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    Map determination method and apparatus
    2.
    发明授权
    Map determination method and apparatus 失效
    地图确定方法和装置

    公开(公告)号：US5704013A

    公开(公告)日：1997-12-30

    申请号：US365493

    申请日：1994-12-28

    申请人： Masao Watari ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Katsuki Minamino

    发明人： Masao Watari ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Katsuki Minamino

    IPC分类号： G06N3/08 ,  G06F15/18

    CPC分类号： G06K9/6248 ,  G06N3/08

    摘要： A map determination method and apparatus for calculating the coefficients to give a minimum evaluation function quickly and reliably where a map is expressed as the linear sum of a function g.sub.i (X) and a coefficient c.sub.i while a map for transforming a N-dimensional vector (x.sub.0, x.sub.1, x.sub.2, x.sub.3) to a M-dimensional vector y is being decided. The coefficient ci for the map is obtained by giving a learning sample and a teaching sample, obtaining an evaluation function and solving a simultaneous linear equation for which the partial differential is zero.

    摘要翻译： 一种映射确定方法和装置，用于在将映射表示为函数gi（X）和系数ci的线性和的同时快速可靠地计算最小评估函数的系数，而用于变换N维向量的映射（ x0，x1，x2，x3）到M维矢量y。 通过给出学习样本和教学样本，获得评估函数并求解偏微分为零的同时线性方程式来获得地图的系数ci。

    Mapping determination methods and data discrimination methods using the same
    4.
    发明授权
    Mapping determination methods and data discrimination methods using the same 失效
    映射确定方法和使用该方法的数据鉴别方法

    公开(公告)号：US5796921A

    公开(公告)日：1998-08-18

    申请号：US540948

    申请日：1995-10-11

    申请人： Katsuki Minamino ,  Masao Watari ,  Miyuki Tanaka ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Hitoshi Honda

    发明人： Katsuki Minamino ,  Masao Watari ,  Miyuki Tanaka ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Hitoshi Honda

    IPC分类号： G06K9/62 ,  G06F15/18

    CPC分类号： G06K9/6232

    摘要： A mapping determination method for obtaining mapping F from an N-dimensional metric vector space .OMEGA..sub.N to an M-dimensional metric vector space .OMEGA..sub.M has the following steps to get the optimal mapping quickly and positively. In the first step, complete, periodic, L.sub.m basic functions g.sub.m (X) according to the distribution of samples classified into Q categories on the N-dimensional metric vector space .OMEGA..sub.N are set. In the second step, a function f.sub.m (X) indicating the m-th component of the mapping F is expressed with the linear sum of the functions g.sub.m (X) and L.sub.m coefficients c.sub.m. The third step provides Q teacher vectors T.sub.q =(t.sub.q.1, t.sub.q.2, t.sub.q.3, . . . , t.sub.q.M) (where q=1, 2, . . . , Q) for the categories on the M-dimensional metric vector space .OMEGA..sub.M, calculates the specified estimation function J, and obtains the coefficients c.sub.m which minimize the estimation function J. In the fourth step, the coefficients c.sub.m obtained in the third step are stored in memory.

    摘要翻译： 用于从N维量度向量空间OMEGA N到M维度量向量空间OMEGA M获得映射F的映射确定方法具有以下步骤以快速和积极地获得最佳映射。 在第一步中，根据在N维量度向量空间OMEGA N上分类为Q类别的样本分布，完成，定期，Lm基本函数gm（X）。 在第二步骤中，表示映射F的第m个分量的函数fm（X）用函数gm（X）和Lm系数cm的线性和表示。 第三步为M类别提供Q教师向量Tq =（tq.1，tq.2，tq.3，...，tq.M）（其中q = 1,2，...，Q） 维度度量向量空间OMEGA M计算指定的估计函数J，并获得使估计函数J最小化的系数cm。在第四步骤中，将第三步骤中获得的系数cm存储在存储器中。

