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1. 发明授权

US09601110B2 Unsupervised training method for an N-gram language model based upon recognition reliability 有权
公开(公告)号：US09601110B2
公开(公告)日：2017-03-21
申请号：US14748597
申请日：2015-06-24
申请人： International Business Machines Corporation
发明人： Nobuyasu Itoh , Gakuto Kurata , Masafumi Nishimura
IPC分类号： G10L15/06 , G10L15/183 , G10L15/197 , G10L15/18
CPC分类号： G10L15/063 , G10L15/18 , G10L15/197 , G10L15/30 , G10L2015/0635
摘要： A computer-based, unsupervised training method for an N-gram language model includes reading, by a computer, recognition results obtained as a result of speech recognition of speech data; acquiring, by the computer, a reliability for each of the read recognition results; referring, by the computer, to the recognition result and the acquired reliability to select an N-gram entry; and training, by the computer, the N-gram language model about selected one of more of the N-gram entries using all recognition results.

2. 发明申请

US20140358533A1 PRONUNCIATION ACCURACY IN SPEECH RECOGNITION 有权
标题翻译：语音识别中的发音准确度
公开(公告)号：US20140358533A1
公开(公告)日：2014-12-04
申请号：US14251786
申请日：2014-04-14
申请人： International Business Machines Corporation
发明人： Gakuto Kurata , Masafumi Nishimura , Ryuki Tachibana
IPC分类号： G10L15/00
CPC分类号： G10L15/197 , G10L15/01 , G10L15/08 , G10L15/187
摘要： A reading accuracy-improving system includes: a reading conversion unit for retrieving a plurality of candidate word strings from speech recognition results to determine the reading of each candidate word string; a reading score calculating unit for determining the speech recognition score for each of one or more candidate word strings with the same reading to determine a reading score; and a candidate word string selection unit for selecting a candidate to output from the plurality of candidate word strings on the basis of the reading score and speech recognition score corresponding to each candidate word string.
摘要翻译：读取精度提高系统包括：读取转换单元，用于从语音识别结果检索多个候选词串，以确定每个候选词串的读取; 读取分数计算单元，用于确定具有相同读数的一个或多个候选词串中的每一个的语音识别分数以确定阅读得分; 以及候选字串选择单元，用于根据与每个候选字串对应的阅读得分和语音识别得分来选择从多个候选字串输出的候选。

3. 发明授权

US10418029B2 Method of selecting training text for language model, and method of training language model using the training text, and computer and computer program for executing the methods 有权
公开(公告)号：US10418029B2
公开(公告)日：2019-09-17
申请号：US15827655
申请日：2017-11-30
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Nobuyasu Itoh , Gakuto Kurata , Masafumi Nishimura
IPC分类号： G06F17/27 , G10L15/06 , G10L15/065 , G10L15/197 , G10L15/26
摘要： Method of selecting training text for language model, and method of training language model using the training text, and computer and computer program for executing the methods. The present invention provides for selecting training text for a language model that includes: generating a template for selecting training text from a corpus in a first domain according to generation techniques of: (i) replacing one or more words in a word string selected from the corpus in the first domain with a special symbol representing any word or word string, and adopting the word string after replacement as a template for selecting the training text; and/or (ii) adopting the word string selected from the corpus in the first domain as the template for selecting the training text; and selecting text covered by the template as the training text from a corpus in a second domain different from the first domain.

4. 发明申请

US20170025118A1 UNSUPERVISED TRAINING METHOD, TRAINING APPARATUS, AND TRAINING PROGRAM FOR AN N-GRAM LANGUAGE MODEL BASED UPON RECOGNITION RELIABILITY 有权
标题翻译：基于识别可靠性的N-GRAM语言模型的不确定的培训方法，培训设备和培训计划
公开(公告)号：US20170025118A1
公开(公告)日：2017-01-26
申请号：US15286747
申请日：2016-10-06
申请人： International Business Machines Corporation
发明人： Nobuyasu Itoh , Gakuto Kurata , Masafumi Nishimura
IPC分类号： G10L15/06 , G10L15/30 , G10L15/197
CPC分类号： G10L15/063 , G10L15/18 , G10L15/197 , G10L15/30 , G10L2015/0635
摘要： A computer-based, unsupervised training method for an N-gram language model includes reading, by a computer, recognition results obtained as a result of speech recognition of speech data; acquiring, by the computer, a reliability for each of the read recognition results; referring, by the computer, to the recognition result and the acquired reliability to select an N-gram entry; and training, by the computer, the N-gram language model about selected one of more of the N-gram entries using all recognition results.
摘要翻译：用于N语言语言模型的基于计算机的无监督训练方法包括由计算机读取作为语音数据的语音识别结果获得的识别结果; 由计算机获取每个读取的识别结果的可靠性; 通过计算机参考识别结果和获得的可靠性来选择N-gram条目; 并通过计算机对使用所有识别结果的N-gram条目中选择的一个更多的N-gram条目进行N-gram语言模型的训练。

