15results about "Multi-channel direction finding" patented technology

The invention discloses an underwater sound environment sensing method based on multi-array-element sparse channel estimation. An underwater sound receiving end receives signals transmitted through an underwater sound multipath channel through a multi-array-element array; performing Hilbert transform on the receiving signal of each array element to obtain an analysis signal, and calculating a cross-correlation function of the analysis signal and the transmitting signal; based on the cross-correlation function, sparse channel parameters, including path amplitude and time delay, of each array element are estimated by adopting an orthogonal matching pursuit algorithm combined with a constant false alarm detection dynamic threshold value; the method comprises the following steps: constructing an array response vector by using sparse channel parameters of a multi-array element array, and searching and estimating angles of arrival, including a direction angle and a pitch angle, of a multipath signal through a spatial spectrum peak value; and based on the arrival angles, amplitudes and time delays of the direct path and the reflection path, inverting an underwater environment structure through a ray acoustic theory, including a reflection point distance and a reflection surface normal vector, so as to realize three-dimensional perception of the underwater reflector. According to the invention, multipath resolution can be improved, and false alarm and missing detection can be effectively reduced.

The application discloses a kind of based on multi-array sparse channel estimation underwater acoustic environment perception method, underwater acoustic receiving end is received through multi-array array signal that is propagated through underwater acoustic multipath channel;The received signal of each array element is subjected to Hilbert transform, and analytic signal is obtained, and the cross-correlation function of analytic signal and transmitting signal is calculated;Based on cross-correlation function, using the orthogonal matching pursuit algorithm of combining constant false alarm detection dynamic threshold, the sparse channel parameters of each array element are estimated, including path amplitude and time delay;Utilize the sparse channel parameters of multi-array array, construct array response vector, estimate the angle of arrival of multipath signal, including direction angle and pitch angle by space spectrum peak value search;Based on the angle of arrival, amplitude and time delay of direct path and reflected path, the underwater environment structure is inverted by ray acoustics theory, including reflection point distance and reflection surface normal vector, realize the three-dimensional perception of underwater reflector.The application can improve multipath resolution, effectively reduce false alarm and miss detection.

Provided is a sound direction detection sensor capable of detecting a direction from which sound is coming by using a multi-resonator array. The disclosed sound direction detection sensor includes two resonator arrays, each including a plurality of resonators having different resonance frequencies. The two resonator arrays have different directivities. Each resonator array serves as an audio sensor, and the sound direction detection sensor detects a direction from which sound is incident, regardless of a distance between audio sensors.

A conference speech presentation system, a sound localization method and apparatus, a conference system and a pickup device. The method includes the following steps: collecting (S101) a multi-channel voice signal through a directional microphone array; determining (S103) a steering vector including phase information and amplitude information according to array shape information and microphone pointing direction information; determining (S105) sound direction information according to the steering vector and the voice signal. By adopting this processing mode, both the phase information and the amplitude information are considered when determining the steering vector, which can effectively improve the accuracy of sound localization.

To provide simultaneous acoustic event detection across multiple assistant devices.SOLUTION: An implementation embodiment detects audio data that capture acoustic events at various assistant devices in an ecosystem, processes the audio data locally at each assistant device to generate a measure associated with the acoustic event using respective event detection models, processes the respective measures to determine whether the detected acoustic event is an actual acoustic event, and causes actions associated with the actual acoustic event to be performed in response to determining that the detected acoustic event is an actual acoustic event. In some implementation embodiments, the assistant device that has detected the audio data is anticipated to detect audio data that capture the actual acoustic event based on previous acoustic events being detected in each of the assistant devices.SELECTED DRAWING: Figure 4

Techniques for determining the direction of arrival of an emergency event are described. Multiple audio sensors on a vehicle may receive audio data associated with the vehicle. A pair of audio sensors may be selected from the multiple audio sensors to generate audio data representative of sounds in the vehicle's environment. An angular spectrum associated with the pair of audio sensors may be determined based on the audio data. Features associated with the audio data may be determined based on the angular spectrum and / or the audio data itself. A direction of arrival (DoA) value associated with the sound may be determined based on the features using a machine learning model. A sound of the emergency event (e.g., a siren) may be detected in the audio data, and a direction associated with the emergency event related to the vehicle may be determined based on the features and the DoA value.

