Speech recognizing method and apparatus, and speech translating system
    1.
    发明授权
    Speech recognizing method and apparatus, and speech translating system 失效
    语音识别方法与装置,语音翻译系统

    公开(公告)号:US5848389A

    公开(公告)日:1998-12-08

    申请号:US626132

    申请日:1996-04-05

    摘要: In a speech recognizing apparatus, a grammatical qualification of a proposed speech recognition result candidate is judged without using a grammatical rule. The speech recognizing apparatus for performing sentence/speech recognition is comprised of an analyzing unit for acoustically analyzing speech inputted therein to extract a feature parameter of the inputted speech; a recognizing unit for recognizing the inputted speech based upon the feature parameter outputted from said analyzing unit to thereby a plurality of proposed recognition result candidates; an example data base for storing therein a plurality of examples; and an example retrieving unit for calculating a resemblance degree between each of said plurality of proposed recognition result candidates and each of the plural examples stored in the example data base and for obtaining the speech recognition result based on said calculated resemblance degree.

    摘要翻译: 在语音识别装置中,在不使用语法规则的情况下判断所提出的语音识别结果候选者的语法资格。 用于执行句子/语音识别的语音识别装置包括用于对其中输入的语音进行声学分析的分析单元,以提取输入语音的特征参数; 识别单元,用于基于从所述分析单元输出的特征参数来识别所输入的语音,从而提供多个所提出的识别结果候选; 用于在其中存储多个示例的示例数据库; 以及示例检索单元,用于计算所述多个提出的识别结果候选中的每一个与存储在示例数据库中的多个示例中的每个之间的相似度,并且基于所计算的相似度获得语音识别结果。

    Translation apparatus and method for facilitating speech input operation
and obtaining correct translation thereof
    3.
    发明授权
    Translation apparatus and method for facilitating speech input operation and obtaining correct translation thereof 失效
    翻译装置和方法,用于促进语音输入操作并获得其正确的翻译

    公开(公告)号:US5963892A

    公开(公告)日:1999-10-05

    申请号:US670291

    申请日:1996-06-26

    摘要: A translation apparatus and a translation method arranged to facilitate the operation of inputting a speech and to obtain a correct translation. When a speech in Japanese is input to a microphone by a user, it is recognized in a speech recognition section and one or more words constituting the speech are output to a system control section. The system control section searches Japanese sentences stored in a first language sentence storage section to find one of them most similar to a combination of one or more words output from the speech recognition section. The Japanese sentence thereby found is output through an output section. If this Japanese sentence is correct, the user operates one of control keys. The system control section then searches English sentences stored in a second language sentence storage section to find one of them corresponding to a translation of the Japanese sentence output as a search result, and outputs the English sentence thereby found through the output section.

    摘要翻译: 一种翻译装置和翻译方法,被设置为便于输入语音的操作并获得正确的翻译。 当用户将话音输入到麦克风时,在语音识别部分中识别,并且将构成该语音的一个或多个单词输出到系统控制部分。 系统控制部分搜索存储在第一语言句存储部分中的日语句子,以找到与语音识别部分输出的一个或多个单词的组合最相似的其中之一。 由此找到的日语句子通过输出部分输出。 如果这个日语句子是正确的,用户操作一个控制键。 然后,系统控制部分搜索存储在第二语言句子存储部分中的英文句子,以便将与输出的日语句子的翻译相对应的其中之一作为搜索结果输出,并输出通过输出部分找到的英文句子。

    Mapping determination methods and data discrimination methods using the
same
    6.
    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

    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
    7.
    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

    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。

    Map determination method and apparatus
    8.
    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

    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。

    Noise suppressor
    9.
    发明授权
    Noise suppressor 失效
    噪声抑制器

    公开(公告)号:US5353408A

    公开(公告)日:1994-10-04

    申请号:US998724

    申请日:1992-12-30

    CPC分类号: G10L21/0208 G10L21/0364

    摘要: A code conversion table, in which a code of a voice with noise added thereto and a code of a voice without noise are associated with each other in terms of probability, is referred to in a code converter. Using the code converter, a code is obtained in a vector quantizer by vector-quantizing cepstrum coefficients extracted from the voice with noise added thereto, and is converted into a code of a voice obtained by suppressing the noise in the voice with noise added thereto. Linear predictive coefficients are obtained from the code, and the voice signal is reproduced in a synthesis filter according to the linear predictive coefficients.

    摘要翻译: 在代码转换器中参考代码转换表,其中附加有噪声的语音的代码和没有噪声的语音的代码在概率上彼此相关联。 使用码转换器,通过矢量量化从加上噪声的声音提取的倒频谱系数,在矢量量化器中获得代码,并将其转换为通过抑制噪声加上噪声而获得的声音代码。 从代码获得线性预测系数,并根据线性预测系数在合成滤波器中再现语音信号。

    Pattern matching method and pattern recognition apparatus
    10.
    发明授权
    Pattern matching method and pattern recognition apparatus 失效
    模式匹配方法和模式识别装置

    公开(公告)号:US5561722A

    公开(公告)日:1996-10-01

    申请号:US414046

    申请日:1995-03-03

    CPC分类号: G10L15/10 G06K9/64

    摘要: A pattern matching multiplies distances between an input pattern and standard patterns by distance-scale correcting weight coefficients respectively prepared for the standard patterns. This yields a distance corresponding to a category shape of a standard pattern and enhance an input pattern recognition ratio. A pattern recognition apparatus stores distance-scale correcting weight coefficients respectively prepared for all standard patterns in storage means. Distances between stored standard patterns and an input pattern generated by input pattern generating means are calculated. The calculated distance is multiplied by a weight coefficient stored in the storage means in accordance with the standard pattern used for calculating the distance from the input pattern. This structure reduces the number of templates when providing the standard patterns as multiple templates and, at the same time, enhances the input pattern recognition ratio.

    摘要翻译: 模式匹配通过分别为标准模式准备的距离尺度校正权重系数来乘以输入模式和标准模式之间的距离。 这产生与标准图案的类别形状相对应的距离,并增强输入模式识别率。 模式识别装置存储分别为存储装置中的所有标准模式准备的距离尺度校正权重系数。 计算存储的标准图案与由输入图案生成装置生成的输入图案之间的距离。 根据用于计算与输入图案的距离的标准图案,将计算出的距离乘以存储在存储装置中的加权系数。 当将标准图案提供为多个模板时,该结构减少了模板的数量,并且同时增强了输入模式识别率。