Non-Coherent Noise Reduction For Audio Enhancement on Mobile Device

    公开(公告)号:US20240040309A1

    公开(公告)日:2024-02-01

    申请号:US17876388

    申请日:2022-07-28

    Applicant: MediaTek Inc.

    CPC classification number: H04R3/04 H04R3/005 H04R5/04 H04S7/307

    Abstract: Various techniques pertaining to non-coherent noise reduction for audio enhancement on a multi-microphone mobile device are proposed. A processor receives a plurality of signals from a plurality of audio sensors corresponding to a plurality of channels responsive to sensing by the plurality of audio sensors. The processor then performs a non-coherent noise reduction on one or more signals of the plurality of signals to suppress one or more non-coherent noises in each of the one or more signals based on a respective signal-to-noise ratio (SNR) associated with each of the one or more signals. The processor further combines the plurality of signals subsequent the noise reduction to generate an output signal.

    Audio device and method for detecting device status of audio device in audio/video conference

    公开(公告)号:US11863710B2

    公开(公告)日:2024-01-02

    申请号:US17515909

    申请日:2021-11-01

    Applicant: MEDIATEK INC.

    CPC classification number: H04M9/082 G10K11/17854 G10K11/17881 H04M9/085

    Abstract: An audio device is provided. The audio device includes processing circuitry which is connected to a loudspeaker and a microphone. The processing circuitry is configured to play an echo reference signal from a far end on the loudspeaker, and perform an acoustic echo cancellation (AEC) process using the echo reference signal and an acoustic signal received by the microphone using an AEC adaptive filter. The processing circuitry repeatedly determines a first status of the loudspeaker according to a relation between the played echo reference signal and the received acoustic signal, and transmits a first status signal indicating the first status of the loudspeaker to the far end through a cloud network.

    CONTENT AWARE AUDIO SOURCE LOCALIZATION
    3.
    发明申请

    公开(公告)号:US20190324117A1

    公开(公告)日:2019-10-24

    申请号:US15960962

    申请日:2018-04-24

    Applicant: MediaTek Inc.

    Abstract: A device is operative to locate a target audio source. The device includes multiple microphones arranged in a predetermined geometry. The device also includes a circuit operative to receive multiple audio signals from each of the microphones. The circuit is operative to estimate respective directions of audio sources that generate at least two of the audio signals; identify candidate audio signals from the audio signals in the directions; match the candidate audio signals with a known audio pattern; and generate an indication of a match in response to one of the candidate audio signals matching the known audio pattern.

    NON-COHERENT NOISE REDUCTION METHOD AND NON-COHERENT NOISE REDUCTION DEVICE

    公开(公告)号:US20250078800A1

    公开(公告)日:2025-03-06

    申请号:US18818610

    申请日:2024-08-29

    Applicant: MEDIATEK INC.

    Abstract: A non-coherent noise reduction method, comprising: (a) receiving a plurality of input audio sensing signals by a processor, wherein the input audio sensing signals correspond to a plurality of channels responsive to sensing by a plurality of audio sensors; (b) detecting whether non-coherent noise exists in at least one of the channels by a non-coherent noise detector; (c) estimating at least one noise power of the non-coherent noise by a noise power estimator, if the non-coherent noise exists in at least one of the channels; (d) deriving at least one noise contour of the non-coherent noise by a noise contour estimator, if the non-coherent noise exists in at least one of the channels; and (e) enhancing the input audio sensing signals according to the noise power and the noise contour if the non-coherent noise exists in at least one of the channels.

    VOICE WAKEUP DETECTING DEVICE WITH DIGITAL MICROPHONE AND ASSOCIATED METHOD
    6.
    发明申请
    VOICE WAKEUP DETECTING DEVICE WITH DIGITAL MICROPHONE AND ASSOCIATED METHOD 有权
    具有数字麦克风和相关方法的声音唤醒检测装置

    公开(公告)号:US20160171976A1

    公开(公告)日:2016-06-16

    申请号:US14959037

    申请日:2015-12-04

    Applicant: MEDIATEK Inc.

