公开(公告)号：US06175651B1

公开(公告)日：2001-01-16

申请号：US08865856

申请日：1997-05-30

申请人： Yoshikazu Ikebata ,  Kazunaga Yoshida ,  Yutaka Nakashima

发明人： Yoshikazu Ikebata ,  Kazunaga Yoshida ,  Yutaka Nakashima

IPC分类号： G06K900

CPC分类号： G06K9/4604 ,  G06K2209/01

摘要： An on-line character recognition method is disclosed that recognizes inputted characters on-line by finding distance between strokes for patterns in stroke units of inputted characters and patterns in stroke units for each reference stroke. Reference patterns and inputted character patterns are each divided and represented as stroke shape patterns that indicate the shapes of strokes and stroke position patterns that indicate the position or size of strokes. Inter-stroke shape distances corresponding to each stroke shape pattern and inter-stroke position distances corresponding to each stroke position pattern are found, following which the inter-stroke distance is found based on the inter-stroke shape distances and the inter-stroke position distances.

摘要翻译： 公开了一种在线字符识别方法，其通过针对每个参考笔画找到输入字符的笔划单位中的图案和笔划单元中的图案的笔画之间的距离来识别输入的字符。 参考图案和输入的字符图案被分割并表示为指示笔画的形状的笔画形状图案，其指示笔画的位置或大小。 发现对应于每个行程形状图形的行程间距形状距离和对应于每个行程位置图案的行程间位置距离，随后基于行程间距形状距离和行程间位置距离找到行程间距离 。

公开(公告)号：US07478046B2

公开(公告)日：2009-01-13

申请号：US10481324

申请日：2002-06-20

申请人： Eiko Yamada ,  Hiroshi Hagane ,  Kazunaga Yoshida

发明人： Eiko Yamada ,  Hiroshi Hagane ,  Kazunaga Yoshida

IPC分类号： G10L15/22 ,  G10L11/02 ,  H04B1/66

CPC分类号： G10L15/30

摘要： To provide a speech recognition apparatus which enables the reduction of transmission time and of costs. A terminal-side apparatus (100) includes a speech detection portion (101) for detecting a speech interval of inputted data, a waveform compression portion (102) for compressing waveform data at the detected speech interval, and a waveform transmission portion (103) for producing the compressed waveform data. A server-side apparatus (200) includes a waveform reception portion (201) for receiving the waveform data transmitted from the terminal-side apparatus, a waveform decompression portion (202) for decompressing the received waveform data, an analyzing portion (203) for analyzing the decompressed waveform data, and a recognizing portion (204) for performing recognition processing to produce a recognition result.

摘要翻译： 提供能够减少传输时间和成本的语音识别装置。 终端侧装置（100）包括用于检测输入数据的语音间隔的语音检测部（101），用于以检测到的语音间隔压缩波形数据的波形压缩部（102）和波形发送部（103） 用于产生压缩的波形数据。 服务器侧装置（200）包括：接收从终端侧装置发送的波形数据的波形接收部（201），对接收到的波形数据进行解压缩的波形解压缩部（202）;分析部（203），用于 分析解压缩波形数据，以及用于执行识别处理以产生识别结果的识别部分（204）。

公开(公告)号：US6047256A

公开(公告)日：2000-04-04

申请号：US77506

申请日：1993-06-17

申请人： Shinji Koga ,  Takao Watanabe ,  Kazunaga Yoshida

发明人： Shinji Koga ,  Takao Watanabe ,  Kazunaga Yoshida

IPC分类号： G10L11/00 ,  G10L15/02 ,  G10L15/06 ,  G10L15/14

CPC分类号： G10L15/14 ,  G10L15/063 ,  G10L15/02 ,  G10L15/142 ,  G10L2015/0631

摘要： In a system for recognizing a time sequence of feature vectors of a speech signal representative of an unknown utterance as one of a plurality of reference patterns, a generator (11) for generating the reference patterns has a converter (15) for converting a plurality of time sequences of feature vectors of an input pattern of a speech signal with variances to a plurality of time sequences of feature codes with reference to code vectors (14) which are previously prepared by the known clustering. A first pattern former (16) generates a state transition probability distribution and an occurrence probability distribution of feature codes for each state in a state transition network. A function generator (17) calculates parameters of continuous Gaussian density function from the code vectors and the occurrence probability distribution to produce the continuous Gaussian density function approximating the occurrence probability distribution. A second pattern former (18) produces a reference pattern defined by the state transition probability distribution and the continuous Gaussian density function. For a plurality of different training words, a plurality of reference patterns are generated and are memorized in the reference pattern generator.

