Audio signals from microphones of a mobile device are received. Each audio signal is generated by a respective microphone of the microphones. First microphones are selected from among the microphones to generate a front audio signal. Second microphones are selected from among the microphones to generate a back audio signal. A first audio signal portion, which is determined based at least in part on the back audio signal, is removed from the front audio signal to generate a modified front audio signal. A second audio signal portion is removed from the modified front audio signal to generate a left-front audio signal. A third audio signal portion is removed from the modified front audio signal to generate a right-front audio signal.

Systems and methods for suppressing noise and detecting voice input in a multi-channel audio signal captured by two or more network microphone devices include receiving an instruction to process one or more audio signals captured by a first network microphone device and after receiving the instruction (i) disabling at least a first microphone of a plurality of microphones of a second network microphone device, (ii) capturing a first audio signal via a second microphone of the plurality of microphones, (iii) receiving over a network interface of the second network microphone device a second audio signal captured via at least a third microphone of the first network microphone device, (iv) using estimated noise content to suppress first and second noise content in the first and second audio signals, (v) combining the suppressed first and second audio signals into a third audio signal, and (vi) determining that the third audio signal includes a voice input comprising a wake word.

A distributed microphones signal server includes a network interface circuit that communicates with mobile terminals and a plurality of microphones that are geographically distributed. The server receives an audio request message containing a location of the mobile terminal, and selects a microphone from among the plurality of microphones responsive to the location of the mobile terminal. The server obtains an audio stream from the selected microphone, and communicates the audio stream to the mobile terminal. Related methods by a distributed microphones signal server are disclosed. Related computer program products and methods by a mobile terminal are disclosed.

A flux beam is generated as a function of flux magnitude patterns. A plurality of flux signals is detected via a sensor array comprising a plurality of sensors. A plurality of flux patterns is generated based on the plurality of flux signals, each of the plurality of flux patterns representing a respective one of the plurality of flux signals. A plurality of flux magnitude patterns is generated based on the plurality of flux patterns, each of the plurality of flux magnitude patterns representing an absolute value of a respective one of the plurality of flux patterns. A flux beam is then generated as a function of the plurality of flux magnitude patterns.

A method, system, apparatus, and architecture are provided for generating a sound-enhanced sensing envelope. A plurality of sensors and one or more passive sound sensors of a vehicle are used to collect and process sensor data signals characterizing an exterior environment of the vehicle, thereby generating a sensing envelope around the vehicle using direct sensing data signals and a sound-enhanced sensing envelope around the vehicle using indirect sensing data signals. The sound-enhanced sensing envelope is used to evaluate advanced driver assistance system commands for the vehicle with respect to safety-related events identified by the indirect sensing data signals.

An electronic module is provided. The electronic module includes a first transducer and a second transducer. The first transducer is configured to radiate a first ultrasonic wave. The second transducer is configured to radiate a second ultrasonic wave. A location of the first transducer is configured to be adjustable with respect to the second transducer.

Immersive experiences for users are described herein. In an example, audio data from a plurality of audio sensors associated with a vehicle can be received by an audio data processing system. The audio data processing system can combine individual captured audio channels (e.g., from the plurality of audio sensors) into two or more audio channels for output via two or more speakers proximate a user. A first audio channel of the two or more audio channels can be output via a first speaker and second audio channel of the two or more audio channels to be output via a second speaker, wherein output of the first audio channel and the second audio channel causes a resulting sound corresponding to at least a portion of a sound scene associated with the vehicle. In an example, a user computing device operable by the user can receive an input from the user.

A method for estimating a user's location in an environment may involve receiving output signals from each microphone of a plurality of microphones in the environment. At least two microphones of the plurality of microphones may be included in separate devices at separate locations in the environment and the output signals may correspond to a current utterance of a user. The method may involve determining multiple current acoustic features from the output signals of each microphone and applying a classifier to the multiple current acoustic features. Applying the classifier may involve applying a model trained on previously-determined acoustic features derived from a plurality of previous utterances made by the user in a plurality of user zones in the environment. The method may involve determining, based at least in part on output from the classifier, an estimate of the user zone in which the user is currently located.

In order to estimate the trajectory of a moving wave source, this trajectory estimation device (10) comprises: an acquisition unit (11) that acquires wave motion data based on wave motion detected by a plurality of sensors (100); a generation unit (12) that generates a spectrogram using the wave motion data; an extraction unit (13) that extracts a Doppler shift from the spectrogram; a selection unit (14) that selects, as a sensor pair, two sensors that satisfy a preset selection condition pertaining to the Doppler shift; and an estimation unit (15) that estimates the trajectory of a wave source, which is the source generating the wave motion, on the basis of the positional relationship between the sensors constituting the sensor pair and the relationship of the Doppler shift between the two sensors constituting the sensor pair.

A method for determining microphone position is a method for determining positions of a plurality of microphones in a microphone array having the plurality of microphones arranged in a plurality of concentric circles. The method for determining microphone position includes a constraint condition acquiring step of acquiring constraint conditions including the maximum number of the plurality of microphones; and a selecting step of selecting, from among a plurality of combinations of (i) the number of microphones included in each of the plurality of concentric circles and (ii) the radius of each of the plurality of concentric circles, a combination indicating directional characteristics with the smallest difference from a target value of the directional characteristics of the microphone array, where the plurality of combinations satisfy the constraint conditions.