公开(公告)号：US10818296B2

公开(公告)日：2020-10-27

申请号：US16014356

申请日：2018-06-21

Applicant: Intel Corporation

Inventor： Jonathan J. Huang ,  Tobias Bocklet

IPC: G10L17/00 ,  G10L17/24 ,  G10L17/22 ,  G10L17/04 ,  G10L17/10

Abstract: Techniques related to a method and system of robust speaker recognition activation are described herein. Such techniques apply keyphrase detection and speaker recognition to a subsequent phrase after detecting a waking keyphrase.

公开(公告)号：US10380256B2

公开(公告)日：2019-08-13

申请号：US14866889

申请日：2015-09-26

Applicant: Intel Corporation

Inventor： Lama Nachman ,  Ashwini Asokan ,  Giuseppe Raffa ,  Rita H. Wouhaybi ,  Saurav Sahay ,  Omar U. Florez ,  Rahul C. Shah ,  Chieh-Yih Wan ,  Jonathan J. Huang ,  Hong Lu ,  Sangita Sharma ,  Junaith Ahemed Shahabdeen ,  Douglas P. Bogia ,  Lenitra Durham

IPC: G06F17/27 ,  G06N5/02 ,  G06F16/9535

Abstract: Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.

公开(公告)号：US10357199B2

公开(公告)日：2019-07-23

申请号：US15473970

申请日：2017-03-30

Applicant: Intel Corporation

Inventor： Lama Nachman ,  Rita H. Wouhaybi ,  Sangita Ravi Sharma ,  Jonathan J. Huang ,  Jennifer Anne Healey ,  Lenitra M. Durham ,  Chieh-Yih Wan ,  Omar Ulises Florez Choque

IPC: A61B5/00 ,  A61B5/08 ,  A61B5/11 ,  A61B5/16 ,  A61B5/024 ,  A61B5/053 ,  A61B5/0205 ,  A61B5/0476

Abstract: In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.

公开(公告)号：US20190043507A1

公开(公告)日：2019-02-07

申请号：US16014356

申请日：2018-06-21

Applicant: Intel Corporation

Inventor： Jonathan J. Huang ,  Tobias Bocklet

IPC: G10L17/00 ,  G10L17/24 ,  G10L17/04

Abstract: Techniques related to a method and system of robust speaker recognition activation are described herein. Such techniques apply keyphrase detection and speaker recognition to a subsequent phrase after detecting a waking keyphrase.

公开(公告)号：US20180366124A1

公开(公告)日：2018-12-20

申请号：US15626828

申请日：2017-06-19

Applicant: INTEL CORPORATION

Inventor： Gokcen Cilingir ,  Jonathan J. Huang ,  Narayan Biswal ,  Mandar S. Joshi

IPC: G10L17/04 ,  G10L17/22 ,  G10L17/06 ,  G10L15/02 ,  G10L25/60

CPC classification number: G10L17/04 ,  G10L15/02 ,  G10L17/06 ,  G10L17/10 ,  G10L17/22 ,  G10L25/60 ,  G10L2015/025

Abstract: Techniques are provided for training of a text independent (TI) speaker recognition (SR) model. A methodology implementing the techniques according to an embodiment includes measuring context data associated with collected TI speech utterances from a user and identifying the user based on received identity measurements. The method further includes performing a speech quality analysis and a speaker state analysis based on the utterances, and evaluating a training merit value of the utterances, based on the speech quality analysis and the speaker state analysis. If the training merit value exceeds a threshold value, the utterances are stored as training data in a training database. The database is indexed by the user identity and the context data. The method further includes determining whether the stored training data has achieved a sufficiency level for enrollment of a TI SR model, and training the TI SR model for the identified user and context.

公开(公告)号：US20180075336A1

公开(公告)日：2018-03-15

申请号：US15263581

申请日：2016-09-13

Applicant: Intel Corporation

Inventor： Freddie H. Huang ,  Omar U. Florez ,  Jonathan J. Huang ,  Yen-Kuang Chen

IPC: G06N3/04 ,  G06N3/08

CPC classification number: G06N3/0454

Abstract: A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of outputs of different sizes, changing the size of each of the outputs to a selected uniform size, reshaping each of the outputs to a vector, and fully connecting the vectors.

