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公开(公告)号：US11132992B2
公开(公告)日：2021-09-28
申请号：US16522416
申请日：2019-07-25
Applicant: Microsoft Technology Licensing, LLC
Inventor： Emilian Stoimenov , Rui Zhao , Kaustubh Prakash Kalgaonkar , Ivaylo Andreanov Enchev , Khuram Shahid , Anthony Phillip Stark , Guoli Ye , Mahadevan Srinivasan , Yifan Gong , Hosam Adel Khalil
Abstract: 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.
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公开(公告)号：US20210407498A1
公开(公告)日：2021-12-30
申请号：US17474829
申请日：2021-09-14
Applicant: Microsoft Technology Licensing, LLC
Inventor： Emilian Stoimenov , Rui Zhao , Kaustubh Prakash Kalgaonkar , Ivaylo Andreanov Enchev , Khuram Shahid , Anthony Phillip Stark , Guoli Ye , Mahadevan Srinivasan , Yifan Gong , Hosam Adel Khalil
Abstract: 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.
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公开(公告)号：US11798535B2
公开(公告)日：2023-10-24
申请号：US17474829
申请日：2021-09-14
Applicant: Microsoft Technology Licensing, LLC
Inventor： Emilian Stoimenov , Rui Zhao , Kaustubh Prakash Kalgaonkar , Ivaylo Andreanov Enchev , Khuram Shahid , Anthony Phillip Stark , Guoli Ye , Mahadevan Srinivasan , Yifan Gong , Hosam Adel Khalil
CPC classification number: G10L15/16 , G06N3/08 , G10L17/24 , G10L2015/088
Abstract: 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.
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公开(公告)号：US20200349927A1
公开(公告)日：2020-11-05
申请号：US16522416
申请日：2019-07-25
Applicant: Microsoft Technology Licensing, LLC
Inventor： Emilian Stoimenov , Rui Zhao , Kaustubh Prakash Kalgaonkar , Ivaylo Andreanov Enchev , Khuram Shahid , Anthony Phillip Stark , Guoli Ye , Mahadevan Srinivasan , Yifan Gong , Hosam Adel Khalil
Abstract: 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.
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