A signal localization device (1), comprising: a single sensor (4), a first redirection device (21) configured to guide an emitted signal (2) to the sensor (4) through a first channel, said first channel having a first intrinsic delay and a first spatial sensitivity so as to provide the emitted signal (2) to the sensor (4) with a first delay, a second redirection device (8) arranged to guide the emitted signal (2) to the sensor (4) through a second channel, said second channel having a second intrinsic delay and a second spatial sensitivity so as to provide the emitted signal (2) to the sensor (4) with a second delay, the first delay and the second delay being different, the second redirection (8) device comprising a delay structure (5) configured to provide the second delay to the emitted signal as a function of a direction (3) of the emitted signal (2), and a processing unit (6), configured to identify a localization of the emitted signal (2) as a function of the emitted signal, the first delay and the second delay.

Aspects of embodiments pertain to systems for estimating direction of arrival and delays of reflected and non-reflected sources in a room received by a plurality of sound capturing devices in the room, comprising obtaining sound data descriptive of received sources. Embodiments may further comprise determining, based on the sound data, a correlation value between each two audio channels of a plurality of audio channels to obtain, for a same frequency of the plurality of frequencies, a set of correlation values; and to perform a transform on each set of frequency-related correlation values to obtain a plurality of subsets of delay representations of a 3D Matrix. Each set of time delay representations may be analyzed or processed to extract information about the sources.

Embodiments described herein provide a combined multi-source time difference of arrival (TDOA) tracking and voice activity detection (VAD) mechanism that can be applicable to general array geometries, e.g., microphone arrays located on a plane. The combined multi-source TDOA tracking and VAD mechanism scans azimuth and elevation angles of the microphone array in microphone pairs based on which a planar locus of physically allowable TDOAs can be formed in a multi-dimensional TDOA space of multiple microphone pairs. In this way, the multi-dimensional TDOA tracking reduces the number of computations typically involved in conventional TDOA by performing a TDOA search separately for each dimension.

A system includes a phased antenna array configured to receive signals from at least one signal source not initially designed to provide a signal related to sound. The system also includes a signal processor configured to locate the at least one signal source using the received signals and detect a movement of the at least one signal source relative to the phased antenna array, wherein the detected movement is at least partially in response to sound waves impinging on the at least one signal source. The system further includes a sound demodulator configured to demodulate the sound waves from the detected movement.

The described aspects and implementations enable privacy-respecting detection, separation, and localization of sounds in vehicle environments. The techniques include obtaining, using audio detector(s) of a vehicle, a sound recording that includes a plurality of elemental sounds (ESs) in a driving environment of the vehicle, and processing, using a sound separation model, the sound recording to separate individual ESs of the plurality of ESs. The techniques further include identifying a content of individual ESs and causing a driving path of the vehicle to be modified in view of the identified content of the individual ESs. Further techniques include rendering speech imperceptibly by redacting temporal portions of the speech, using sound recognition models to identify and discard recordings of speech, and driving at speeds that exceed threshold speeds at which speech becomes imperceptible from noise masking.

A system includes a phased antenna array configured to receive signals from at least one signal source not initially designed to provide a signal related to sound. The system also includes a signal processor configured to locate the at least one signal source using the received signals and detect a movement of the at least one signal source relative to the phased antenna array, wherein the detected movement is at least partially in response to sound waves impinging on the at least one signal source. The system further includes a sound demodulator configured to demodulate the sound waves from the detected movement.

Embodiments described herein provide a combined multi-source time difference of arrival (TDOA) tracking and voice activity detection (VAD) mechanism that can be applicable to general array geometries, e.g., microphone arrays located on a plane. The combined multi-source TDOA tracking and VAD mechanism scans azimuth and elevation angles of the microphone array in microphone pairs based on which a planar locus of physically allowable TDOAs can be formed in a multi-dimensional TDOA space of multiple microphone pairs. In this way, the multi-dimensional TDOA tracking reduces the number of computations typically involved in conventional TDOA by performing a TDOA search separately for each dimension.

This application provides an in-vehicle user positioning method, an in-vehicle interaction method, a vehicle-mounted apparatus, and a vehicle. In an example, the in-vehicle user positioning method includes: obtaining a sound signal collected by an in-vehicle microphone; in response to that a first voice command is recognized from the sound signal, determining a first user who sends the first voice command; and determining an in-vehicle location of the first user based on a mapping relationship between an in-vehicle user and an in-vehicle location.

Provided is a device control method and apparatus. The method is applied to an audio device, and includes: receiving (101) an acoustic signal set, determining (102) a propagation characteristic of an acoustic signal in the acoustic signal set, determining (103), according to the propagation characteristic, a device parameter associated with audio play quality to be used by the audio device, and controlling (104) the audio device to play audio with the device parameter.