Patents by Inventor Kiyokazu Miki
Kiyokazu Miki has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10719380Abstract: An operation management apparatus that is capable of detecting an anomaly is provided.Type: GrantFiled: December 17, 2015Date of Patent: July 21, 2020Assignee: NEC CORPORATIONInventors: Kiyokazu Miki, Masanao Natsumeda
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Patent number: 10261052Abstract: An anchor bolt diagnosing system includes a vibration sensing clip that clips an anchor bolt, and senses a vibration power of the anchor bolt, a blow sensing hammer that gives a blow to the anchor bolt clipped by the vibration sensing clip, and senses blow strength, and a diagnoser that obtains the vibration power and the blow strength output from the vibration sensing clip and the blow sensing hammer, and diagnoses soundness of the anchor bolt in accordance with whether a ratio of the vibration power to the blow strength is higher than a predetermined value.Type: GrantFiled: December 26, 2014Date of Patent: April 16, 2019Assignee: NEC CORPORATIONInventors: Kiyokazu Miki, Osamu Hoshuyama
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Publication number: 20170351563Abstract: The present invention makes it possible to determine whether there is actually a fault that has occurred in a situation where a specific fault state pertaining to a system to be monitored is continuously detected. An operation management device detects, using the measured value of a performance index pertaining to the system to be monitored and a correlation model representing the relationship between two mutually different performance indices, fault information indicating a fault pertaining to the combination of the two mutually different performance indices. The operation management device holds the detected fault information in chronological order, and determines, on the basis of the fault information, whether the fault information has been detected continuously with respect to a specific combination.Type: ApplicationFiled: December 17, 2015Publication date: December 7, 2017Applicant: NEC CorporationInventors: Kiyokazu MIKI, Masanao NATSUMEDA
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Publication number: 20170138908Abstract: An anchor bolt diagnosing system includes a vibration sensing clip that clips an anchor bolt, and senses a vibration power of the anchor bolt, a blow sensing hammer that gives a blow to the anchor bolt clipped by the vibration sensing clip, and senses blow strength, and a diagnoser that obtains the vibration power and the blow strength output from the vibration sensing clip and the blow sensing hammer, and diagnoses soundness of the anchor bolt in accordance with whether a ratio of the vibration power to the blow strength is higher than a predetermined value.Type: ApplicationFiled: December 26, 2014Publication date: May 18, 2017Applicant: NEC CorporationInventors: Kiyokazu MIKI, Osamu HOSHUYAMA
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Patent number: 9075774Abstract: A perplexity calculation device 500 includes: a weight coefficient calculating part 501 for, with respect to each of a plurality of text constituent words constituting a text, calculating a weight coefficient for correcting a degree of ease of word appearance having a value which becomes larger as a probability of appearance of the text constituent word becomes higher based on a statistical language model showing probabilities of appearance of words, based on word importance representing a degree of importance of the text constituent word; and a perplexity calculating part 502 for calculating perplexity of the statistical language model to the text, based on the calculated weight coefficients and the degrees of ease of word appearance.Type: GrantFiled: April 20, 2011Date of Patent: July 7, 2015Assignee: NEC CORPORATIONInventors: Masahiro Saikou, Kiyokazu Miki
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Patent number: 9043209Abstract: This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.Type: GrantFiled: September 3, 2009Date of Patent: May 26, 2015Assignee: NEC CORPORATIONInventors: Hitoshi Yamamoto, Ken Hanazawa, Kiyokazu Miki
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Patent number: 8793128Abstract: A speech signal processing system that includes a speech input unit for inputting a speech signal; input speech storage unit for storing an input speech signal that is the speech signal inputted through the speech input unit; characteristic estimation unit for referring to the input speech signal stored in the input speech storage unit, and estimating characteristics of an input speech indicated by the input speech signal, the characteristics including an environmental sound included in the input speech signal; reference speech output unit for causing a predetermined speech signal that becomes a reference speech, to output; and characteristic adding unit for adding the characteristics of the input speech estimated by the characteristic estimation unit, in a reference speech signal that is the speech signal caused to output by the reference speech output unit.Type: GrantFiled: February 3, 2012Date of Patent: July 29, 2014Assignee: NEC CorporationInventor: Kiyokazu Miki
