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公开(公告)号:US11317232B2
公开(公告)日:2022-04-26
申请号:US16605195
申请日:2017-10-17
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Sunil Bharitkar , Madhu Sudan Athreya
Abstract: A communication system may include, in an example, a first computing device communicatively coupled, via a network, to at least a second computing device maintained at a geographically distinct location than the first computing device; the first computing device including: an array of audio output devices and a processor to receive transmitted speech data and metadata describing an estimated direction of arrival (DOA) of speech from a plurality of speakers at an array of microphones at the second computing device and render audio at the array of audio output devices associated with the first computing device by eliminating spatial collision during rendering; said spatial collision arising due to the low angular separation of the estimated DOA of a plurality of speakers.
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公开(公告)号:US20220116733A1
公开(公告)日:2022-04-14
申请号:US17419460
申请日:2019-07-03
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Srikanth Kuthuru , Sunil Bharitkar , Madhu Sudan Athreya
IPC: H04S7/00 , H04R3/04 , H04R5/04 , G10L21/0216
Abstract: Acoustic echo cancellation for a video conference system is described. A location of a person in a room can be determined. An audio signal received from the location of the person can be captured using beamforming. An acoustic echo cancellation parameter can be determined based in part on the audio signal captured from the location of the person. Acoustic echo cancellation can be performed on the audio signal using the acoustic echo cancellation parameter.
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公开(公告)号:US20210289306A1
公开(公告)日:2021-09-16
申请号:US16605195
申请日:2017-10-17
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Sunil Bharitkar , Madhu Sudan Athreya
Abstract: A communication system may include, in an example, a first computing device communicatively coupled, via a network, to at least a second computing device maintained at a geographically distinct location than the first computing device; the first computing device including: an array of audio output devices and a processor to receive transmitted speech data and metadata describing an estimated direction of arrival (DOA) of speech from a plurality of speakers at an array of microphones at the second computing device and render audio at the array of audio output devices associated with the first computing device by eliminating spatial collision during rendering; said spatial collision arising due to the low angular separation of the estimated DOA of a plurality of speakers.
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公开(公告)号:US20210234590A1
公开(公告)日:2021-07-29
申请号:US16606255
申请日:2018-02-15
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Richard Sweet , Sunil Bharitkar , Madhu Sudan Athreya
Abstract: A location of a first wireless device relative to a second wireless device with which the first wireless device exchanges an in-band data stream is determined. The in-band data stream is exchanged via a wireless signal, and the location is determined based at least in part on an out-of-band data stream originating at the first wireless device. A direction toward which to steer a beam of radiation emitted by an antenna array of the first wireless device is determined based on the location. An instruction is then transmitted to the first wireless device. The instruction instructs the first wireless device to steer the beam toward the direction.
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公开(公告)号:US20210134314A1
公开(公告)日:2021-05-06
申请号:US16487126
申请日:2017-04-28
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Sunil Bharitkar
IPC: G10L21/034 , G10L25/30 , G10L25/18 , H03G3/20
Abstract: In some examples, loudness enhancement based on multiband range compression may include determining, based on variations in compression parameters that include compression thresholds and compression ratios, corresponding variations in loudness levels for a specified loudness standard. A learning model may be trained based on the variations in the compression parameters and the corresponding variations in the loudness levels. A specified loudness level for a device may be ascertained, for example, from a user of the device. The compression parameters for the specified loudness level may be determined based on the trained learning model. Further, sub-band compression of an input audio signal may be performed, based on the determined compression parameters, by processing the input audio signal using a perfect reconstruction interbank.
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