A microphone assembly for a vehicle headliner includes a housing arranged to be received within a substrate layer of the headliner and having an upper portion and a lower portion. A circuit board is mounted in the upper portion and has a microphone element coupled thereto. An insert bracket includes a base and a shaft member extending upwardly therefrom, the base having a plurality of apertures aligned with the shaft member, wherein the shaft member engages the lower portion to connect the insert bracket to the housing. A sealing gasket having at least one channel defining an air path extending therethrough is arranged to be received within the shaft member and extend between the base and the upper portion, providing acoustic sealing between the insert bracket and the housing such that the air path directs sound from a cabin of the vehicle through the apertures to the microphone element.

A device includes a processor configured to receive audio data samples and provide the audio data samples to a first neural network to generate a first output corresponding to a first set of sound classes. The processor is further configured to provide the audio data samples to a second neural network to generate a second output corresponding to a second set of sound classes. A second count of classes of the second set of sound classes is greater than a first count of classes of the first set of sound classes. The processor is also configured to provide the first output to a neural adapter to generate a third output corresponding to the second set of sound classes. The processor is further configured to provide the second output and the third output to a merger adapter to generate sound event identification data based on the audio data samples.

In some cases, a verbal harassment detection system may use machine learning models to detect verbal harassment in real-time or near real-time. The system may receive an audio segment comprising a portion of audio captured by a microphone located within a vehicle. Further, the system may convert the audio segment to a text segment. The system may provide at least the text segment to a prediction model associated with verbal harassment detection to obtain a harassment prediction. Further, the system may provide the audio segment to an emotion detector to obtain a detected emotion of a speaking user that made an utterance included in the audio segment. Based at least in part on the harassment prediction and the detected emotion, the system may automatically, and without user intervention, determine whether a user is being harassed.

A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.

The present disclosure provides an automobile and a noise reduction method thereof, wherein the automobile includes an automobile body having an accommodating space and a plurality of doorways communicating with the accommodating space, a door configured for closing each doorway, at least one seat, at least one sound collecting device mounted on the automobile body at a periphery of each door, at least two sound devices mounted on at least one seat, and a processor electrically connected to all the sound devices and all the sound collecting devices. A noise reduction system composed of all the sound devices, all the sound devices, and the processor can perform noise reduction on a preset area in the accommodating space. The embodiments of the present invention expand and reuse a system composed of original sound collecting devices and sound devices in the automobile, without stacking materials on the doors or the automobile body.

A vehicle includes a first speaker, a microphone, an output device, and a control device configured to output a first sound signal through the first speaker, receive a second sound signal through the microphone, identify whether there is an occupant in a rear seat of the vehicle based on the first sound signal and the second sound signal, and control the output device to output a warning sound based on the presence of the occupant in the rear seat.

A system includes first, second, and third microphones configured to receive sound waves from a source of the sound waves. The system includes a memory configured to store first, second, and third phase difference maps for the first and second microphones, the second and third microphones, and the third and first microphones. The system includes a processor configured to measure first, second, and third phase differences between the sound waves received from the source by the first and second microphones, the second and third microphones, and the third and first microphones; receive the first, second, and third phase difference maps from the memory; and identify a location of the source of the sound waves based on the first, second, and third phase differences and the first, second, and third phase difference maps for the first and second microphones, the second and third microphones, and the third and first microphones.

The present disclosure relates to a noise control apparatus, vehicle having the same and method for controlling the vehicle to reduce indoor noise. In accordance with an aspect of disclosure, the vehicle collects sound by using a sound collector while driving the vehicle; detects vibration occurring in the vehicle by using a vibration detector; detects an occupant in the vehicle by using an occupant detector; generates a virtual reference signal based on an actual reference signal for the detected vibration; acquires location information of the occupant's ear based on the occupant information; generates a virtual error signal based on the acquired ear location information and the actual noise signal for the collected sound; generates a noise control signal based on the virtual error signal and the virtual reference signal; and outputs the generated noise control signal as sound.

The main driver information acquisition-based vehicle control system comprises a first ECU, a vehicle-mounted storage battery, a second ECU separately connected to the first ECU and the vehicle-mounted storage battery, and a microphone connected to the second ECU. The microphone is embedded on a door handle on one side of the driving position, and is used for obtaining voiceprint information. The second ECU is used for comparing the voiceprint information with a pre-entered voiceprint sample of a main driver, determining whether the voiceprint information is the main driver's, monitoring the electronic start status of a vehicle when the voiceprint information is the main driver's, and notifying the first ECU to control, according to preference information of the main driver, a device corresponding to the preference information of the main driver when monitoring that the vehicle enters an ACC or one-button start mode.

A forward facing imaging system for a vehicle includes an interior rearview mirror assembly mounted at an interior portion of a vehicle and a camera disposed at the interior rearview mirror assembly. The camera has a forward field of view through a windshield of the vehicle. The camera captures image data and captured image data is recorded by a recording system. During operation of the vehicle, the recording system records image data, as it is captured over a given period of operation of the vehicle, in a closed-loop fashion onto electronic memory. Image data, as captured by the camera, is processed by an image processor in order to determine the presence of at least one object forward of the equipped vehicle.