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1. 发明授权

US5791904A Speech training aid 失效
标题翻译：言语训练辅助
公开(公告)号：US5791904A
公开(公告)日：1998-08-11
申请号：US664661
申请日：1996-06-17
申请人： Martin J. Russell , Robert W. Series , Julie L. Wallace
发明人： Martin J. Russell , Robert W. Series , Julie L. Wallace
IPC分类号： G09B19/04 , G10L15/02 , G10L15/06 , G10L15/14 , G10L15/22 , G10L15/26 , G09B5/00
CPC分类号： G09B19/04 , G10L15/142 , G10L15/26 , G10L15/063 , G10L15/144
摘要： A speech training aid compares a trainee's speech with models of speech, stored as sub-acoustic word models, and a general speech model to give an indication of whether or not the trainee has spoken correctly. An indication of how well the word has been pronounced may also be given. An adult operator enters the word to be tested into the training aid which then forms a model of that word from the stored sub-word speech models. The stored acoustic models are formed by first recording a plurality of words by a plurality of trainees from a given list of single words. These recordings are then processed off-line to give a basic acoustic model of an acceptable or correct sound for each phoneme in the context of the pre-and proceeding phonemes. The acoustic models are Hidden Markov Models. The limits of acceptable pronunciation, applied to different words and trainees, may be adjusted by variable penalty values applied in association with the general speech acoustic model. The training aid generates accumulated word costs for each trainee's utterance and uses these costs to indicate correctness of pronunciation.
摘要翻译：语音训练辅助将实习者的语音与语音模型进行对比，将其作为子声词模型存储，并且将通用语言模型用于指示受训者是否正确地说出来。也可以说明这个词的发音情况。成年操作者将要测试的单词输入训练辅助器，然后从存储的子词语模型中形成该单词的模型。存储的声学模型通过从给定的单个单词列表中的多个学员首先记录多个单词而形成。然后，这些记录离线处理，以便在前和后续音素的上下文中为每个音素提供可接受或正确声音的基本声学模型。声学模型是隐马尔可夫模型。应用于不同词语和受训者的可接受发音的限制可以通过与一般语音模型相关联地应用的可变惩罚值来调整。训练辅助人员为每位学员的发音产生积累的单词成本，并使用这些成本来表明发音的正确性。

2. 发明授权

US5349921A Growing semiconductor crystalline materials 失效
标题翻译：生长半导体结晶材料
公开(公告)号：US5349921A
公开(公告)日：1994-09-27
申请号：US585075
申请日：1990-10-12
申请人： Keith G. Barraclough , Robert W. Series
发明人： Keith G. Barraclough , Robert W. Series
IPC分类号： C30B15/00 , C30B15/30 , C30B15/20
CPC分类号： C30B15/305 , Y10S117/917
摘要： Semiconductor crystalline materials, e.g. silicon, GaAs, are grown from a melt, e.g. using the Czochralski technique where a seed crystal is dipped into the melt then slowly withdrawn. Rotation of the growing crystal (6) is partly responsible for convective flows within the melt (5). Convective flows are reduced while radial uniformity is improved by subjecting the crystal/melt interface to a shaped magnetic field. This magnetic field is rotationally symmetrical about the axis of crystal rotation, with a component of field parallel to this axis that is less than 500 gauss, preferably less than 200 gauss, with a value above 500 gauss at other parts of the melt. The field may be produced by two superconducting magnet coils (21, 22) spaced apart and arranged co-axially with the axis of crystal rotation.
摘要翻译： PCT No.PCT / GB89 / 00220 Sec。 371 1990年10月12日第 102（e）日期1990年10月12日PCT 1989年3月6日PCT公布。出版物WO89 / 08731 日期：1989年9月21日。硅，GaAs从熔体，例如，使用Czochralski技术，其中将晶种浸入熔体中，然后缓慢抽出。生长晶体（6）的旋转部分地导致熔体内的对流（5）。通过使晶体/熔融界面经受成形的磁场，减小对流，同时径向均匀性得到改善。该磁场围绕晶体旋转轴旋转对称，其中与该轴平行的场的分量小于500高斯，优选小于200高斯，在熔体的其它部分具有高于500高斯的值。该场可以由间隔开并与晶体旋转轴同轴设置的两个超导磁体线圈（21,22）产生。

3. 发明授权

US06671666B1 Recognition system 有权
标题翻译：识别系统
公开(公告)号：US06671666B1
公开(公告)日：2003-12-30
申请号：US09381571
申请日：1999-08-24
申请人： Keith M Ponting , Robert W Series , Michael J Tomlinson
发明人： Keith M Ponting , Robert W Series , Michael J Tomlinson
IPC分类号： G10L1520
CPC分类号： G10L15/065 , G10L15/142 , G10L15/20
摘要： A recognition system (10) incorporates a filterbank analyser (16) producing successive data vectors of energy values for twenty-six frequency intervals in a speech signal. A unit (18) compensates for spectral distortion in each vector. Compensated vectors undergo a transformation into feature vectors with twelve dimensions and are matched with hidden Markov model states in a computer (24). Each matched model state has a mean value which is an estimate of the speech feature vector. A match inverter (28) produces an estimate of the speech data vector in frequency space by a pseudo-inverse transformation. It includes information which will be lost in a later transformation to frequency space. The estimated data vector is compared with its associated speech signal data vector, and infinite impulse response filters (44) average their difference with others. Averaged difference vectors so produced are used by the unit (18) in compensation of speech signal data vectors.
摘要翻译：识别系统（10）包括滤波器组分析器（16），其在语音信号中产生二十六个频率间隔的能量值的连续数据向量。单元（18）补偿每个矢量中的频谱失真。补偿矢量经历了具有十二维度的特征向量的变换，并与计算机中的隐马尔可夫模型状态相匹配（24）。每个匹配模型状态具有作为语音特征向量的估计的平均值。匹配反相器（28）通过伪逆变换产生频率空间中的语音数据矢量的估计。它包括将在以后的变换到频率空间中丢失的信息。将估计的数据矢量与其相关联的语音信号数据矢量进行比较，无限脉冲响应滤波器（44）平均与其他数据矢量的差异。如此产生的平均差分矢量由单元（18）用于补偿语音信号数据矢量。