公开(公告)号：US09513866B2

公开(公告)日：2016-12-06

申请号：US14583264

申请日：2014-12-26

Applicant: Intel Corporation

Inventor： Mei Lu ,  Jonathan J. Huang ,  Stephen E. Rich ,  Noah Fishel

IPC: H04R1/10 ,  G06F3/16 ,  H04R5/04

CPC classification number: G06F3/165 ,  H04R1/1083 ,  H04R1/1091 ,  H04R5/04 ,  H04R2499/11

Abstract: Systems and methods may provide for determining a usage context of a headset and detecting one or more danger-related conditions based on the usage context. Additionally, one or more settings of the headset may be adjusted in response to at least one of the one or more danger-related conditions. In one example, adjusting the one or more settings includes one or more of deactivating noise cancellation, adjusting noise cancellation to increase an intensity of at least one of the one or more danger-related sounds, or adjusting one or more audio playback settings associated with the headset.

Abstract translation: 系统和方法可以提供用于确定耳机的使用上下文并且基于使用上下文来检测一个或多个与危险有关的状况。 另外，可以响应于一个或多个危险相关条件中的至少一个来调整耳机的一个或多个设置。 在一个示例中，调整一个或多个设置包括去激活噪声消除，调整噪声消除以增加一个或多个危险相关声音中的至少一个的强度，或者调整一个或多个与 耳机。

公开(公告)号：US09406295B2

公开(公告)日：2016-08-02

申请号：US14365013

申请日：2013-11-22

Applicant: INTEL CORPORATION

Inventor： Jonathan J. Huang

IPC: G10L15/25 ,  G06K9/00 ,  G10L17/04

CPC classification number: G10L15/25 ,  G06K9/00221 ,  G06K9/00228 ,  G06K9/00268 ,  G10L17/04

Abstract: Embodiments of apparatus and methods for voice based user enrollment with video assistance are described. In embodiments, an apparatus may include a face recognition module to identify a user from a first plurality of images and a lip motion detection module to detect the lip motion of the user from a second plurality of images. The apparatus may also include a recording module to activate a recording of the user. The apparatus may further include a user enrollment module, coupled with the recording module and the lip motion detection module, to establish a speaker model of the user based at least in part on the recording and the lip motion of the user. Other embodiments may be described and/or claimed.

Abstract translation: 描述了具有视频辅助的基于语音的用户注册的装置和方法的实施例。 在实施例中，装置可以包括面部识别模块，用于从第一多个图像中识别用户，以及唇部运动检测模块，用于从第二多个图像检测用户的唇部运动。 该装置还可以包括用于激活用户记录的记录模块。 该装置还可以包括与记录模块和唇部运动检测模块耦合的用户登记模块，以至少部分地基于用户的记录和唇部运动来建立用户的扬声器模型。 可以描述和/或要求保护其他实施例。

公开(公告)号：US20160188284A1

公开(公告)日：2016-06-30

申请号：US14583264

申请日：2014-12-26

Applicant: Intel Corporation

Inventor： Mei Lu ,  Jonathan J. Huang ,  Stephen E. Rich ,  Noah Fishel

IPC: G06F3/16 ,  H04R1/10

CPC classification number: G06F3/165 ,  H04R1/1083 ,  H04R1/1091 ,  H04R5/04 ,  H04R2499/11

Abstract: Systems and methods may provide for determining a usage context of a headset and detecting one or more danger-related conditions based on the usage context. Additionally, one or more settings of the headset may be adjusted in response to at least one of the one or more danger-related conditions. In one example, adjusting the one or more settings includes one or more of deactivating noise cancellation, adjusting noise cancellation to increase an intensity of at least one of the one or more danger-related sounds, or adjusting one or more audio playback settings associated with the headset.

Abstract translation: 系统和方法可以提供用于确定耳机的使用上下文并且基于使用上下文来检测一个或多个与危险有关的状况。 另外，可以响应于一个或多个危险相关条件中的至少一个来调整耳机的一个或多个设置。 在一个示例中，调整一个或多个设置包括去激活噪声消除，调整噪声消除以增加一个或多个危险相关声音中的至少一个的强度，或者调整一个或多个与 耳机。