A method for feedforward noise cancellation in an enclosed space within a structure is provided. The method comprises placing a microphone array inside an inner surface of the enclosed space and conducting modal testing on an outside surface of the enclosed space, wherein the modal testing comprises multiple incoherent noise sources corresponding to locations of microphones in the microphone array. Noise generated by the modal testing is processed to create a number of acoustic mathematical models of the enclosed space. In response to incoherent noise within the enclosed space, a noise canceling signal is generated according to an output of the mathematical models.

Provided are methods for detecting objects within a vehicle. The methods can include emitting at least one auditory signal within the vehicle during at least one first time interval; measuring a second auditory signal emitted by an object within the vehicle during the second time interval subsequent to the at least one first time interval, where the emission of the second auditory signal is caused by the emission of the least one first auditory signal; determining a location of the object within the vehicle based on the measurement of the second auditory signal; and generating an alert to a user indicating the location of that object. Systems and computer program products are also provided.

Embodiments of the present disclosure a computer-implemented method comprising receiving sensor data from one or more vibration sensors that are embedded within a seat, where the sensor data includes data associated with speech by an occupant of the seat, and at least one of processing, transmitting, or storing the sensor data based on the data associated with the speech.

An audio sample including speech and ambient sounds is transmitted to a vehicle computer. Recorded audio is received from the vehicle computer, the recorded audio including the audio sample broadcast by the vehicle computer and recorded by the vehicle computer and recognized speech from the recorded audio. The recognized speech and text of the speech are input to a machine learning program that outputs whether the recognized speech matches the text. When the output from the machine learning program indicates that the recognized speech does not match the text, the recognized speech and the text are included in a training dataset for the machine learning program.

A vehicular alert system a microphone disposed at a vehicle. The vehicular alert system, responsive to processing of audio data captured by the microphone, determines an audio event occurring external of the vehicle. The vehicular alert system, responsive to determination that the audio event occurred external of the vehicle, generates an alert for an occupant of the vehicle. The alert includes vibration of a seat of the vehicle and the alert includes a visual alert at a display screen disposed within the vehicle and viewable by a driver of the vehicle. The visual alert indicates direction toward the determined audio event.

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.

A loudspeaker containing a sound-generating element and a grill mounted as a cover in front of the sound-generating element. The grill has optically transparent areas. At least one lighting element is mounted between the sound-generating element and the grill, the lighting element being visible from the outside through the optically transparent areas of the grill when illuminated.

A speaker diaphragm includes an edge formed from an elastomer, and a diaphragm body that is to be joined to the edge. A joint between the edge and the diaphragm body includes a melting portion between the edge and the diaphragm body.

The present disclosure relates to a method and a device for recognizing speech in a vehicle. The method for recognizing the speech in the vehicle may include collecting one or more types of information, determining information to be linked with each other for speech recognition based on an information processing priority predefined corresponding to each type of the collected information, analyzing the determined information to perform the speech recognition for a signal input through a microphone, and extracting at least one of a wake up voice or a command voice through the speech recognition to control the vehicle. Therefore, the present disclosure has an advantage of more accurately performing the speech recognition by linking collected various information in the vehicle with each other.

In one aspect, an example method to be performed by a vehicle-based media system includes (a) receiving audio content; (b) causing one or more speakers to output the received audio content; (c) using a microphone of the vehicle-based media system to capture the output audio content; (d) identifying reference audio content that has at least a threshold extent of similarity with the captured audio content; (e) identifying visual content based at least on the identified reference audio content; and (f) outputting, via a user interface of the vehicle-based media system, the identified visual content.