-
公开(公告)号：US20220198783A1
公开(公告)日：2022-06-23
申请号：US17608201
申请日：2019-05-29
Applicant: NEC Corporation
Inventor： Shuhei YOSHIDA , Makoto TERAO
IPC: G06V10/776 , G06V10/62 , G06T7/20 , G06V10/774 , G06V20/40
Abstract: The learning device 10D is learned to extract moving image feature amount Fm which is feature amount relating to the moving image data Dm when the moving image data Dm is inputted thereto, and is learned to extract still image feature amount Fs which is feature amount relating to the still image data Ds when the still image data Ds is inputted thereto. The first inference unit 32D performs a first inference regarding the moving image data Dm based on the moving image feature amount Fm. The second inference unit 34D performs a second inference regarding the still image data Ds based on the still image feature amount Fs. The learning unit 36D performs learning of the feature extraction unit 31D based on the results of the first inference and the second inference.
-
公开(公告)号：US20160275968A1
公开(公告)日：2016-09-22
申请号：US15030114
申请日：2014-05-08
Applicant: NEC CORPORATION
Inventor： Makoto TERAO , Masanori TSUJIKAWA
CPC classification number: G10L25/84 , G10L15/02 , G10L15/063 , G10L15/18 , G10L25/03 , G10L25/21 , G10L2015/025
Abstract: A speech detection device according to the present invention acquires an acoustic signal, calculates a feature value representing a spectrum shape for a plurality of first frames from the acoustic signal, calculates a ratio of a likelihood of a voice model to a likelihood of a non-voice model for the first frames using the feature value, determines a candidate target voice section that is a section including target voice by use of the likelihood ratio, calculates a posterior probability of a plurality of phonemes using the feature value, calculates at least one of entropy and time difference of posterior probabilities of the plurality of phonemes for the first frames, and specifies a section as changed to a section not including the target voice, out of the candidate target voice sections, by use of at least one of the entropy and the time difference of the posterior probabilities.
Abstract translation: 根据本发明的语音检测装置获取声信号，从声信号计算表示多个第一帧的频谱形状的特征值，计算语音模型的可能性与非声音的可能性的比率， 使用特征值的第一帧的语音模型，通过使用似然比确定作为包括目标语音的部分的候选目标语音部分，使用特征值计算多个音素的后验概率，计算以下各项中的至少一个： 对于第一帧的多个音素的后验概率的熵和时间差，并且通过使用熵和熵中的至少一个来将候选目标语音部分中的不包括目标语音的部分的部分指定为 后验概率的时差。
-
公开(公告)号：US20220335712A1
公开(公告)日：2022-10-20
申请号：US17641875
申请日：2019-09-27
Applicant: NEC Corporation
Inventor： Shuhei YOSHIDA , Makoto TERAO
IPC: G06V10/778 , G06V10/776
Abstract: The dataset supply unit supplies a learning dataset. The recognition unit outputs the recognition result for the recognition object data in the supplied learning dataset. Further, the intersection matrix computation unit computes the intersection matrix based on the learning dataset. The recognition loss computation unit computes the recognition loss using the recognition result, the intersection matrix, and the correct answer data given to the recognition object data. Then, the updating unit updates the parameters of the recognition unit based on the recognition loss.
-
公开(公告)号：US20150310877A1
公开(公告)日：2015-10-29
申请号：US14438953
申请日：2013-08-21
Applicant: Yoshifumi ONISHI , Makoto TERAO , Masahiro TANI , Koji OKABE , NEC Corporation
Inventor： Yoshifumi ONISHI , Makoto TERAO , Masahiro TANI , Koji OKABE
CPC classification number: G10L25/48 , G10L17/00 , G10L21/0272 , G10L25/63 , H04M3/51 , H04M2201/40 , H04M2203/2038
Abstract: This conversation analysis device comprises: a change detection unit that detects, for each of a plurality of conversation participants, each of a plurality of prescribed change patterns for emotional states, on the basis of data corresponding to voices in a target conversation; an identification unit that identifies, from among the plurality of prescribed change patterns detected by the change detection unit, a beginning combination and an ending combination, which are prescribed combinations of the prescribed change patterns that satisfy prescribed position conditions between the plurality of conversation participants; and an interval determination unit that determines specific emotional intervals, which have a start time and an end time and represent specific emotions of the conversation participants of the target conversation, by determining a start time and an end time on the basis of each time position in the target conversation pertaining to the starting combination and ending combination identified by the identification unit.
Abstract translation: 该对话分析装置包括：变更检测单元，根据对应于目标会话中的语音的数据，针对多个对话参与者中的每一个，检测用于情感状态的多个规定变化模式中的每一个; 识别单元，其从所述变化检测单元检测到的所述多个规定变化模式中识别作为所述多个对话参与者之间满足规定位置条件的规定变化模式的规定组合的开始组合和结束组合; 以及间隔确定单元，其通过基于每个时间位置确定开始时间和结束时间来确定具有开始时间和结束时间并且表示目标会话的对话参与者的特定情绪的特定情绪间隔 关于由识别单元识别的起始组合和结束组合的目标会话。
-
公开(公告)号：US20200342215A1
公开(公告)日：2020-10-29
申请号：US16767767
申请日：2018-12-05
Applicant: NEC Corporation
Inventor： Makoto TERAO
Abstract: A model learning device provided with: an error-added movement locus generation unit for adding an error to movement locus data for action learning that represents the movement locus of a subject and to which is assigned an action label that is information representing the action of the subject, and thereby generating error-added movement locus data; and an action recognition model learning unit for learning a model, using at least the error-added movement locus data and learning data created on the basis of the action label, by which model the action of some subject can be recognized from the movement locus of the subject. Thus, it is possible to provide a model by which the action of a subject can be recognized with high accuracy on the basis of the movement locus of the subject estimated using a camera image.
