Techniques for adaptive cross-correlation are discussed. A first signal is received from a first audio sensor associated with a vehicle and a second signal is received from a second audio sensor associated with the vehicle. Techniques may include determining, based at least in part on the first signal, a first transformed signal in a frequency domain. Additionally, the techniques include determining, based at least in part on the second signal, a second transformed signal in the frequency domain. A parameter can be determined based at least in part on a characteristic associated with at least one of the vehicle, an environment proximate the vehicle, or one or more of the first or second signal. Cross-correlation data can be determined based at least in part on one or more of the first transformed signal, the second transformed signal, or the parameter.

The present application provides an intelligent device, an intelligent speaker, and a method and system for controlling the same. The intelligent device includes a first sound detection module configured to detect a first sound signal directly reaching the first sound detection module; an angle determination module configured to determine a time difference between the receiving time of the first sound signal and the receiving time of the second sound signal, and determine a relative angle between the intelligent device and the intelligent speaker based on a distance between the first sound detection module and the second sound detection module and the time difference; and a transmitting module configured to transmit a notification message containing the relative angle to the intelligent speaker, so that the intelligent speaker directionally transmits a sound to the intelligent device based on the relative angle. Directional sounding based on relative angle calculation is realized.

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.

An audio processing system includes a microphone array, a speech detection system, and a neural network noise reduction module. The microphone array includes at least two microphones and provides an audio signal from an environment surrounding the microphone array. The speech detection system receives the audio signal, and processes the audio signal to a) detect that a first user is speaking, b) determine a first direction relative to the audio array when the first user is located at a first location within the environment, and c) provide beamforming processing on the audio signal in the first direction, and to provide a processed audio signal based upon the beamforming processing. The neural network noise reduction module reduces noise in the processed audio signal.

Embodiments of systems and methods are described for estimating a position of a loudspeaker and notifying a listener if an abnormal condition is detected, such as an incorrect loudspeaker orientation or an obstruction in a path between the loudspeaker and a microphone array. For example, a front component of a multi-channel surround sound system may include the microphone array and a position estimation engine. The position estimation engine may estimate the distance between the loudspeaker and the microphone array. In addition, the position estimation engine may estimate an angle of the loudspeaker using a first technique. The position estimation engine may also estimate an angle of the loudspeaker using a second technique. The two angles can be processed to determine whether the abnormal condition exists. If the abnormal condition exists, a listener can be notified and be provided with suggestions for resolving the issue in a graphical user interface.

A remote assistance system comprises a remote facility configured to assist an operation of a vehicle. A processor of the vehicle executes data processing of surrounding environment data of the vehicle, and transmission processing to transmit data for communication indicating the processed data by the data processing to the remote facility. The surrounding environment data includes sound data of the surrounding environment of the vehicle. In the data processing of the surrounding environment data, a type of a sound source included in sound data is estimated by an acoustic analysis of the said sound data. Subsequently, identification data corresponding to the estimated type is specified by referring to a database of the vehicle using the estimated type, and this is added to the data for communication.

The present disclosure relates to a pair of glasses. The pair of glasses may include a frame, one or more lenses, and one or more temples. The pair of glasses may further include at least one low-frequency acoustic driver, at least one high-frequency acoustic driver, and a controller. The at least one low-frequency acoustic driver may be configured to output sounds from at least two first guiding holes. The at least one high-frequency acoustic driver may be configured to output sounds from at least two second guiding holes. The controller may be configured to direct the low-frequency acoustic driver to output the sounds in a first frequency range and direct the high-frequency acoustic driver to output the sounds in a second frequency range. The second frequency range may include one or more frequencies higher than one or more frequencies in the first frequency range.

An apparatus for positioning at least part of a sound field based on a target direction, the apparatus comprising means configured to: obtain at least one audio signal; obtain speaker setup information; obtain, for at least two processing paths, at least one processing path parameter, the at least one processing path parameter comprising a target direction associated with each of the at least two processing paths; process, for each of the at least two processing paths, the at least one audio signal based on the at least one processing path parameter to generate a multiple-channel audio signal, wherein for each processing path the means is configured to: generate at least two at least partly mutually incoherent audio signals from the at least one audio signal; determine at least two panning gains based on the target direction associated with the processing path and the speaker setup information; apply each of the at least two panning gains with an associated one of the at least partly mutually incoherent audio signal to generate at least two panning gain applied at least partly mutually incoherent audio signals; and combine the at least two panning gain applied at least partly mutually incoherent audio signals to generate the multiple-channel audio signal; and combine the multiple-channel audio signal from each processing path to generate a combined panning gain applied multiple-channel audio signal.

An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. The audio capture device determines whether one or more microphones are wet or dry and selects one or more audio signals from the one or more microphones depending on their respective conditions. The audio capture device generates a mono audio output signal or a stereo output signal depending on the respective conditions of the one or more microphones.

A beamforming method employs a plurality of microphones arranged in an array with respect to a reference point. The method includes acquiring microphone signals from the microphones and combining the microphone signals (x1 . . . xM) to obtain Virtual Microphones, combining the microphone signals to obtain a pair of directional Virtual Microphones having respective signals determining respective patterns of radiation with a same origin corresponding to the reference point and rotated at different pattern direction angles, defining a separation angle between them, obtaining a sum radiation signal of a sum Virtual Microphone with a sum radiation pattern, associating a respective weight to the signals of the pair of directional Virtual Microphones, obtaining respective weighted signals of radiation and summing the weighted signals, computing respective weights as a function of a determined pattern direction angle of the pattern of radiation of the pair of directional Virtual Microphones and of the separation angle.