A system for sound localization can include a first electronic device having a microphone to detect a sound, and a second electronic device. A processor can be in communication with the first electronic device and the second electronic device. The processor can receive a first signal from the first electronic device corresponding to the detected sound, determine a location of origin of the detected sound based at least in part on the first signal, and provide a second signal to the second electronic device based at least in part on the location of origin.

A hearing system configured to be located at or in the head of a user, comprises a) at least two microphones providing at least two electric input signals, b) an own voice detector, c) access to a database (O.sub.l, H.sub.l) comprising c1) relative or absolute own voice transfer function(s), and corresponding c2) absolute or relative acoustic transfer functions for a multitude of test-persons, d) a processor connectable to the at least two microphones, to the own voice detector, and to the database. The processor is configured A) to estimate an own voice relative transfer function for sound from the user's mouth to at least one of the at least two microphones, and B) to estimate personalized relative or absolute head related acoustic transfer functions from at least one spatial location other than the user's mouth to at least one of the microphones of the hearing system in dependence of the estimated own voice relative transfer function(s) and the database (O.sub.l, H.sub.l). The hearing system further comprises e) a beamformer configured to receive the at least two electric input signals, or processed versions thereof, and to determine personalized beamformer weights based on the personalized relative or absolute head related acoustic transfer functions or impulse responses. A method of determining personalized beamformer coefficients (w.sub.k) is further disclosed.

Techniques and systems are described for generating and using a sound localization model. A described technique includes obtaining for a building a sound sensor map indicating locations of first and second sound sensor devices in respective first and second rooms of the building; causing an autonomous device to navigate to the first room and to emit, during a time window, sound patterns at one or more frequencies within the first room; receiving sound data including first and second sound data respectively from the first and second sound sensor devices that are observed during the time window; and generating and storing a sound localization model based on the sound sensor map, autonomous device location information, and the received sound data, the model being configured to compensate for how sounds travels among rooms in at least a portion of the building such that an origin room of a sound source is identifiable.

There is provided a smart audio system including multiple audio devices and a central server. The central server confirms a model of every audio device and a position thereof in an operation area in a scan mode. The central server confirms a user position or a user state to accordingly control output power of a speaker of each of the multiple audio devices in an operation mode.

The present invention provides a microphone assembly having shielding function for a motor vehicle, comprising: a microphone circuit board having a microphone, which is supplied by a differential audio bus such that the ground potential of the microphone is floating; a cover which is located outside the microphone circuit board; a foamy part which is located between the cover and the microphone circuit board; and a shielding film which is suitable for shielding the microphone against electrostatic discharge, wherein the shielding film is located between the cover and the foamy part and covers the outer surface of the foamy part, and wherein the shielding film is electrically conductive and grounded to a vehicle chassis ground potential. In this situation, the shielding film can collect electrostatic charges and guide them to the chassis ground of the vehicle, so that electronic components on the microphone circuit board under the shielding film, especially the microphones having the floating ground, can be shielded from electrostatic discharge (ESD) damage. As a result, the ESD robust performance of the microphone assembly is significantly improved.

An open audio device with a body that has an inner surface that is configured to be located behind an outer ear of a user and in contact along a length of the body at multiple locations of at least one of the outer ear and the head proximate the intersection of the head and the outer ear. The inner surface of the body lies generally along a decaying helix. An acoustic module is carried by the body and is configured to be located against the outer ear above the ear canal opening.

A method is provided that includes obtaining two or more microphone audio signals; analysing the two or more microphone audio signals for a defined noise type; and processing the two or more microphone audio signals based on the analysis to generate at least one audio signal suitable for automatic speech recognition. A corresponding apparatus is also provided.

A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

In some embodiments, methods and systems for pushing audiovisual playlists based on a text-attentional convolutional neural network include a local voice interactive terminal, a dialog system server and a playlist recommendation engine, where the dialog system server and the playlist recommendation engine are respectively connected to the local voice interactive terminal. In some embodiments, the local voice interactive terminal includes a microphone array, a host computer connected to the microphone array, and a voice synthesis chip board connected to the microphone array. In some embodiments, the playlist recommendation engine obtains rating data based on a rating predictor constructed by the neural network; the host computer parses the data into recommended playlist information; and the voice terminal synthesizes the results and pushes them to a user in the form of voice.

A vehicle microphone system may include at least two microphones forming a microphone array, at least one loudspeaker configured to emit audio signals. a processor coupled to a memory and programmed to receive incoming audio signals from the microphone array, determine at least one parameter for each channel of the microphone array, determine at least one filter to apply to at least one channel based on a difference between the parameters of each channel, and store the at least one filter in the memory.