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    Audio User Interaction Recognition and Context Refinement
    91.
    发明申请
    Audio User Interaction Recognition and Context Refinement 审中-公开
    音频用户交互识别和上下文优化

    公开(公告)号：US20130304476A1

    公开(公告)日：2013-11-14

    申请号：US13674773

    申请日：2012-11-12

    Applicant: QUALCOMM INCORPORATED

    Inventor： Lae-Hoon Kim ,  Jongwon Shin ,  Erik Visser

    IPC: G10L21/00

    CPC classification number: H04R29/005 ,  G01S3/80 ,  G10L17/00 ,  G10L21/00 ,  G10L25/06 ,  G10L25/48 ,  G10L2021/02166 ,  H04L65/403 ,  H04N7/15 ,  H04R1/406 ,  H04R3/005 ,  H04R29/008 ,  H04R2430/20 ,  H04R2460/01 ,  H04R2499/11

    Abstract: A system which performs social interaction analysis for a plurality of participants includes a processor. The processor is configured to determine a similarity between a first spatially filtered output and each of a plurality of second spatially filtered outputs. The processor is configured to determine the social interaction between the participants based on the similarities between the first spatially filtered output and each of the second spatially filtered outputs and display an output that is representative of the social interaction between the participants. The first spatially filtered output is received from a fixed microphone array, and the second spatially filtered outputs are received from a plurality of steerable microphone arrays each corresponding to a different participant.

    Abstract translation: 对多个参与者进行社交交互分析的系统包括处理器。 处理器被配置为确定第一空间滤波输出与多个第二空间滤波输出中的每一个之间的相似度。 处理器被配置为基于第一空间滤波输出和第二空间滤波输出中的每一个之间的相似度来确定参与者之间的社交交互，并且显示代表参与者之间的社交交互的输出。 从固定的麦克风阵列接收第一空间滤波的输出，并且从多个可操纵的麦克风阵列接收第二空间滤波的输出，每个麦克风阵列对应于不同的参与者。

    SYSTEMS AND METHODS FOR AUDIO SIGNAL PROCESSING
    92.
    发明申请
    SYSTEMS AND METHODS FOR AUDIO SIGNAL PROCESSING 审中-公开
    用于音频信号处理的系统和方法

    公开(公告)号：US20130282372A1

    公开(公告)日：2013-10-24

    申请号：US13828158

    申请日：2013-03-14

    Applicant: QUALCOMM INCORPORATED

    Inventor： Erik Visser ,  Lae-Hoon Kim ,  Yinyi Guo ,  Juhan Nam

    IPC: G10L15/20

    CPC classification number: G10L21/0208 ,  G10L15/20 ,  G10L21/0316 ,  G10L25/93 ,  G10L2021/02165

    Abstract: A method for detecting voice activity by an electronic device is described. The method includes detecting near end speech based on a near end voiced speech detector and at least one single channel voice activity detector. The near end voiced speech detector is associated with a harmonic statistic based on a speech pitch histogram.

    Abstract translation: 描述了一种用于由电子设备检测语音活动的方法。 该方法包括基于近端浊音语音检测器和至少一个单声道语音活动检测器检测近端语音。 近端浊音语音检测器与基于语音音调直方图的谐波统计量相关联。

    OBJECT RECOGNITION USING MULTI-MODAL MATCHING SCHEME
    94.
    发明申请
    OBJECT RECOGNITION USING MULTI-MODAL MATCHING SCHEME 有权
    使用多模式匹配方案的对象识别

    公开(公告)号：US20130272548A1

    公开(公告)日：2013-10-17

    申请号：US13664295

    申请日：2012-10-30

    Applicant: QUALCOMM INCORPORATED

    Inventor： Erik Visser ,  Haiyin Wang ,  Hasib A. Siddiqui ,  Lae-Hoon Kim

    IPC: G06K9/00 ,  H04R3/00

    CPC classification number: G06K9/00624 ,  G06K9/00 ,  G06K9/0063 ,  G06K9/3233 ,  G06K9/4628 ,  G06K9/4671 ,  G06K9/6293 ,  G06T7/20 ,  H04R3/00 ,  H04R3/005 ,  H04S7/30 ,  H04S2400/11 ,  H04S2400/15

    Abstract: Methods, systems and articles of manufacture for recognizing and locating one or more objects in a scene are disclosed. An image and/or video of the scene are captured. Using audio recorded at the scene, an object search of the captured scene is narrowed down. For example, the direction of arrival (DOA) of a sound can be determined and used to limit the search area in a captured image/video. In another example, keypoint signatures may be selected based on types of sounds identified in the recorded audio. A keypoint signature corresponds to a particular object that the system is configured to recognize. Objects in the scene may then be recognized using a shift invariant feature transform (SIFT) analysis comparing keypoints identified in the captured scene to the selected keypoint signatures.

    Abstract translation: 公开了用于识别和定位场景中的一个或多个物体的方法，系统和制品。 拍摄场景的图像和/或视频。 使用在场景录制的音频，捕获的场景的对象搜索变窄。 例如，可以确定声音的到达方向（DOA）并用于限制捕获的图像/视频中的搜索区域。 在另一示例中，可以基于记录的音频中识别的声音的类型来选择关键点签名。 关键点签名对应于系统配置为识别的特定对象。 然后可以使用移位不变特征变换（SIFT）分析来比较场景中的对象，比较在捕获的场景中识别的关键点与所选择的关键点签名。

    Active self-voice naturalization using a bone conduction sensor
    98.
    发明授权
    Active self-voice naturalization using a bone conduction sensor 有权

    公开(公告)号：US12063490B2

    公开(公告)日：2024-08-13

    申请号：US18167823

    申请日：2023-02-10

    Applicant: QUALCOMM Incorporated

    Inventor： Lae-Hoon Kim ,  Rogerio Guedes Alves ,  Jacob Jon Bean ,  Erik Visser

    IPC: H04R3/04

    CPC classification number: H04R3/04 ,  H04R2460/13

    Abstract: Methods, systems, and devices for signal processing are described. Generally, as provided for by the described techniques, a wearable device to receive an input audio signal from one or more outer microphones, an input audio signal from one or more inner microphones, and a bone conduction signal from a bone conduction sensor based on the input audio signals. The wearable device may filter the bone conduction signal based on a set of frequencies of the input audio signals, such as a low frequency portion of the input audio signals. For example, the wearable device may apply a filter to the bone conduction signal that accounts for an error in the input audio signals. The wearable device may add a gain to the filtered bone conduction signal and may equalize the filtered bone conduction signal based on the gain. The wearable device may output an audio signal to a speaker.

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