4. 发明授权

US06377918B1 Speech analysis using multiple noise compensation 失效
标题翻译：语音分析采用多重噪声补偿
公开(公告)号：US06377918B1
公开(公告)日：2002-04-23
申请号：US09355847
申请日：1999-08-05
申请人： Robert W Series
发明人： Robert W Series
IPC分类号： G10L2102
CPC分类号： G10L15/065 , G10L15/142 , G10L15/20
摘要： A speech analysis system 10 incorporates a filterbank analyser 18 producing successive frequency data vectors for a speech signal from two speakers. From each data vector, units 22A and 22B produce a set of modified data vectors compensated for differing forms of distortion associated with respective speakers. A computer 24 matches modified data vectors to hidden Markov model states. It identifies the modified data vector in each set exhibiting greatest matching probability, the model state matched therewith, the form of distortion with which it is associated and the model class, ie speech or noise. The matched model state has a mean value providing an estimate of its associated data vector. The estimate is compared with its associated data vector, and their difference is averaged with others associated with a like form of distortion in an infinite impulse response filter bank 48A or 48B to provide compensation for that form of distortion. Averaged difference vectors provide compensation for multiple forms of distortion associated with respective speakers.
摘要翻译：语音分析系统10包括滤波器组分析器18，其产生用于来自两个扬声器的语音信号的连续频率数据矢量。从每个数据向量，单元22A和22B产生一组经修正的数据向量，这些数据向量补偿了与各个扬声器相关联的不同形式的失真。计算机24将修改的数据向量与隐马尔科夫模型状态相匹配。它识别表现出最大匹配概率的每个集合中的修改的数据向量，与其匹配的模型状态，与其相关联的失真的形式和模型类，即语音或噪声。匹配模型状态具有提供其关联数据向量的估计的平均值。将该估计与其相关联的数据向量进行比较，并且将它们的差异与在无限脉冲响应滤波器组48A或48B中与相似形式的失真相关联的其他值进行平均，以提供对该形式的失真的补偿。平均差向量向与相应扬声器相关联的多种形式的失真提供补偿。

5. 发明授权

US5679001A Children's speech training aid 失效
标题翻译：儿童言语训练辅助
公开(公告)号：US5679001A
公开(公告)日：1997-10-21
申请号：US256215
申请日：1994-07-06
申请人： Martin J. Russell , Robert W. Series , Julie L. Wallace
发明人： Martin J. Russell , Robert W. Series , Julie L. Wallace
IPC分类号： G09B19/04 , G10L15/02 , G10L15/06 , G10L15/14 , G10L15/22 , G10L15/26 , G09B5/00
CPC分类号： G09B19/04 , G10L15/142 , G10L15/26 , G10L15/063 , G10L15/144
摘要： A children's speech training aid compares a child's speech with models of speech, stored as sub-word acoustic models, and a general speech model to give an indication of whether or not the child has spoken correctly. An indication of how well the word has been pronounced may also be given. An adult operator enters the word to be tested into the training aid which then forms a model of that word from the stored sub-word speech models. The stored acoustic models are formed by first recording a plurality of words by a plurality of children from a given list of single words. These recordings are then processed off-line to give a basic acoustic model of an acceptable or correct sound for each phoneme in the context of the pre- and proceeding phonemes. The acoustic models are Hidden Markov Models. The limits of acceptable pronunciation applied to different words and children may be adjusted by variable penalty values applied in association with the general speech acoustic model. The training aid generates accumulated word costs for each child's utterance and uses these costs to indicate correctness of pronunciation.
摘要翻译： PCT No.PCT / GB93 / 02251 Sec。 371日期：1994年7月6日 102（e）日期1994年7月6日PCT提交1993年11月2日PCT公布。公开号WO94 / 10666 日期1994年5月11日儿童言语训练援助将儿童的言语与语言模型进行对比，存储为子词语模型，并提供一般通话模型，以指示儿童是否正确说出口语。也可以说明这个词的发音情况。成年操作者将要测试的单词输入训练辅助器，然后从存储的子词语模型中形成该单词的模型。存储的声学模型通过从给定的单个单词列表中的多个孩子首先记录多个单词而形成。然后，这些记录离线处理，以便在前和后音素的上下文中为每个音素提供可接受或正确声音的基本声学模型。声学模型是隐马尔可夫模型。应用于不同词语和儿童的可接受发音的限制可以通过与一般语音模型相关联地应用的可变惩罚值来调整。训练援助会为每个孩子的发音产生积累的单词成本，并使用这些费用来指示发音的正确性。

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