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ON-DEVICE CUSTOM WAKE WORD DETECTION

机译:设备上自定义唤醒字检测

摘要

Generally discussed herein are devices, systems, and methods for on-device detection of a wake word. A device can include a memory including model parameters that define a custom wake word detection model, the wake word detection model including a recurrent neural network transducer (RNNT) and a lookup table (LUT), the LUT indicating a hidden vector to be provided in response to a phoneme of a user-specified wake word, a microphone to capture audio, and processing circuitry to receive the audio from the microphone, determine, using the wake word detection model, whether the audio includes an utterance of the user-specified wake word, and wake up a personal assistant after determining the audio includes the utterance of the user-specified wake word.
机译:本文一般地讨论了用于设备上检测唤醒字的设备,系统和方法。设备可以包括存储器,该存储器包括定义自定义唤醒词检测模型的模型参数,该唤醒词检测模型包括循环神经网络换能器(RNNT)和查找表(LUT),该LUT指示要在其中提供的隐藏矢量。对用户指定的唤醒词的音素的响应,用于捕获音频的麦克风以及从麦克风接收音频的处理电路,使用唤醒词检测模型来确定音频是否包括用户指定的唤醒的发音单词,并在确定音频包括用户指定的唤醒单词的发音后唤醒个人助理。

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