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    • 5. 发明申请
    • Voice Recognition Configuration Selector and Method of Operation Therefor
    • 语音识别配置选择器及其操作方法
    • US20140278415A1
    • 2014-09-18
    • US13955187
    • 2013-07-31
    • Motorola Mobility LLC
    • Plamen A. IvanovJoel A. Clark
    • G10L15/06
    • G10L15/063G10L15/20G10L15/22G10L15/30G10L2015/228
    • A method includes obtaining a speech sample from a pre-processing front-end of a first device, identifying at least one condition, and selecting a voice recognition speech model from a database of speech models, the selected voice recognition speech model trained under the at least one condition. The method may include performing voice recognition on the speech sample using the selected speech model. A device includes a microphone signal pre-processing front end and operating-environment logic, operatively coupled to the pre-processing front end. The operating-environment logic is operative to identify at least one condition. A voice recognition configuration selector is operatively coupled to the operating-environment logic, and is operative to receive information related to the at least one condition from the operating-environment logic and to provide voice recognition logic with an identifier for a voice recognition speech model trained under the at least one condition.
    • 一种方法包括从第一设备的预处理前端获得语音样本,识别至少一种情况,以及从语音模型数据库中选择语音识别语音模型,所选择的语音识别语音模型在at 至少一个条件。 该方法可以包括使用所选择的语音模型对语音样本执行语音识别。 设备包括可操作地耦合到预处理前端的麦克风信号预处理前端和操作环境逻辑。 操作环境逻辑用于识别至少一个条件。 语音识别配置选择器可操作地耦合到操作环境逻辑,并且可操作以从操作环境逻辑接收与至少一个条件相关的信息,并且为语音识别逻辑提供用于已经训练的语音识别语音模型的标识符 在至少一个条件下。
    • 7. 发明申请
    • Apparatus and Method for Beamforming to Obtain Voice and Noise Signals
    • 波束形成获取语音和噪声信号的装置和方法
    • US20140278394A1
    • 2014-09-18
    • US13955723
    • 2013-07-31
    • Motorola Mobility LLC
    • Kevin John BastyrGiles T. DavisPlamen A. IvanovRivanaldo S. OliveiraTenkasi V. RamabadranSnehitha Singaraju
    • G10L21/0208G10L15/20H04R3/00
    • G10L21/0208G10L15/01G10L15/20G10L25/78G10L2021/02165G10L2021/02166H04R3/005
    • One method of operation includes beamforming a plurality of microphone outputs to obtain a plurality of virtual microphone audio channels. Each virtual microphone audio channel corresponds to a beamform. The virtual microphone audio channels include at least one voice channel and at least one noise channel. The method includes performing voice activity detection on the at least one voice channel and adjusting a corresponding voice beamform until voice activity detection indicates that voice is present on the at least one voice channel. Another method beamforms the plurality of microphone outputs to obtain a plurality of virtual microphone audio channels, where each virtual microphone audio channel corresponds to a beamform, and with at least one voice channel and at least one noise channel. The method performs voice recognition on the at least one voice channel and adjusts the corresponding voice beamform to improve a voice recognition confidence metric.
    • 一种操作方法包括波束成形多个麦克风输出以获得多个虚拟麦克风音频通道。 每个虚拟麦克风音频通道对应于波束形式。 虚拟麦克风音频通道包括至少一个语音通道和至少一个噪声通道。 该方法包括在至少一个语音信道上执行语音活动检测,并调整对应的语音波束形式,直到语音活动检测指示话音存在于至少一个话音信道上。 另一种方法波束形成多个麦克风输出以获得多个虚拟麦克风音频通道,其中每个虚拟麦克风音频通道对应于波束形式,并且具有至少一个语音通道和至少一个噪声通道。 该方法在至少一个语音信道上执行语音识别并调整相应的语音波束形式以改善语音识别置信量度。
    • 8. 发明申请
    • Apparatus and Method for Power Efficient Signal Conditioning for a Voice Recognition System
    • 用于语音识别系统的高效信号调理的装置和方法
    • US20140278393A1
    • 2014-09-18
    • US13955186
    • 2013-07-31
    • Motorola Mobility LLC
    • Plamen A. IvanovKevin J. BastryJoel A. ClarkMark A. JasiukTenkasi V. RamabadranJincheng Wu
    • G10L15/20
    • G10L15/20G10L15/28G10L21/0202G10L21/0216G10L21/0364G10L25/21G10L2021/02161
    • A disclosed method includes monitoring an audio signal energy level while having a plurality of signal processing components deactivated and activating at least one signal processing component in response to a detected change in the audio signal energy level. The method may include activating and running a voice activity detector on the audio signal in response to the detected change where the voice activity detector is the at least one signal processing component. The method may further include activating and running the noise suppressor only if a noise estimator determines that noise suppression is required. The method may activate and runs a noise type classifier to determine the noise type based on information received from the noise estimator and may select a noise suppressor algorithm, from a group of available noise suppressor algorithms, where the selected noise suppressor algorithm is the most power consumption efficient.
    • 所公开的方法包括:监测音频信号能级,同时响应于检测到的音频信号能量级的变化,使多个信号处理组件被去激活并激活至少一个信号处理组件。 该方法可以包括响应于检测到的改变而激活和运行音频信号上的语音活动检测器,其中语音活动检测器是至少一个信号处理组件。 该方法还可以包括仅当噪声估计器确定需要噪声抑制时激活和运行噪声抑制器。 该方法可以激活和运行噪声类型分类器,以基于从噪声估计器接收的信息来确定噪声类型,并且可以从一组可用的噪声抑制器算法中选择噪声抑制算法,其中所选择的噪声抑制器算法是最大功率 消费高效。