公开(公告)号：US20170186442A1

公开(公告)日：2017-06-29

申请号：US14998203

申请日：2015-12-24

Applicant: Intel Corporation

Inventor： Niall Cahill ,  Jakub Wenus ,  Mark Y. Kelly ,  Michael Nolan

IPC: G10L21/028 ,  G10L21/0308 ,  G10L21/0216

CPC classification number: G10L21/028 ,  G10L21/0216 ,  G10L21/0308 ,  G10L2021/02087

Abstract: An audio signal processing system removes at least a portion of a noise component from a number of audio input signals generated by a number of closely proximate agents within an input signal source location. The availability of each audio input signal and the geographically proximate location of each of the agents creating an audio input signal facilitates the real-time or near real-time reduction in ambient noise level in each of the audio input signals using a Blind Sound Source Separation (BSSS) technique.

公开(公告)号：USD920137S1

公开(公告)日：2021-05-25

申请号：US29639602

申请日：2018-03-07

Applicant: Intel Corporation

Designer： Keith A. Ellis ,  Niall Cahill ,  Mark Y. Kelly ,  Gabriel Mullarkey

公开(公告)号：US09928848B2

公开(公告)日：2018-03-27

申请号：US14998203

申请日：2015-12-24

Applicant: Intel Corporation

Inventor： Niall Cahill ,  Jakub Wenus ,  Mark Y. Kelly ,  Michael Nolan

IPC: G10L21/028 ,  G10L21/0216 ,  G10L21/0308 ,  G10L21/0208

CPC classification number: G10L21/028 ,  G10L21/0216 ,  G10L21/0308 ,  G10L2021/02087

Abstract: An audio signal processing system removes at least a portion of a noise component from a number of audio input signals generated by a number of closely proximate agents within an input signal source location. The availability of each audio input signal and the geographically proximate location of each of the agents creating an audio input signal facilitates the real-time or near real-time reduction in ambient noise level in each of the audio input signals using a Blind Sound Source Separation (BSSS) technique.

公开(公告)号：US09736580B2

公开(公告)日：2017-08-15

申请号：US14662880

申请日：2015-03-19

Applicant: INTEL CORPORATION

Inventor： Niall Cahill ,  Hugh M. Carr ,  Mark Y. Kelly ,  Keith Nolan ,  Aurelian V. Lazarut ,  Keith A. Ellis ,  Ronan J. O'Malley

IPC: H04R5/00 ,  G09F27/00 ,  H04R3/00 ,  G01S3/80 ,  G01S3/801 ,  G01S3/808

CPC classification number: H04R3/005 ,  G01S3/80 ,  G01S3/801 ,  G01S3/8083

Abstract: Techniques are disclosed for scene analysis including the use of acoustic imaging and computer audio vision processes for monitoring applications. In some embodiments, an acoustic image device is utilized with a microphone array, image sensor, acoustic image controller, and a controller. In some cases, the controller analyzes at least a portion of the spatial spectrum within the acoustic image data to detect sound variations by identifying regions of pixels having intensities exceeding a particular threshold. In addition, the controller can detect two or more co-occurring sound events based on the relative distance between pixels with intensities exceeding the threshold. The resulting data fusion of image pixel data, audio sample data, and acoustic image data can be analyzed using computer audio vision, sound/voice recognition, and acoustic signature techniques to recognize/identify audio and visual features associated with the event and to empirically or theoretically determine one or more conditions causing each event.