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公开(公告)号：US10141005B2
公开(公告)日：2018-11-27
申请号：US15200863
申请日：2016-07-01
Applicant: Apple Inc.
Inventor： Harvey D. Thornburg , Hyung-Suk Kim , Peter A. Raffensperger
IPC: G10L21/0388 , G10L21/0332 , G10L21/0232 , G10L21/0216 , G10L19/025
Abstract: Systems and techniques for removing non-stationary and/or colored noise can include one or more of the three following innovative aspects: (1) detection of an unwanted target signal, or component thereof, within an observed signal; (2) removal of the target (component) from the observed signal; and (3) filling of a gap in the observed signal generated by removal of the unwanted target (component). Removal regions, frequency bands, and/or regions of the observed signal used to train the gap filler can be adapted in correspondence with local characteristics of the observed signal and/or the target signal (component). Related aspects also are described. For example, disclosed noise detection and/or removal methods can include converting an incoming acoustic signal to a corresponding machine-readable form. And, a corrected signal in machine-readable form can be converted to a human-perceivable form, and/or to a modulated signal form conveyed over a communication connection.
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公开(公告)号：US20170358316A1
公开(公告)日：2017-12-14
申请号：US15200863
申请日：2016-07-01
Applicant: Apple Inc.
Inventor： Harvey D. Thornburg , Hyung-Suk Kim , Peter A. Raffensperger
IPC: G10L21/0388 , G10L21/0332
CPC classification number: G10L21/0232 , G10L19/02 , G10L21/0208 , G10L21/0224 , G10L21/0264 , G10L21/0332 , G10L21/0388
Abstract: Systems and techniques for removing non-stationary and/or colored noise can include one or more of the three following innovative aspects: (1) detection of an unwanted target signal, or component thereof, within an observed signal; (2) removal of the target (component) from the observed signal; and (3) filling of a gap in the observed signal generated by removal of the unwanted target (component). Removal regions, frequency bands, and/or regions of the observed signal used to train the gap filler can be adapted in correspondence with local characteristics of the observed signal and/or the target signal (component). Related aspects also are described. For example, disclosed noise detection and/or removal methods can include converting an incoming acoustic signal to a corresponding machine-readable form. And, a corrected signal in machine-readable form can be converted to a human-perceivable form, and/or to a modulated signal form conveyed over a communication connection.
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公开(公告)号：US20170358314A1
公开(公告)日：2017-12-14
申请号：US15200841
申请日：2016-07-01
Applicant: Apple Inc.
Inventor： Harvey D. Thornburg , Hyung-Suk Kim , Peter A. Raffensperger
IPC: G10L21/0232
CPC classification number: G10L21/0232 , G10L19/02 , G10L21/0208 , G10L21/0224 , G10L21/0264 , G10L21/0332 , G10L21/0388
Abstract: Systems and techniques for removing non-stationary and/or colored noise can include one or more of the three following innovative aspects: (1) detection of an unwanted target signal, or component thereof, within an observed signal; (2) removal of the target (component) from the observed signal; and (3) filling of a gap in the observed signal generated by removal of the unwanted target (component). Removal regions, frequency bands, and/or regions of the observed signal used to train the gap filler can be adapted in correspondence with local characteristics of the observed signal and/or the target signal (component). Related aspects also are described. For example, disclosed noise detection and/or removal methods can include converting an incoming acoustic signal to a corresponding machine-readable form. And, a corrected signal in machine-readable form can be converted to a human-perceivable form, and/or to a modulated signal form conveyed over a communication connection.
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公开(公告)号：US11941968B2
公开(公告)日：2024-03-26
申请号：US18103486
申请日：2023-01-30
Applicant: Apple Inc.
Inventor： Hyung-Suk Kim , Daniel C. Klingler , Miquel Espi Marques , Carlos M. Avendano
CPC classification number: G08B21/182 , G01H3/005 , G06N20/00 , G08B7/06 , G10L25/51
Abstract: An electronic device includes a processor, and a memory containing instructions that, when executed by the processor, cause the electronic device to learn a sound emitted by a legacy device and to issue an output when the electronic device subsequently hears the sound. For example, the electronic device can receive a training input and extract a compact representation of a sound in the training input, which the device stores. The device can receive an audio signal corresponding to an observed acoustic scene and extract a representation of the observed acoustic scene from the audio signal. The electronic device can determine whether the sound is present in the observed acoustic scene at least in part from a comparison of the representation of the observed acoustic scene with the representation of the sound. The electronic device emits a selected output responsive to determining that the sound is present in the acoustic scene.
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公开(公告)号：US20210020018A1
公开(公告)日：2021-01-21
申请号：US16872168
申请日：2020-05-11
Applicant: Apple Inc.