    Voice recognition device and method using a (GGM) Guaranteed Global minimum Mapping
    6.
    发明授权
    Voice recognition device and method using a (GGM) Guaranteed Global minimum Mapping 失效
    使用（GGM）保证全局最小映射的语音识别装置和方法

    公开(公告)号：US5764853A

    公开(公告)日：1998-06-09

    申请号：US548278

    申请日：1995-10-25

    申请人： Masao Watari ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Katsuki Minamino

    发明人： Masao Watari ,  Kazuo Ishii ,  Yasuhiko Kato ,  Hiroaki Ogawa ,  Masanori Omote ,  Kazuo Watanabe ,  Katsuki Minamino

    IPC分类号： G10L15/06 ,  G10L15/02 ,  G10L15/14 ,  G10L15/20 ,  G10L19/00 ,  G10L5/06 ,  G10L9/00 ,  G06E1/00 ,  G06E3/00

    CPC分类号： G10L15/02 ,  G10L15/20

    摘要： A voice recognition device according to the present invention including a voice analyzer for acoustically analyzing voice every predetermined frame unit to extract a feature vector X, a converter for subjecting the feature vector X output from the analyzer to a predetermined conversion process, and a voice recognizer for recognizing the voice on the basis of a new feature vector output from the converter, wherein the converter conducts the predetermined conversion processing according to a mapping F from an N-dimensional vector space .OMEGA..sub.N to an M-dimensional vector space .OMEGA..sub.M, the feature vector X is a vector on the N-dimensional vector space .OMEGA..sub.N and the function f.sub.m (X) of an m-th component of the mapping F is represented by the following linear summation of the products of functions g.sub.m.sup.k (X) and coefficients c.sub.m.sup.k of L.sub.m : ##EQU1## Each function g.sub.m.sup.k (X) may be set to a monomial.

    摘要翻译： 根据本发明的语音识别装置包括：语音分析器，用于每个预定帧单元声音分析语音以提取特征向量X;转换器，用于使从分析器输出的特征矢量X经历预定的转换处理;以及语音识别器 用于基于从转换器输出的新特征向量来识别语音，其中，转换器根据从N维向量空间OMEGA N到M维向量空间OMEGA M的映射F进行预定的转换处理， 特征向量X是N维向量空间OMEGA N上的向量，映射F的第m个分量的函数fm（X）由函数gmk（X）和系数的乘积的以下线性求和来表示 cmk的Lm：每个函数gmk（X）可以被设置为一个单项。

    Speech recognition with feedback from natural language processing for adaptation of acoustic model
    7.
    发明授权
    Speech recognition with feedback from natural language processing for adaptation of acoustic model 有权
    语音识别与自然语言处理反馈，适用于声学模型

    公开(公告)号：US07236922B2

    公开(公告)日：2007-06-26

    申请号：US11075561

    申请日：2005-03-08

    申请人： Hitoshi Honda ,  Masanori Omote ,  Hiroaki Ogawa ,  Hongchang Pao

    发明人： Hitoshi Honda ,  Masanori Omote ,  Hiroaki Ogawa ,  Hongchang Pao

    IPC分类号： G10L5/06 ,  G10L5/18 ,  G06F17/28

    CPC分类号： G10L15/075 ,  G10L15/063 ,  G10L2015/0638

    摘要： A speech processing system including a speech recognition unit to receive input speech, and a natural language processing unit. The speech recognition unit performs speech recognition on input speech using acoustic models to produce a speech recognition result. The natural-language processing unit performs natural language processing on the speech recognition result, and includes: a machine translation unit; a dialog management unit; and a feedback unit. The feedback unit configured to feed back information obtained as a result of the natural language processing performed in the machine translation unit and the dialog management unit. The speech recognition unit processes feedback information including adaptation zones to adapt the acoustic models so that it can produce the speech recognition result with higher precision than when adaptation zones are not used.

