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    LEARNING DEVICE, LEARNING METHOD, AND PROGRAM
    1.
    发明公开
    LEARNING DEVICE, LEARNING METHOD, AND PROGRAM 审中-公开

    公开(公告)号：US20240342901A1

    公开(公告)日：2024-10-17

    申请号：US18681878

    申请日：2022-08-01

    Applicant: HONDA MOTOR CO., LTD.

    Inventor： Randy Gomez

    IPC: B25J9/16 ,  B25J11/00 ,  G06V40/10 ,  G06V40/20

    CPC classification number: B25J9/163 ,  B25J9/1653 ,  B25J9/1689 ,  B25J11/0005 ,  G06V40/10 ,  G06V40/20

    Abstract: A learning device includes: an acquisition unit configured to acquire a recognition result by recognizing intention indication information of a user who uses a communication robot; a presentation unit configured to select a plurality of action sets corresponding to the recognition result on the basis of the acquired recognition result and to present the selected plurality of action sets to a remote operator who remotely operates the communication robot from a remote location; an operation result detecting unit configured to detect a selection state of the remote operator for the presented plurality of action sets; and a learning unit configured to determine a reward in learning on the basis of the detected selection state of the remote operator and to learn a response to the user's action.

    Speech processing device, speech processing method, and speech processing program
    5.
    发明授权
    Speech processing device, speech processing method, and speech processing program 有权
    语音处理装置，语音处理方法和语音处理程序

    公开(公告)号：US09208782B2

    公开(公告)日：2015-12-08

    申请号：US14265612

    申请日：2014-04-30

    Applicant: HONDA MOTOR CO., LTD.

    Inventor： Kazuhiro Nakadai ,  Keisuke Nakamura ,  Randy Gomez

    IPC: G10L15/20 ,  G10L15/00 ,  G10L21/0208

    CPC classification number: G10L15/20 ,  G10L2021/02082

    Abstract: A speech processing device includes a reverberation characteristic selection unit configured to correlate correction data indicating a contribution of a reverberation component based on a corresponding reverberation characteristic with an adaptive acoustic model which is trained using reverbed speech to which a reverberation based on the corresponding reverberation characteristic is added for each of reverberation characteristics, to calculate likelihoods based on the adaptive acoustic models for a recorded speech, and to select correction data corresponding to the adaptive acoustic model having the calculated highest likelihood, and a dereverberation unit configured to remove the reverberation component from the speech based on the correction data.

    Abstract translation: 语音处理装置包括：混响特性选择单元，被配置为将表示基于相应混响特性的混响分量的贡献的校正数据与使用被混响的语音进行训练的自适应声学模型相关联，基于相应的混响特性的混响是 根据混响特性中的每一个来增加，以计算基于记录语音的自适应声学模型的似然性，以及选择与具有计算出的最高似然度的自适应声学模型相对应的校正数据;以及解混响单元，被配置为从该混响分量中去除混响分量 基于校正数据的语音。

    Speech processing apparatus, method, and program of reducing reverberation of speech signals
    7.
    发明授权
    Speech processing apparatus, method, and program of reducing reverberation of speech signals 有权
    减少语音信号混响的语音处理装置，方法和程序

    公开(公告)号：US09478230B2

    公开(公告)日：2016-10-25

    申请号：US14495012

    申请日：2014-09-24

    Applicant: HONDA MOTOR CO., LTD.

    Inventor： Randy Gomez ,  Kazuhiro Nakadai ,  Keisuke Nakamura

    IPC: G10L21/0208 ,  G10L15/20 ,  G10L21/0216

    CPC classification number: G10L21/0208 ,  G10L15/20 ,  G10L2021/02082 ,  G10L2021/02166

    Abstract: A speech processing apparatus that collects sound signals. With each of the collected sound signals, the apparatus may estimate a direction of a sound source, and select an extension filter that is applied to each sound signal. The extension filter may correspond to the estimated sound source of each of the sound signals. In addition, each of the sound signals may be corrected using the extension filter, and a reverberation reduction of the corrected sound signals and the collected sound signals may be performed.

    Abstract translation: 收集声音信号的语音处理装置。 利用每个收集的声音信号，设备可以估计声源的方向，并且选择应用于每个声音信号的扩展滤波器。 扩展滤波器可以对应于每个声音信号的估计声源。 此外，可以使用扩展滤波器来校正每个声音信号，并且可以执行校正的声音信号和所收集的声音信号的混响减少。

    SPEECH PROCESSING DEVICE, SPEECH PROCESSING METHOD, AND SPEECH PROCESSING SYSTEM
    8.
    发明申请
    SPEECH PROCESSING DEVICE, SPEECH PROCESSING METHOD, AND SPEECH PROCESSING SYSTEM 有权
    语音处理设备，语音处理方法和语音处理系统

    公开(公告)号：US20160203828A1

    公开(公告)日：2016-07-14

    申请号：US14990888

    申请日：2016-01-08

    Applicant: HONDA MOTOR CO., LTD.

    Inventor： Randy Gomez ,  Kazuhiro Nakadai

    IPC: G10L21/0208 ,  G10L15/06

    CPC classification number: G10L15/20 ,  G10L15/02 ,  G10L2015/227 ,  G10L2021/02082

    Abstract: A speech processing device includes a sound source localization unit configured to determine a sound source position from acquired speech, a reverberation suppression unit configured to suppress a reverberation component of the speech to generate dereverberated speech, a feature quantity calculation unit configured to calculate a feature quantity of the dereverberated speech, a feature quantity adjustment unit configured to multiply the feature quantity by an adjustment factor corresponding to the sound source position to calculate an adjusted feature quantity, and a speech recognition unit configured to perform speech recognition using the adjusted feature quantity.

    Abstract translation: 一种语音处理装置，包括：声源定位单元，被配置为从获取的语音确定声源位置;混响抑制单元，被配置为抑制所述语音的混响分量以产生非反相语音;特征量计算单元，被配置为计算特征量 所述特征量调整单元被配置为将所述特征量乘以与所述声源位置相对应的调整因子，以计算调整后的特征量;以及语音识别单元，被配置为使用所述调整后的特征量进行语音识别。

    DIALOG UNDERSTANDING DEVICE AND DIALOG UNDERSTANDING METHOD
    10.
    发明公开
    DIALOG UNDERSTANDING DEVICE AND DIALOG UNDERSTANDING METHOD 审中-公开

    公开(公告)号：US20240282297A1

    公开(公告)日：2024-08-22

    申请号：US18442239

    申请日：2024-02-15

    Applicant: HONDA MOTOR CO., LTD.

    Inventor： Randy Gomez ,  Eric Nichols

    IPC: G10L15/18 ,  G10L15/06 ,  G10L15/08 ,  G10L15/183 ,  G10L15/22

    CPC classification number: G10L15/1815 ,  G10L15/063 ,  G10L15/183 ,  G10L15/22 ,  G10L2015/088

    Abstract: A dialog understanding device includes a sound collection module configured to collect a sound signal, a contextual processing module, and a dialog system configured to perform a dialog with a human. The contextual processing module includes a plurality of layers for processing information obtained from the sound collection module. A fallback processing module of a case where a predetermined process has not succeeded for the collected sound signal is provided on each layer of the plurality of layers. A process of the next layer is performed after a fallback corresponding to a fallback process performed by the fallback processing module is performed. A sound signal obtained when the contextual processing module completes a process is input to the dialog system.

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