5. 发明申请

US20150302848A1 SPEECH RETRIEVAL METHOD, SPEECH RETRIEVAL APPARATUS, AND PROGRAM FOR SPEECH RETRIEVAL APPARATUS 有权
公开(公告)号：US20150302848A1
公开(公告)日：2015-10-22
申请号：US14692105
申请日：2015-04-21
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Gakuto Kurata , Tohru Nagano , Masafumi Nishimura
IPC分类号： G10L15/02
CPC分类号： G10L15/02 , G10L15/04 , G10L15/08 , G10L15/187 , G10L25/51 , G10L2015/025 , G10L2015/027 , G10L2015/088
摘要： A method for speech retrieval includes acquiring a keyword designated by a character string, and a phoneme string or a syllable string, detecting one or more coinciding segments by comparing a character string that is a recognition result of word speech recognition with words as recognition units performed for speech data to be retrieved and the character string of the keyword, calculating an evaluation value of each of the one or more segments by using the phoneme string or the syllable string of the keyword to evaluate a phoneme string or a syllable string that is recognized in each of the detected one or more segments and that is a recognition result of phoneme speech recognition with phonemes or syllables as recognition units performed for the speech data, and outputting a segment in which the calculated evaluation value exceeds a predetermined threshold.

6. 发明授权

US09165553B2 Information processing device, large vocabulary continuous speech recognition method and program including hypothesis ranking 有权
标题翻译：信息处理设备，大词汇连续语音识别方法和程序包括假设排名
公开(公告)号：US09165553B2
公开(公告)日：2015-10-20
申请号：US13744963
申请日：2013-01-18
申请人： International Business Machines Corporation
发明人： Gakuto Kurata , Masayuki Suzuki , Masafumi Nishimura
IPC分类号： G10L15/04 , G10L15/10 , G10L15/02
CPC分类号： G10L15/04 , G10L15/10 , G10L2015/025
摘要： System and method for performing speech recognition using acoustic invariant structure for large vocabulary continuous speech. An information processing device receives sound as input and performs speech recognition. The information processing device includes: a speech recognition processing unit for outputting a speech recognition score, a structure score calculation unit for calculation of a structure score that is a score that, with respect for each hypothesis concerning all phoneme pairs comprising the hypothesis, is found by applying phoneme pair-by-pair weighting to phoneme pair inter-distribution distance likelihood and then performing summation, and a ranking unit for ranking the multiple hypotheses based on a sum value of speech recognition score and structure score.
摘要翻译：用于大词汇连续语音的声学不变结构执行语音识别的系统和方法。信息处理装置接收声音作为输入并执行语音识别。信息处理装置包括：语音识别处理单元，用于输出语音识别分数;结构分数计算单元，用于计算结构分数，该结构分数是关于涉及包含该假设的所有音素对的每个假设的分数通过对音素对对分配距离可能性应用音节对对加权，然后执行求和，以及基于语音识别得分和结构得分的和值对多个假设进行排名的排序单元。

7. 发明申请

US20150051899A1 CORRECTING N-GRAM PROBABILITIES BY PAGE VIEW INFORMATION 有权
公开(公告)号：US20150051899A1
公开(公告)日：2015-02-19
申请号：US13965492
申请日：2013-08-13
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Nathan M. Bodenstab , Nobuyasu Itoh , Gakuto Kurata , Masafumi Nishimura , Paul J. Vozila
IPC分类号： G06F17/27
CPC分类号： G06F17/27
摘要： Methods and a system for calculating N-gram probabilities in a language model. A method includes counting N-grams in each page of a plurality of pages or in each document of a plurality of documents to obtain respective N-gram counts therefor. The method further includes applying weights to the respective N-gram counts based on at least one of view counts and rankings to obtain weighted respective N-gram counts. The view counts and the rankings are determined with respect to the plurality of pages or the plurality of documents. The method also includes merging the weighted respective N-gram counts to obtain merged weighted respective N-gram counts for the plurality of pages or the plurality of documents. The method additionally includes calculating a respective probability for each of the N-grams based on the merged weighted respective N-gram counts.

