A method of and system for visualizing a sound source is disclosed. The method may include analyzing an audio signal received by a sound transducer to determine a positional direction of the sound source, determining whether the positional direction of the sound source falls outside a field of view of a user, and in response to determining that the positional direction of the sound source falls outside the field of view of the user, rendering on a display unit a visual representation of the sound source. The visual representation of the source is rendered on a virtual surface at a location within the field of view of the user, the location corresponding to at least one of a distance of the source from the user and a positional direction of the source with respect to the user.

An apparatus including circuitry configured to: obtain a binaural audio signal; obtain, based on the binaural audio signal, at least one direction parameter of at least one frequency band of the binaural audio signal; process the binaural audio signal to generate at least two audio signals for loudspeaker reproduction by modifying an inter-channel difference of the at least one frequency band of the binaural audio signal based on the at least one direction parameter for the at least one frequency band; and output the at least two audio signals for loudspeaker reproduction.

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.

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.

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.

A system and method for differentially locating and modifying audio sources that includes receiving multiple audio inputs from a set of distinct locations; determining a multi-dimensional audio map from the audio inputs; acquiring a set of positional audio control inputs applied to the audio map, each audio control input comprising a location and audio processing property; and generating an audio output according to the audio control inputs and the audio inputs. The audio control inputs capable of configuration through manual, automatic, computer vision analysis, and other configuration modes.

An estimator of direction of arrival (DOA) of speech from a far-field talker to a device in the presence of room reverberation and directional noise includes audio inputs received from multiple microphones and one or more beamformer outputs generated by processing the microphone inputs. A first DOA estimate is obtained by performing generalized cross-correlation between two or more of the microphone inputs. A second DOA estimate is obtained by performing generalized cross-correlation between one of the one or more beamformer outputs and one or more of: the microphone inputs and other of the one or more beamformer outputs. A selector selects the first or second DOA estimate based on an SNR estimate at the microphone inputs and a noise reduction amount estimate at the beamformer outputs. The SNR and noise reduction estimates may be obtained based on the detection of a keyword spoken by a desired talker.

Provided herein is a device for improved induction of sound by electromagnetic radiation, comprising a carrier layer; a first substance having a reflective property with respect to electromagnetic radiation having a predetermined wavelength spectrum; and a second substance having an absorptive property with respect to electromagnetic radiation having said predetermined wavelength spectrum; wherein said first substance is disposed in a region between said carrier layer and said second substance. Furthermore, a corresponding method is provided.

A hearing prosthesis, the hearing prosthesis including a plurality of sound capture devices and a determinator configured to generate a parameter indicative of an orientation of the plurality of sound capture devices relative to a reference, wherein the hearing prosthesis is configured to adjust a direction of focus of the hearing prosthesis based on at least the parameter.

A wearable device includes an audio system. In one embodiment, the audio system includes a sensor array that includes a plurality of acoustic sensors. When a user wears the wearable device, the audio system determines an acoustic transfer function for the user based upon detected sounds within a local area surrounding the sensor array. Because the acoustic transfer function is based upon the size, shape, and density of the user's body (e.g., the user's head), different acoustic transfer functions will be determined for different users. The determined acoustic transfer functions are compared with stored acoustic transfer functions of known users in order to authenticate the user of the wearable device.