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31.
公开(公告)号:US11860288B2
公开(公告)日:2024-01-02
申请号:US16914064
申请日:2020-06-26
Applicant: Intel Corporation
Inventor: Hector Cordourier Maruri , Adam Kupryjanow , Karol Duzinkiewicz , Jose Rodrigo Camacho Perez , Paulo Lopez Meyer , Julio Zamora Esquivel , Alejandro Ibarra Von Borstel , Jonathan Huang
CPC classification number: G01S3/8083 , G01S3/86
Abstract: Methods, apparatus, systems, and articles of manufacture to detect the location of sound sources external to computing devices are disclosed. An apparatus, to determine a direction of a source of a sound relative to a computing device, includes a cross-correlation analyzer to generate a vector of values corresponding to a cross-correlation of first and second audio signals corresponding to the sound. The first audio signal is received from a first microphone of the computing device. The second audio signal is received from a second microphone of the computing device. The apparatus also includes a location analyzer to use a machine learning model and a set of the values of the vector to determine the direction of the source of the sound.
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公开(公告)号:US20220408201A1
公开(公告)日:2022-12-22
申请号:US17861784
申请日:2022-07-11
Applicant: Intel Corporation
Inventor: Lukasz Pindor , Daniel David Ben-Dayan Rubin , Adam Kupryjanow
Abstract: A method and system of audio processing encodes cochlear-simulating spike data into spectrogram data.
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公开(公告)号:US20210012767A1
公开(公告)日:2021-01-14
申请号:US17033605
申请日:2020-09-25
Applicant: Intel Corporation
Inventor: Adam Kupryjanow , Tomasz Noczynski , Lukasz Pindor , Sebastian Rosenkiewicz
Abstract: A system, method and computer readable medium for dynamic noise reduction in a voice call. The system includes an encoder having a short-time Fourier transform module to determine a magnitude spectrum and a phase spectrum of an input audio signal. The input audio signal includes speech and dynamic noise. A separator is coupled to the encoder. The separator comprises a temporal convolution network (TCN) used to develop a separation mask using the magnitude spectrum as input. The TCN is trained using a frequency SNR function used to calculate loss during training. A mixer is coupled to the separator to multiply the separation mask with the magnitude spectrum to separate the speech from the dynamic noise to obtain a denoise magnitude spectrum. The system also includes a decoder coupled to the mixer and the encoder. The decoder includes an inverse short-time Fourier transform module to reconstruct the input audio signal without the dynamic noise using the denoise magnitude spectrum and the phase spectrum.
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34.
公开(公告)号:US10529353B2
公开(公告)日:2020-01-07
申请号:US15837223
申请日:2017-12-11
Applicant: Intel Corporation
Inventor: Przemyslaw Maziewski , Adam Kupryjanow
Abstract: A mechanism is described for facilitating multi-device reverberation estimation according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capture logic to facilitate a microphone of a first voice-enabled device of multiple voice-enabled devices to detect a command from a user. The apparatus further includes calculation logic to facilitate a second voice-enabled device and a third voice-enabled device to calculate speech to reverberation modulation energy ratio (SRMR) values based on the command, where the calculation logic us further to estimate reverberation times (RTs) based on the SRMR values. The apparatus further includes decision and application logic to perform dereverberation based on the estimated RTs of the reverberations.
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公开(公告)号:US20190043521A1
公开(公告)日:2019-02-07
申请号:US15946847
申请日:2018-04-06
Applicant: Intel Corporation
Inventor: Przemyslaw Maziewski , Adam Kupryjanow , Lukasz Kurylo , Pawel Trella
CPC classification number: G10L21/0364 , G06F3/165 , G06F3/167 , G10L15/20 , G10L15/22 , G10L2015/223 , H03G3/3005 , H03G3/34 , H04R29/004 , H04R2430/01
Abstract: A mechanism is described for facilitating automatic gain adjustment in audio systems according to one embodiment. A method of embodiments, as described herein, includes determining status of one or more of gain settings, mute settings, and boost settings associated with one or more microphones based on a configuration of a computing device including a voice-enabled device. The method may further comprise recommending adjustment of microphone gain based on the configuration and the status of one or more of the gain, mute, and boost settings, and applying the recommended adjustment of the microphone gain.
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公开(公告)号:US20190028829A1
公开(公告)日:2019-01-24
申请号:US15815763
申请日:2017-11-17
Applicant: Intel Corporation
Inventor: Raghavendra Rao R , Przemyslaw Maziewski , Adam Kupryjanow , Anbumani Subramanian
CPC classification number: H04S7/305 , G06T7/62 , G06T17/00 , G06T2207/10004 , H04S7/303
Abstract: A mechanism is described for facilitating multi-modal dereverberation in far-field audio systems according to one embodiment. A method of embodiments, as described herein, includes performing geometry estimation of a geographical space based on visuals of the space received from one or more cameras of a computing device. The method may further include computing reverberation time based on the geometry estimation that is further based on the visuals, and computing and applying dereverberation based on the reverberation time.
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