-
Patent Agency Ranking
6.发明申请公开(公告)号：US20160203121A1
公开(公告)日：2016-07-14
申请号：US14909187
申请日：2014-03-27
Applicant: NEC CORPORATION
Inventor： Koji OKABE , Yoshifumi ONISHI , Makoto TERAO , Masahiro TANI
CPC classification number: G06F17/279 , G06F17/271 , G06Q10/00 , G10L15/00 , G10L15/30 , G10L25/27 , G10L25/63 , H04M3/51 , H04M2201/40
Abstract: An analysis subject determination device includes: a demand period detection unit which detects, from data corresponding to audio of a dissatisfaction conversation, a demand utterance period which represents a demand utterance of a first conversation party among a plurality of conversation parties which are carrying out the dissatisfaction conversation; a negation period detection unit which detects, from the data, a negation utterance period which represents a negation utterance of a second conversation party which differs from the first conversation party; and a subject determination unit which, from the data, determines a period with a time obtained from the demand period utterance period as a start point and a time obtained from the negation utterance period after the demand utterance period as an end point to be an analysis subject period of a cause of dissatisfaction of the first conversation party in the dissatisfaction conversation.
Abstract translation: 分析对象确定装置包括：请求期间检测单元，其从对应于不满意对话的音频的数据中检测表示正在执行的多个对话方中的第一对话方的请求话语的需求话语周期 不满交谈 否定周期检测单元，从数据检测表示与第一对话方不同的第二对话方的否定话语的否定发声周期; 以及被摄体确定单元，其从数据中确定具有从需求周期发声周期获得的时间作为开始点的时间段和从作为需求发声周期之后的否定发声周期获得的时间作为分析 在不满对话中第一对话方不满意的时期。
-
公开(公告)号：US20250086996A1
公开(公告)日：2025-03-13
申请号：US18723909
申请日：2022-03-02
Applicant: NEC Corporation
Inventor： Ryoma OUCHI , Makoto TERAO , Shuhei YOSHIDA
IPC: G06V20/70 , G06V10/764 , G06V10/774 , G06V40/20
Abstract: In order to solve a problem of making it possible to provide a technique by which assigning a pseudo label is possible regardless of the presence or absence of class-labeled data, an information processing apparatus 1 includes: an inferring means (11) for inferring a class regarding data pieces which constitute time-series data; a calculating means (12) for calculating a degree of agreement among results of inference made by the inferring means regarding a plurality of data pieces contained in a section which is temporally continuous; and a pseudo label assigning means (13) for assigning a pseudo label based on the results of inference in the section, to at least one of the plurality of data pieces in the section, according to the degree of agreement.
-
公开(公告)号：US20230177389A1
公开(公告)日：2023-06-08
申请号：US17801554
申请日：2020-03-13
Applicant: NEC Corporation
Inventor： Shuhei YOSHIDA , Makoto TERAO
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A recognition loss calculation unit of a learning device calculates a recognition loss using: a recognition result with respect to recognition object data in a learning data set that is a set of a pair of the recognition object data and a weak label; a mixing matrix calculated based on the learning data set; and the weak label attached to the recognition object data. The recognition loss calculation unit includes: a difference calculation unit that calculates a difference between a mixing matrix and the recognition result; and a sum of squares calculation unit that calculates the recognition loss by calculating a sum of a square of the difference.
-
9.发明申请公开(公告)号：US20220254136A1
公开(公告)日：2022-08-11
申请号：US17587065
申请日：2022-01-28
Applicant: NEC Corporation
Inventor： Tomokazu KANEKO , Katsuhiko TAKAHASHI , Makoto TERAO , Soma SHIRAISHI , Takami SATO , Yu NABETO , Ryosuke SAKAI
Abstract: An image acquisition unit 110 acquires a plurality of images. The plurality of images include an object to be inferred. An image cut-out unit 120 cuts out an object region including the object from each of the plurality of images acquired by the image acquisition unit 110. An importance generation unit 130 generates importance information by processing the object region cut out by the image cut-out unit 120. The importance information indicates the importance of the object region when an object inference model is generated, and is generated for each object region, that is, for each image acquired by the image acquisition unit 110. A learning data generation unit 140 stores a plurality of object regions cut out by the image cut-out unit 120 and a plurality of pieces of importance information generated by the importance generation unit 130 in a learning data storage unit 150 as at least a part of the learning data.
-
公开(公告)号：US20170364854A1
公开(公告)日：2017-12-21
申请号：US15532778
申请日：2015-12-02
Applicant: NEC Corporation
Inventor： Terumi UMEMATSU , Ryosuke ISOTANI , Yoshifumi OMISHI , Masanori TSUJIKAWA , Makoto TERAO , Tasuku KITADE , Shuji KOMEIJI
CPC classification number: G06Q10/06398 , G06Q10/00 , G06Q30/01 , G06Q30/016 , G06Q30/02 , G06Q30/06
Abstract: The purpose of the present invention is to provide a technology which is capable of appropriately evaluating a person's conduct with respect to another person. Provided is an information processing device, comprising a recognition unit 11, a detection unit 12, and an evaluation unit 13. The recognition unit 11 recognizes an evaluation subject's conduct. The detection unit 12 detects a trigger which is a state of a person other than the evaluation subject which triggers the evaluation subject's conduct. Using the detected trigger and the result of recognition by the recognition unit 13 relating to the evaluation subject's conduct, the evaluation unit 13 evaluates the evaluation subject's conduct.
-
-
-
-
-
-
-
-
-
Search Results
11
records
(took 0.015 seconds)