8. 发明申请

US20160275940A1 SPEECH RETRIEVAL METHOD, SPEECH RETRIEVAL APPARATUS, AND PROGRAM FOR SPEECH RETRIEVAL APPARATUS 有权
公开(公告)号：US20160275940A1
公开(公告)日：2016-09-22
申请号：US15167683
申请日：2016-05-27
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Gakuto Kurata , Tohru Nagano , Masafumi Nishimura
IPC分类号： G10L15/02 , G10L15/04 , G10L15/08 , G10L25/51
CPC分类号： G10L15/02 , G10L15/04 , G10L15/08 , G10L15/187 , G10L25/51 , G10L2015/025 , G10L2015/027 , G10L2015/088
摘要： A method for speech retrieval includes acquiring a keyword designated by a character string, and a phoneme string or a syllable string, detecting one or more coinciding segments by comparing a character string that is a recognition result of word speech recognition with words as recognition units performed for speech data to be retrieved and the character string of the keyword, calculating an evaluation value of each of the one or more segments by using the phoneme string or the syllable string of the keyword to evaluate a phoneme string or a syllable string that is recognized in each of the detected one or more segments and that is a recognition result of phoneme speech recognition with phonemes or syllables as recognition units performed for the speech data, and outputting a segment in which the calculated evaluation value exceeds a predetermined threshold.

9. 发明授权

US09384730B2 Pronunciation accuracy in speech recognition 有权
标题翻译：语音识别中的发音准确度
公开(公告)号：US09384730B2
公开(公告)日：2016-07-05
申请号：US14251786
申请日：2014-04-14
申请人： International Business Machines Corporation
发明人： Gakuto Kurata , Masafumi Nishimura , Ryuki Tachibana
IPC分类号： G10L15/08 , G10L15/00 , G10L15/18 , G10L15/04 , G10L15/187
CPC分类号： G10L15/197 , G10L15/01 , G10L15/08 , G10L15/187
摘要： A reading accuracy-improving system includes: a reading conversion unit for retrieving a plurality of candidate word strings from speech recognition results to determine the reading of each candidate word string; a reading score calculating unit for determining the speech recognition score for each of one or more candidate word strings with the same reading to determine a reading score; and a candidate word string selection unit for selecting a candidate to output from the plurality of candidate word strings on the basis of the reading score and speech recognition score corresponding to each candidate word string.
摘要翻译：读取精度提高系统包括：读取转换单元，用于从语音识别结果检索多个候选词串，以确定每个候选词串的读取; 读取分数计算单元，用于确定具有相同读数的一个或多个候选词串中的每一个的语音识别分数以确定阅读得分; 以及候选字串选择单元，用于根据与每个候选字串对应的阅读得分和语音识别得分来选择从多个候选字串输出的候选。

10. 发明授权

US09002843B2 System and method for extraction of off-topic part from conversation 有权
标题翻译：脱离话题部分提取的系统和方法
公开(公告)号：US09002843B2
公开(公告)日：2015-04-07
申请号：US13740473
申请日：2013-01-14
申请人： International Business Machines Corporation
发明人： Nobuyasu Itoh , Masafumi Nishimura , Yuto Yamaguchi
IPC分类号： G06F7/00 , G06F17/30 , G06F17/27
CPC分类号： G06F17/3053 , G06F17/2785 , Y10S707/99933
摘要： A system and method extract off-topic parts from a conversation. The system includes a first corpus including documents of a plurality of fields; a second corpus including only documents of a field to which the conversation belongs; a determination means for determination as a lower limit subject word a word for which IDF value for the first corpus and IDF value for the second corpus are each below a first certain threshold value; a score calculation part for calculation as a score a TF-IDF value for each word included in the second corpus; a clipping part, for sequential cutting out of intervals from text data that are contents of the conversation; and an extraction part for extraction as an off-topic part an interval where average value of the score of words included in the clipped interval is larger than a second certain threshold value.
摘要翻译：系统和方法从对话中提取脱离主题的部分。该系统包括包括多个字段的文档的第一语料库; 第二语料库仅包括会话所属领域的文件; 确定装置，用于将第一语料库的IDF值和第二语料库的IDF值分别低于第一特定阈值的单词确定为下限主题词; 分数计算部分，用于计算包括在第二语料库中的每个单词的分数TF-IDF值; 剪辑部分，用于从作为对话的内容的文本数据中间隔切换; 以及提取部分，用于作为偏离主题部分提取包括在剪切间隔中的单词的分数的平均值大于第二特定阈值的间隔。

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