摘要翻译： 在用于识别表示作为多个参考图案之一的未知发音的语音信号的特征向量的时间序列的系统中，用于生成参考图案的发生器（11）具有转换器（15），用于将多个 参考由先前由已知聚类准备的代码矢量（14），语音信号的输入模式的特征向量的时间序列具有方差与特征码的多个时间序列的方差。 第一图案形成器（16）在状态转换网络中产生状态转移概率分布和每个状态的特征码的发生概率分布。 函数发生器（17）从码矢量和出现概率分布计算连续高斯密度函数的参数，以产生接近发生概率分布的连续高斯密度函数。 第二模式形成器（18）产生由状态转移概率分布和连续高斯密度函数定义的参考模式。 对于多个不同的训练词，生成多个参考图案并将其存储在参考图案生成器中。

公开(公告)号：US5150449A

公开(公告)日：1992-09-22

申请号：US688715

申请日：1991-04-23

申请人： Kazunaga Yoshida ,  Takao Watanabe

发明人： Kazunaga Yoshida ,  Takao Watanabe

IPC分类号： G06F15/18 ,  G06N3/00 ,  G06N99/00 ,  G10L11/00 ,  G10L15/02 ,  G10L15/06 ,  G10L15/08 ,  G10L15/10 ,  G10L15/16

CPC分类号： G10L15/07

摘要： A speech recognition apparatus of the speaker adaptation type operates to recognize an inputted speech pattern produced by a particular speaker by using a reference pattern produced by a voice of a standard speaker. The speech recognition apparatus is adapted to the speech of the particular speaker by converting the reference pattern into a normalized pattern by a neural network unit, internal parameters of which are modified through a learning operation using a normalized feature vector of the training pattern produced by the voice of the particular speaker and normalized on the basis of the reference pattern, so that the neural netowrk unit provides an optimum output similar to the corresponding normalized feature vector of the training pattern. In the alternative, the speech recognition apparatus operates to recognize an inputted speech pattern by converting the inputted speech pattern into a normalized speech pattern by the neural network unit, internal parameters of which are modified through a learning operation using a feature vector of the reference pattern normalized on the basis of the training pattern, so that the neural network unit provides an optimum output similar to the corresponding normalized feature vector of the reference pattern and recognizing the normalized speech pattern according to the reference pattern.

公开(公告)号：US6035063A

公开(公告)日：2000-03-07

申请号：US868071

申请日：1997-06-03

申请人： Yutaka Nakashima ,  Kazunaga Yoshida ,  Yoshikazu Ikebata

发明人： Yutaka Nakashima ,  Kazunaga Yoshida ,  Yoshikazu Ikebata

IPC分类号： G06K9/46 ,  G06K9/22 ,  G06K9/62 ,  G06K9/00

CPC分类号： G06K9/00429

摘要： An online character recognition system comprises a standard stroke storing unit for storing a standard stroke and its correlated standard stroke number, a standard stroke number of strokes storing unit for storing number of strokes information indicating in how many stroke character each standard stroke appears, a character dictionary storing unit for storing a category to be recognized and its correlated standard stroke number-string, a standard stroke control unit for referring to the standard stroke number of strokes storing unit to selectively read, from the standard stroke storing unit, a standard stroke having the same number of strokes information as the number of strokes of an input character, an inter-stroke distance calculating unit for calculating an inter-stroke distance between a standard stroke read by said standard stroke control unit and an input stroke, and a matching unit for recognizing an input character based on an inter-stroke distance calculated by the inter-stroke distance calculating unit.

摘要翻译： 一种在线字符识别系统，包括用于存储标准行程的标准行程存储单元及其相关的标准行程数，用于存储指示每个标准行程出现多少笔画字符的行程信息数量的标准行程数量的笔画存储单元， 字典存储单元，用于存储要识别的类别及其相关的标准行程数字串;标准行程控制单元，用于参考从标准行程存储单元选择性地读取的标准行程数量的行程存储单元， 与输入字符的笔画数相同数量的笔画信息，用于计算由所述标准笔画控制单元读取的标准笔画与输入笔画之间的行程间距离的行程间距离计算单元，以及匹配单元 用于基于通过间歇期计算的行程间距来识别输入字符 ke距离计算单元。