Inventor： Hyung-Suk Kim , Daniel C. Klingler , Miquel Espi Marques , Carlos M. Avendano
Abstract: An electronic device includes a processor, and a memory containing instructions that, when executed by the processor, cause the electronic device to learn a sound emitted by a legacy device and to issue an output when the electronic device subsequently hears the sound. For example, the electronic device can receive a training input and extract a compact representation of a sound in the training input, which the device stores. The device can receive an audio signal corresponding to an observed acoustic scene and extract a representation of the observed acoustic scene from the audio signal. The electronic device can determine whether the sound is present in the observed acoustic scene at least in part from a comparison of the representation of the observed acoustic scene with the representation of the sound. The electronic device emits a selected output responsive to determining that the sound is present in the acoustic scene.
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Patent Agency Ranking
公开(公告)号：US20200090644A1
公开(公告)日：2020-03-19
申请号：US16564775
申请日：2019-09-09
Applicant: Apple Inc.
Inventor： Daniel C. Klingler , Carlos M. Avendano , Hyung-Suk Kim , Miquel Espi Marques
Abstract: An electronic device has one or more microphones that pick up a sound. At least one feature extractor processes the audio signals from the microphones, that contain the picked up the sound, to determine several features for the sound. The electronic device also includes a classifier that has a machine learning model which is configured to determine a sound classification, such as artificial versus natural for the sound, based upon at least one of the determined features. Other aspects are also described and claimed.
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公开(公告)号：US09984701B2
公开(公告)日：2018-05-29
申请号：US15200841
申请日：2016-07-01
Applicant: Apple Inc.
Inventor： Harvey D. Thornburg , Hyung-Suk Kim , Peter A. Raffensperger
IPC: H04B15/00 , G10L21/0232 , G10L21/0264 , G10L19/02
CPC classification number: G10L21/0232 , G10L19/02 , G10L21/0208 , G10L21/0224 , G10L21/0264 , G10L21/0332 , G10L21/0388
Abstract: Systems and techniques for removing non-stationary and/or colored noise can include one or more of the three following innovative aspects: (1) detection of an unwanted target signal, or component thereof, within an observed signal; (2) removal of the target (component) from the observed signal; and (3) filling of a gap in the observed signal generated by removal of the unwanted target (component). Removal regions, frequency bands, and/or regions of the observed signal used to train the gap filler can be adapted in correspondence with local characteristics of the observed signal and/or the target signal (component). Related aspects also are described. For example, disclosed noise detection and/or removal methods can include converting an incoming acoustic signal to a corresponding machine-readable form. And, a corrected signal in machine-readable form can be converted to a human-perceivable form, and/or to a modulated signal form conveyed over a communication connection.
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公开(公告)号：US12094457B2
公开(公告)日：2024-09-17
申请号：US17992785
申请日：2022-11-22
Applicant: Apple Inc.
Inventor： Daniel C. Klingler , Carlos M. Avendano , Hyung-Suk Kim , Miquel Espi Marques
Abstract: An electronic device has one or more microphones that pick up a sound. At least one feature extractor processes the audio signals from the microphones, that contain the picked up the sound, to determine several features for the sound. The electronic device also includes a classifier that has a machine learning model which is configured to determine a sound classification, such as artificial versus natural for the sound, based upon at least one of the determined features. Other aspects are also described and claimed.
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公开(公告)号：US20230186904A1
公开(公告)日：2023-06-15
申请号：US17992785
申请日：2022-11-22
Applicant: Apple Inc.
Inventor： Daniel C. Klingler , Carlos M. Avendano , Hyung-Suk Kim , Miquel Espi Marques
Abstract: An electronic device has one or more microphones that pick up a sound. At least one feature extractor processes the audio signals from the microphones, that contain the picked up the sound, to determine several features for the sound. The electronic device also includes a classifier that has a machine learning model which is configured to determine a sound classification, such as artificial versus natural for the sound, based upon at least one of the determined features. Other aspects are also described and claimed.
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公开(公告)号：US11568731B2
公开(公告)日：2023-01-31
申请号：US16872168
申请日：2020-05-11
Applicant: Apple Inc.
Inventor： Hyung-Suk Kim , Daniel C. Klingler , Miquel Espi Marques , Carlos M. Avendano
Abstract: An electronic device includes a processor, and a memory containing instructions that, when executed by the processor, cause the electronic device to learn a sound emitted by a legacy device and to issue an output when the electronic device subsequently hears the sound. For example, the electronic device can receive a training input and extract a compact representation of a sound in the training input, which the device stores. The device can receive an audio signal corresponding to an observed acoustic scene and extract a representation of the observed acoustic scene from the audio signal. The electronic device can determine whether the sound is present in the observed acoustic scene at least in part from a comparison of the representation of the observed acoustic scene with the representation of the sound. The electronic device emits a selected output responsive to determining that the sound is present in the acoustic scene.
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