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Patent number: 8751226Abstract: A speech processing apparatus 101 includes a recognition feature extracting unit 12 that extracts recognition feature information which is a characteristic of a speech recognition result 15 obtained by performing a speech recognition process on an inputted speech from the speech recognition result 15; a language feature extracting unit 11 that extracts language feature information which is a characteristic of a pre-registered language resource 14 from the language resource 14; and a model learning unit 13 that obtains a verification model 16 by a learning process based on the extracted recognition feature information and language feature information.Type: GrantFiled: June 18, 2007Date of Patent: June 10, 2014Assignee: NEC CorporationInventors: Hitoshi Yamamoto, Kiyokazu Miki
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Publication number: 20140074475Abstract: There is provided a speech recognition result forming apparatus (10) including a recognition result output unit (106) that refers to character string data, which is a speech recognition result, and removes a word string of a recognition error included in the character string data from the character string data and also, when attached word strings are located before and/or after the word string of the recognition error, generates preformatted character string data by removing at least one of the attached word strings from the character string data or replacing at least one of the attached word strings with other data items and outputs the preformatted character string data.Type: ApplicationFiled: November 29, 2011Publication date: March 13, 2014Applicant: NEC CorporationInventors: Tasuku Kitade, Kiyokazu Miki
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Patent number: 8583436Abstract: A word category estimation apparatus (100) includes a word category model (5) which is formed from a probability model having a plurality of kinds of information about a word category as features, and includes information about an entire word category graph as at least one of the features. A word category estimation unit (4) receives the word category graph of a speech recognition hypothesis to be processed, computes scores by referring to the word category model for respective arcs that form the word category graph, and outputs a word category sequence candidate based on the scores.Type: GrantFiled: December 19, 2008Date of Patent: November 12, 2013Assignee: NEC CorporationInventors: Hitoshi Yamamoto, Kiyokazu Miki
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Publication number: 20130110501Abstract: A perplexity calculation device 500 includes: a weight coefficient calculating part 501 for, with respect to each of a plurality of text constituent words constituting a text, calculating a weight coefficient for correcting a degree of ease of word appearance having a value which becomes larger as a probability of appearance of the text constituent word becomes higher based on a statistical language model showing probabilities of appearance of words, based on word importance representing a degree of importance of the text constituent word; and a perplexity calculating part 502 for calculating perplexity of the statistical language model to the text, based on the calculated weight coefficients and the degrees of ease of word appearance.Type: ApplicationFiled: April 20, 2011Publication date: May 2, 2013Applicant: NEC CORPORATIONInventors: Masahiro Saikou, Kiyokazu Miki
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Publication number: 20120271630Abstract: A speech signal processing system that includes a speech input unit for inputting a speech signal; input speech storage unit for storing an input speech signal that is the speech signal inputted through the speech input unit; characteristic estimation unit for referring to the input speech signal stored in the input speech storage unit, and estimating characteristics of an input speech indicated by the input speech signal, the characteristics including an environmental sound included in the input speech signal; reference speech output unit for causing a predetermined speech signal that becomes a reference speech, to output; and characteristic adding unit for adding the characteristics of the input speech estimated by the characteristic estimation unit, in a reference speech signal that is the speech signal caused to output by the reference speech output unit.Type: ApplicationFiled: February 3, 2012Publication date: October 25, 2012Applicant: NEC CorporationInventor: Kiyokazu MIKI
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Publication number: 20110231183Abstract: This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.Type: ApplicationFiled: September 3, 2009Publication date: September 22, 2011Applicant: NEC CORPORATIONInventors: Hitoshi Yamamoto, Ken Hanazawa, Kiyokazu Miki
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Publication number: 20110161072Abstract: A frequency counting unit (15A) counts occurrence frequencies (14B) in input text data (14A) for respective words or word chains contained in the input text data (14A). A context diversity calculation unit (15B) calculates, for the respective words or word chains, diversity indices (14C) each indicating the context diversity of a word or word chain. A frequency correction unit (15C) corrects the occurrence frequencies (14B) of the respective words or word chains based on the diversity indices (14C) of the respective words or word chains. An N-gram language model creation unit (15D) creates an N-gram language model (14E) based on the corrected occurrence frequencies (14D) obtained for the respective words or word chains.Type: ApplicationFiled: August 20, 2009Publication date: June 30, 2011Applicant: NEC CORPORATIONInventors: Makoto Terao, Kiyokazu Miki, Hitoshi Yamamoto