公开(公告)号：US5086472A

公开(公告)日：1992-02-04

申请号：US464084

申请日：1990-01-12

申请人： Kazunaga Yoshida

发明人： Kazunaga Yoshida

IPC分类号： G10L11/00 ,  G10L15/08 ,  G10L15/10 ,  G10L15/12 ,  G10L15/18 ,  G10L15/28

CPC分类号： G10L15/10

摘要： A conventional speech recognition network finite-state automaton, which follows regular grammar rules, is improved by adding subnetworks tapped into the original network at call and return points, whereby context-free grammar rules may be used, with avoidance of infinite loop response of a recurrent expression.A continuous speech recognition apparatus includes a standard pattern memory for storing standard patterns, a distance calculating section for calculating distances between frames of an input speech pattern and the standard patterns, an accumulation value calculating section for calculating accumulation values of the distances on matching paths which cause frames of the speech pattern and the standard patterns to correspond to each other, an accumulation value memory for storing the accumulation values, a return point memory for storing an address of a return point of a subnetwork in correspondence with the same address as that of the accumulation value memory, a call processing section for writing a minimum value of the accumulation values at a plurality of call points for the subnetwork as an initial value of the accumulation value for the subnetwork in the accumulation value memory and writing an address of a return point corresponding to the call point yielding the minimum value in the return point memory as an initial value, and a return processing section for writing an accumulation value at a terminal point of the subnetwork in the accumulation value memory addressed by the return point address stored in the return point memory at the terminal point of the subnetwork.

公开(公告)号：US5029212A

公开(公告)日：1991-07-02

申请号：US416560

申请日：1989-10-03

申请人： Kazunaga Yoshida

发明人： Kazunaga Yoshida

IPC分类号： G10L11/00 ,  G10L15/12 ,  G10L15/14

CPC分类号： G10L15/142

摘要： A continuous speech recognition unit using forward probabilities for recognizing continuous speech associated with standard patterns for given units of recognition comprises a standard template memory for storing Markov model standard templates of standard speech, which are composed of state sequences and transition probabilities between the states; an observation probability computing device for computing a forward probability for a feature vector time sequence; and a cumulative value computing device for determining a cumulative value based on the sum of previous cumulative values. The unit further comprises a matching pass memory for storing maximum values produced by the cumulative value computing means and a result processor for determining recognition results indicative of recognized words. The unit stores the transition giving the best probability in memory for each state and traces back the recognition result for the word sequence based on the transitions in memory.

公开(公告)号：US4764972A

公开(公告)日：1988-08-16

申请号：US866524

申请日：1986-05-23

申请人： Kazunaga Yoshida ,  Hiroshi Shimizu ,  Masao Watari

发明人： Kazunaga Yoshida ,  Hiroshi Shimizu ,  Masao Watari

IPC分类号： G06K9/68 ,  G06K9/00

CPC分类号： G06K9/68 ,  G06K9/6807

摘要： A recognition system for recognizing a plurality of continuous hand-written characters, employing a first memory in which isolated characters are stored, and a second memory which stores information, including interstroke character information, for connecting isolated characters. According to various embodiments of the invention, this interstroke information may be stored as part of a continuous character, or by itself.

摘要翻译： 一种识别系统，用于识别多个连续的手写字符，采用其中存储有隔离字符的第一存储器，以及存储包括中间字符信息的信息的第二存储器，用于连接隔离字符。 根据本发明的各种实施例，该中间行程信息可以被存储为连续字符的一部分，或者自身。

公开(公告)号：US06341170B2

公开(公告)日：2002-01-22

申请号：US09128550

申请日：1998-08-04

申请人： Yoshikazu Ikebata ,  Kazunaga Yoshida

发明人： Yoshikazu Ikebata ,  Kazunaga Yoshida

IPC分类号： G06K900

CPC分类号： G06K9/00006 ,  G07C9/00158

摘要： An organism collation apparatus capable of randomly selecting type of organism information to be collated is disclosed. A plurality of types of organism information owned by one human being like fingerprint patterns of the ten fingers are registered in advance for the different types like the “thumb of the right hand”. One type is selected from among the plurality of types of registered organism information, and inputting of organism information of the selected type is indicated to a person to be collated. In this condition, inputted organism information is accepted, and the inputted organism information and the registered organism information of the selected type are collated with each other.

摘要翻译： 公开了能够随机选择要整理的生物体信息类型的有机物校对装置。 对于像“右手的拇指”这样的不同类型，预先登记了一个人所拥有的多个类型的生物体信息，如十个手指的指纹图案。 从多种类型的注册生物体信息中选择一种类型，并且向被整理的人员指示所选类型的生物体信息的输入。 在这种情况下，输入的有机体信息被接受，并且输入的有机体信息和所选类型的登记的生物体信息相互整理。