    Abstract: A voice wakeup detecting device for an electronic product includes a digital microphone and an application processor. The digital microphone has a function of judging whether a digital voice signal contains a subword according to subword model parameters. If the digital microphone confirms that the digital voice signal contains the subword, the digital microphone generates a first interrupt signal and outputs the digital voice signal. The application processor is enabled in response to the first interrupt signal. The application processor judges whether the digital voice signal contains a keyword according to keyword model parameters. If the application processor confirms that the digital voice signal contains the keyword, the electronic product is waked up from a sleep state to a normal working state under control of the application processor.

    Abstract translation: 用于电子产品的语音唤醒检测装置包括数字麦克风和应用处理器。 数字麦克风具有根据子词模型参数判断数字语音信号是否包含子字的功能。 如果数字麦克风确认数字话音信号包含子字,则数字话筒产生第一个中断信号并输出​​数字语音信号。 应用处理器响应于第一个中断信号被使能。 应用处理器根据关键词模型参数判断数字语音信号是否包含关键字。 如果应用处理器确认数字语音信号包含关键词,则在应用处理器的控制下,电子产品从休眠状态唤醒到正常工作状态。

    SYSTEM FOR SPEECH KEYWORD DETECTION AND ASSOCIATED METHOD
    7.
    发明申请
    SYSTEM FOR SPEECH KEYWORD DETECTION AND ASSOCIATED METHOD 有权
    用于发音关键字检测和相关方法的系统

    公开(公告)号:US20150161989A1

    公开(公告)日:2015-06-11

    申请号:US14166881

    申请日:2014-01-29

    Applicant: MEDIATEK Inc.

    CPC classification number: G10L15/08 G10L15/22 G10L2015/228

    Abstract: The invention provides a system for speech keyword detection and associated method. The system includes a speech keyword detector, an activity predictor and a decision maker. The activity predictor obtains sensor data provided by a plurality of sensors, and processes the sensor data to provide an activity prediction result indicating a probability for whether a user is about to give voice keyword. The decision maker processes the activity prediction result and a preliminary keyword detection result of the speech keyword detection to provide a keyword detection result.

    Abstract translation: 本发明提供了一种用于语音关键字检测和相关方法的系统。 该系统包括语音关键词检测器,活动预测器和决策者。 活动预测器获得由多个传感器提供的传感器数据,并且处理传感器数据以提供指示用户是否要给出语音关键字的概率的活动预测结果。 决策者处理活动预测结果和语音关键字检测的初步关键字检测结果以提供关键字检测结果。

    VOICE VERIFYING SYSTEM AND VOICE VERIFYING METHOD
    8.
    发明申请
    VOICE VERIFYING SYSTEM AND VOICE VERIFYING METHOD 有权
    语音验证系统和语音验证方法

    公开(公告)号:US20150073799A1

    公开(公告)日:2015-03-12

    申请号:US14024642

    申请日:2013-09-12

    Applicant: Mediatek Inc.

    CPC classification number: G10L25/78 G10L17/00 G10L2025/786

    Abstract: A voice verifying system, which comprises: a microphone, which is always turned on to output at least one voice signal; a speech determining device, for determining if the voice signal is valid or not according to a reference value, wherein the speech determining device passes the voice signal if the voice signal is valid; and a verifying module, for verifying a speech signal generated from the voice signal and for outputting a device activating signal to activate a target device if the speech signal matches a predetermined rule; and a reference value generating device, for generating the reference value according to speech signal information from the verifying module.

    Abstract translation: 语音验证系统,其包括:总是打开的麦克风以输出至少一个语音信号; 用于根据参考值确定语音信号是否有效的语音确定装置,其中如果语音信号有效,则语音确定装置通过语音信号; 以及验证模块,用于验证从所述语音信号产生的语音信号,并且如果所述语音信号匹配预定规则则输出设备激活信号以激活目标设备; 以及参考值生成装置,用于根据来自验证模块的语音信号信息产生参考值。

    Object analyzing method and object analyzing system

    公开(公告)号:US10275868B2

    公开(公告)日:2019-04-30

    申请号:US15196054

    申请日:2016-06-29

    Applicant: MEDIATEK INC.

    Abstract: An object analyzing method applied to an object analyzing system. The object analyzing method comprises: (a) applying at least one analyzing parameter extracting process according to an object type for an target object, to extract at least one analyzing parameter for the target object; (b) selecting least one analyzing model according to the object type; and (c) applying the analyzing model selected in the step (b), to analyze the analyzing parameter and accordingly generate an analyzing result.

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