    摘要翻译： 一种包括接收输入语音的语音识别单元和自然语言处理单元的语音处理系统。 语音识别单元使用声学模型对输入语音执行语音识别，以产生语音识别结果。 自然语言处理单元对语音识别结果执行自然语言处理，并且包括：机器翻译单元; 对话管理单元; 和反馈单元。 反馈单元，被配置为反馈在机器翻译单元和对话管理单元中执行的自然语言处理的结果获得的信息。 语音识别单元处理包括自适应区域的反馈信息以适应声学模型，使得它能够以比不使用自适应区域更高的精度产生语音识别结果。

    Speech recognition with feeback from natural language processing for adaptation of acoustic model
    8.
    发明申请
    Speech recognition with feeback from natural language processing for adaptation of acoustic model 有权
    语音识别与自然语言处理对于声学模型的适应

    公开(公告)号：US20050149319A1

    公开(公告)日：2005-07-07

    申请号：US11075561

    申请日：2005-03-08

    申请人： Hitoshi Honda ,  Masanori Omote ,  Hiroaki Ogawa ,  Hongchang Pao

    发明人： Hitoshi Honda ,  Masanori Omote ,  Hiroaki Ogawa ,  Hongchang Pao

    IPC分类号： G06F17/28 ,  G10L15/00 ,  G10L15/06 ,  G10L15/18 ,  G06F17/27

    CPC分类号： G10L15/075 ,  G10L15/063 ,  G10L2015/0638

    摘要： A speech processing system including a speech recognition unit to receive input speech, and a natural language processing unit. The speech recognition unit performs speech recognition on input speech using acoustic models to produce a speech recognition result. The natural-language processing unit performs natural language processing on the speech recognition result, and includes: a machine translation unit; a dialog management unit; and a feedback unit. The feedback unit configured to feed back information obtained as a result of the natural language processing performed in the machine translation unit and the dialog management unit. The speech recognition unit processes feedback information including adaptation zones to adapt the acoustic models so that it can produce the speech recognition result with higher precision than when adaptation zones are not used.

    摘要翻译： 一种包括接收输入语音的语音识别单元和自然语言处理单元的语音处理系统。 语音识别单元使用声学模型对输入语音执行语音识别，以产生语音识别结果。 自然语言处理单元对语音识别结果执行自然语言处理，并且包括：机器翻译单元; 对话管理单元; 和反馈单元。 反馈单元，被配置为反馈在机器翻译单元和对话管理单元中执行的自然语言处理的结果获得的信息。 语音识别单元处理包括自适应区域的反馈信息以适应声学模型，使得它能够以比不使用自适应区域更高的精度产生语音识别结果。

    Multiple language voice recognition
    9.
    发明授权
    Multiple language voice recognition 有权
    多语言语音识别

    公开(公告)号：US08788256B2

    公开(公告)日：2014-07-22

    申请号：US12698963

    申请日：2010-02-02

    申请人： Ruxin Chen ,  Gustavo Hernandez-Abrego ,  Masanori Omote ,  Xavier Menendez-Pidal

    发明人： Ruxin Chen ,  Gustavo Hernandez-Abrego ,  Masanori Omote ,  Xavier Menendez-Pidal

    IPC分类号： G06F17/20

    CPC分类号： G10L15/187 ,  G10L2015/025

    摘要： Computer implemented speech processing generates one or more pronunciations of an input word in a first language by a non-native speaker of the first language who is a native speaker of a second language. The input word is converted into one or more pronunciations. Each pronunciation includes one or more phonemes selected from a set of phonemes associated with the second language. Each pronunciation is associated with the input word in an entry in a computer database. Each pronunciation in the database is associated with information identifying a pronunciation language and/or a phoneme language.

    摘要翻译： 计算机实现的语音处理由作为第二语言的母语的第一语言的非母语者产生第一语言的输入单词的一个或多个发音。 输入字被转换为一个或多个发音。 每个发音包括从与第二语言相关联的一组音素中选择的一个或多个音素。 每个发音都与计算机数据库中的条目中的输入单词相关联。 数据库中的每个发音都与识别发音语言和/或音素语言的信息相关联。