/2755 ,  G06F17/2775 ,  G10L15/02 ,  G10L15/18 ,  G10L15/193

Abstract: The method includes acquiring a target spoken text, where the target spoken text includes a non-spoken morpheme and a spoken morpheme; determining, from a target weighted finite-state transducer (WFST) model database, a target WFST model corresponding to the target spoken text, where output of a state that is corresponding to the spoken morpheme and that is in the target WFST model is empty, and output and input of a state that is corresponding to the non-spoken morpheme and that is in the target WFST model are the same; and determining, according to the target WFST model, a written text corresponding to the target spoken text, where the written text includes the non-spoken morpheme and does not include the spoken morpheme.