H04R3/005

SOUND SOURCE LOCALIZATION WITH CO-LOCATED SENSOR ELEMENTS

A system includes a plurality of acoustic sensor elements co-located with one another, each acoustic sensor element of the plurality of acoustic sensor elements being configured to generate a signal representative of sound incident upon the plurality of acoustic sensor elements, and a processor configured to determine data indicative of a location of a source of the sound based on the signals representative of the incident sound. The plurality of acoustic sensor elements include a directional acoustic sensor element configured to generate a signal representative of a directional component of the sound.

LINEAR DIFFERENTIAL DIRECTIONAL MICROPHONE ARRAY
20220408183 · 2022-12-22 ·

Apparatus and method provided herein are directed to a linear differential directional microphone array (LDDMA), which takes into account the directionality of the array elements. The LDDMA may be designed by generating a steering vector for a linear array (LA) having preselected parameters including parameters δ, p, θ, N, and M, generating a constraint matrix based on the steering vector, reformulating the constraint matrix based on a microphone response matrix and a steering matrix, obtaining a beamformer by applying a minimum norm solution in terms of the constraint matrix, verifying a desired characteristic of the LA by calculating the beamformer for a desired direction, and constructing the LA based on the preselected parameters and the beamformer.

HEARING DEVICE COMPRISING AN ADAPTIVE FILTER BANK

A hearing device comprises a) at least one input transducer configured to pick up sound from an acoustic environment around the user when the user is wearing the hearing device, the at least one input transducer providing at least one electric input signal representative of said sound, b) at least one analysis filter bank configured to provide said at least one electric input signal as a multitude of frequency sub-band signals, the at least one analysis filter bank comprising b1) a plurality of M first filters h.sub.m(n), whose impulse responses are modulated from a first prototype filter h(n), where m=0, 1, . . . , M−1 is a frequency band index, and n is a time index, c) a processor for processing said at least one electric input signal provided by said at least one analysis filter bank, or a signal originating therefrom, and providing a processed signal, d) an output transducer configured to provide stimuli perceivable as sound to the user in dependence of said processed signal, and e) a controller for controlling said analysis filter bank by applying a different first prototype filter to said at least one filter bank in dependence of said current acoustic environment. A method of operating a hearing device is further disclosed.

Audio Signal Processing
20220407473 · 2022-12-22 ·

The processing of audio signals is shown in which a first gain-adjustable amplifier is configured to receive a feed forward signal from an input and a second gain-adjustable amplifier is configured to receive a feedback signal from an output. A gain controller supplies a first gain control signal to the first gain-adjustable amplifier, wherein the gain controller supplies a complementary second gain control signal to the second gain-adjustable amplifier, which may be the reciprocal of the first gain control signal. A first combiner is arranged to combine a first output from the first gain-adjustable amplifier with a second output from the second gain-adjustable amplifier. A plurality of filter elements are configured in parallel, wherein each filter element receives an output from the first combiner. A second combiner combines outputs from the filter elements with the original input signal and the filter elements have mutually different filtering characteristic.

AUDIO PROCESSING SYSTEM, AUDIO PROCESSING DEVICE, AND AUDIO PROCESSING METHOD
20220406286 · 2022-12-22 ·

An audio processing system includes at least one first microphone, at least one adaptive filter, and a processor. The at least one first microphone acquires a first audio signal and outputs a first signal based on the first audio signal. The first audio signal includes at least one of a first audio component generated at a first position and a second audio component generated at a second position different from the first position. The first signal is input to the at least one adaptive filter. The at least one adaptive filter outputs a passing signal based on the first signal. The processor, when executing a program stored in a memory, performs: making a determination of which of the first audio component and the second audio component the first audio signal includes more; and controlling a filter coefficient of the adaptive filter based on a result of the determination.

Intelligent Multi-Camera Switching with Machine Learning
20220408029 · 2022-12-22 ·

Multiple cameras in a conference room, each pointed in a different direction. At least a primary camera includes a microphone array to perform sound source localization (SSL). The SSL is used in combination with a video image to identify the speaker from among multiple individuals that appear in the video image. Neural network or machine learning processing is performed on the primary camera video of the identified speaker to determine the facial pose of speaker. The locations of the other cameras with respect to the primary camera have been determined. Using those locations and the facial pose, the camera with the best frontal view of the speaker is determined. That camera is set as the designated camera to provide video for transmission to the far end.

METHODS AND SYSTEMS TO DETECT VEHICLE THEFT EVENTS

In an exemplary embodiment, a system is provided that includes a sensor, a computer memory, and a processor. The sensor is configured to be disposed on a vehicle, and is configured to obtain sound or vibration data for the vehicle. The computer memory is configured to store a plurality of known signatures pertaining to a plurality of different types of vehicle theft events. The processor is configured to: compare a signature of the data with the plurality of known signatures stored in the computer memory; and determine whether a vehicle theft event is occurring based on the comparing of the signature of the data with the plurality of known signatures.

ELECTRONIC DEVICE FOR RESPONDING TO USER REACTION AND OUTSIDE SOUND AND OPERATING METHOD THEREOF
20220405045 · 2022-12-22 ·

Disclosed is a wireless audio device, which includes at least one microphone, at least one speaker, at least one sensor, a processor, and a memory storing instructions, and the instructions that, when executed by the processor, cause the wireless audio device, while the wireless audio device outputs a sound for reducing an outside sound acquired through the at least one microphone through the at least one speaker, to identify a specified outside sound of the outside sound acquired through the at least one microphone, to output a notification sound for indicating that the specified outside sound is identified through the at least one speaker, to identify a motion of a user of the wireless audio device through the at least one sensor, in response to outputting the notification sound, and to stop the output of the sound for reducing the outside sound based on the identified motion.

ACOUSTIC OUTPUT APPARATUS

The present disclosure relates to an acoustic output apparatus. The acoustic output apparatus comprising: at least one low-frequency acoustic driver that outputs sound from at least two first sound guiding holes; at least one high-frequency acoustic driver that outputs sound from at least two second sound guiding holes; and a controller configured to cause the low-frequency acoustic driver to output sound in a first frequency range, and cause the high-frequency acoustic driver to output sound in a second frequency range, wherein the second frequency range includes frequencies higher than the first frequency range.

Matching Active Speaker Pose Between Two Cameras
20220408015 · 2022-12-22 ·

Described are multiple cameras in a conference room, each pointed in a different direction. A primary camera includes a microphone array to perform sound source localization (SSL). The SSL is used in combination with a video image to identify the speaker from among multiple individuals that appear in the video image. Pose information of the speaker is developed. Pose information of each individual identified in each other camera is developed. The speaker pose information is compared to the pose information of the individuals from the other cameras. The best match for each other camera is selected as the speaker in that camera. The speaker views of each camera are compared to determine the speaker view with the most frontal view of the speaker. That camera is selected to provide the video for provision to the far end.