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Publication number: 20110077943Abstract: A first system for generating a language model is a system for generating a language model including: a topic history dependent language model storing unit; a topic history accumulation unit; and a language score calculation unit. In the system for generating the language model, a language score corresponding to history of topics is calculated by the language score calculation unit using history of topics in an utterance accumulated in the topic history accumulation unit and a language model stored in the topic history dependent language model storing unit. The topic history dependent language model storing unit may store a topic history dependent language model dependent on only most recent n topics. The topic history accumulation unit may accumulate only most recent n topics.Type: ApplicationFiled: June 18, 2007Publication date: March 31, 2011Applicant: NEC CORPORATIONInventors: Kiyokazu Miki, Kentaro Nagatomo
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Publication number: 20090204390Abstract: A speech processing apparatus 101 includes a recognition feature extracting unit 12 that extracts recognition feature information which is a characteristic of a speech recognition result 15 obtained by performing a speech recognition process on an inputted speech from the speech recognition result 15; a language feature extracting unit 11 that extracts language feature information which is a characteristic of a pre-registered language resource 14 from the language resource 14; and a model learning unit 13 that obtains a verification model 16 by a learning process based on the extracted recognition feature information and language feature information.Type: ApplicationFiled: June 18, 2007Publication date: August 13, 2009Applicant: NEC CORPORATIONInventors: Hitoshi Yamamoto, Kiyokazu Miki
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Publication number: 20090106023Abstract: A speech recognition word dictionary/language model making system for creating a word dictionary for recognizing a word not appearing in a learning text by selecting a word-generation-model-learning-method-by-word-class according to the word to be added which does not appear in the learning text and for making a language model. The speech recognition word dictionary/language model making system (100) includes a language model estimating device (111) for selecting estimating method information from a learning-method-knowledge-by-word-class storing section (109) for each word class of an addition word generating model which is a word generating model of the addition word according to the selected estimating method information and a database combining device (112) for adding an addition word to a word dictionary (105) and adding an addition word generating model to a word-generation-model-by-word-class database (107).Type: ApplicationFiled: November 30, 2007Publication date: April 23, 2009Inventor: Kiyokazu Miki
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Publication number: 20090006092Abstract: [PROBLEMS] To provide a speech recognition language model making system for making a speech recognition language model so as to recognize a meaningful speech necessary for application of speech recognition, such as a speech in conversation at a call center. [MEANS FOR SOLVING PROBLEMS] A speech recognition language model making system (1) comprises a probability estimating device (11), a language model learning corpus storage device (14), and a learning corpus emphasizing device (12). The learning corpus emphasizing device (12) emphasizes a prescribed part of the learning corpus to create an emphasized learning corpus. The probability estimating device (11) operates to make a speech recognition language model by estimating the probability value of a language model by the emphasized learning corpus.Type: ApplicationFiled: December 26, 2006Publication date: January 1, 2009Inventors: Kiyokazu Miki, Kentarou Nagamoto
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Patent number: 6088672Abstract: In a voice recognition system which seeks a plurality of prospective recognition results with respect to at least two input voices and which select each one prospective recognition result among respective a plurality of prospective recognition results with respect to the two input voices, so that an optimized sequence of recognition results is obtained as a whole, primary and secondary language processing are simultaneously carried out by the use of dynamic programming on a primary prospective recognition result of an input voice preceding an appointed input voice and on a secondary prospective recognition result of another input voice following the appointed input voice, respectively, a cumulative score of an optimized path is calculated on each of appointed prospective recognition results with reference to results of the primary and the secondary language processing to sort the appointed prospective recognition results of the appointed voice in optimized order.Type: GrantFiled: August 10, 1998Date of Patent: July 11, 2000Assignee: NEC CorporationInventor: Kiyokazu Miki