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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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公开(公告)号:US11521598B2
公开(公告)日:2022-12-06
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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