Distributed voice recognition system using acoustic feature vector modification
    1.
    发明专利
    Distributed voice recognition system using acoustic feature vector modification 有权
    使用声音特征向量修改的分布式语音识别系统

    公开(公告)号:JP2009151318A

    公开(公告)日:2009-07-09

    申请号:JP2009006033

    申请日:2009-01-14

    CPC classification number: G10L15/065 G10L15/30

    Abstract: PROBLEM TO BE SOLVED: To provide a distributed voice recognition system using acoustic feature vector modification.
    SOLUTION: The voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model (238). An adaptation engine (224) matches a set of acoustic feature vectors X with an adaptation model (228) to select a speaker-dependent feature vector modification function f(), which in turn is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model (238).
    COPYRIGHT: (C)2009,JPO&INPIT

    Abstract translation: 要解决的问题:提供使用声学特征向量修改的分布式语音识别系统。 解决方案:语音识别系统在声音识别模式匹配与扬声器无关的声学模型(238)之前,将声音特征向量应用于扬声器相关的修改功能。 适应引擎(224)将一组声学特征向量X与适配模型(228)匹配,以选择说话者依赖特征向量修改函数f(),然后将其应用于X以形成经修改的声学集合 特征向量f(X)。 然后通过将修改的声学特征向量f(X)与与扬声器无关的声学模型(238)相关联来执行语音识别。 版权所有(C)2009,JPO&INPIT

    Distributed voice recognition system using acoustic feature vector modification

    公开(公告)号:AU2002235513A1

    公开(公告)日:2002-08-28

    申请号:AU2002235513

    申请日:2002-01-30

    Applicant: QUALCOMM INC

    Abstract: A voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model. An adaptation engine matches a set of acoustic feature vectors X with an adaptation model to select a speaker-dependent feature vector modification function f( ), which is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model.

    3.
    发明专利
    未知

    公开(公告)号:DE60228682D1

    公开(公告)日:2008-10-16

    申请号:DE60228682

    申请日:2002-01-30

    Applicant: QUALCOMM INC

    Abstract: A voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model. An adaptation engine matches a set of acoustic feature vectors X with an adaptation model to select a speaker-dependent feature vector modification function f( ), which is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model.

    4.
    发明专利
    未知

    公开(公告)号:BR0206836A

    公开(公告)日:2006-01-17

    申请号:BR0206836

    申请日:2002-01-30

    Applicant: QUALCOMM INC

    Abstract: A voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model. An adaptation engine matches a set of acoustic feature vectors X with an adaptation model to select a speaker-dependent feature vector modification function f( ), which is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model.

    DISTRIBUTED VOICE RECOGNITION SYSTEM USING ACOUSTIC FEATURE VECTOR MODIFICATION
    6.
    发明申请
    DISTRIBUTED VOICE RECOGNITION SYSTEM USING ACOUSTIC FEATURE VECTOR MODIFICATION 审中-公开
    利用声学特征矢量修改的分布式语音识别系统

    公开(公告)号:WO02065453A3

    公开(公告)日:2002-10-24

    申请号:PCT/US0203014

    申请日:2002-01-30

    Applicant: QUALCOMM INC

    CPC classification number: G10L15/065 G10L15/30

    Abstract: A voice recognition system applies speaker-dependent modification functions to acoustic feature vectors prior to voice recognition pattern matching against a speaker-independent acoustic model (238). An adaptation engine (224) matches a set of acoustic feature vectors X with an adaptation model (228) to select a speaker-dependent feature vector modification function f(), which is then applied to X to form a modified set of acoustic feature vectors f(X). Voice recognition is then performed by correlating the modified acoustic feature vectors f(X) with a speaker-independent acoustic model (238).

    Abstract translation: 在语音识别模式匹配与说话者无关的声学模型(238)之前,语音识别系统将与说话者有关的修改函数应用于声学特征向量。 自适应引擎(224)将一组声学特征向量X与自适应模型(228)进行匹配以选择随讲话者而变的特征向量修改函数f(),然后将其应用于X以形成修改的声学特征向量集合 F(X)。 然后通过将修改的声学特征向量f(X)与不依赖于说话者的声学模型(238)进行相关来执行语音识别。

Patent Agency Ranking