Patent classifications
G01S5/20
SOUND SOURCE DETERMINING METHOD AND APPARATUS, AND STORAGE MEDIUM
This application discloses a method and apparatus for determining characteristics of a sound source. The method may include: acquiring a first position of a first virtual role controlled by an application client in a virtual scene; detecting, in a sound source detection area associated with the first position, a second position of a sound source virtual object in the virtual scene; determining transparency of a position mark that matches the sound source virtual object, according to a sound source distance between the first position and the second position, the position mark identifying the second position of the sound source virtual object; and displaying, on an interaction interface of the application client, the position mark of the sound source virtual object according to the transparency.
SOUND SOURCE DETERMINING METHOD AND APPARATUS, AND STORAGE MEDIUM
This application discloses a method and apparatus for determining characteristics of a sound source. The method may include: acquiring a first position of a first virtual role controlled by an application client in a virtual scene; detecting, in a sound source detection area associated with the first position, a second position of a sound source virtual object in the virtual scene; determining transparency of a position mark that matches the sound source virtual object, according to a sound source distance between the first position and the second position, the position mark identifying the second position of the sound source virtual object; and displaying, on an interaction interface of the application client, the position mark of the sound source virtual object according to the transparency.
INTERACTIVE AIRCRAFT CABIN ENVIRONMENT
The interactive aircraft cabin environment control system employs at least one microphone array disposed within the cabin to capture spoken utterances from a passenger and is configured to provide an estimation of passenger location within the cabin based on arrival time analysis of the spoken utterances. A data source onboard the aircraft provides flight context information. Such data sources include sensors measuring real-time parameters on the aircraft, the current flight plan of the aircraft, singly and in combination. A control processor, coupled to the microphone array, is configured to ascertain passenger identity based on the spoken utterances. The control processor is programmed and configured to learn and associate passenger preference to passenger identity. The control processor is receptive of the estimation of passenger location and is coupled to provide supervisory control over at least one device forming a part of the cabin environment according to passenger location, passenger preference obtained from passenger identity and flight context information.
Controlling a device by tracking movement of hand using acoustic signals
A method, device and computer program product for controlling the device by tracking a movement of a hand or other objects. The device receives acoustic signals. At least a portion of the received signals are transformed into two-dimensional sinusoids whose frequencies are proportional to an angle-of-arrival (AoA) and a propagation distance of the reflected signals. An AoA-distance profile is derived based on signals received from the object by evaluating frequencies of the two-dimensional sinusoids. Then, an AoA-distance pair is derived from the AoA-distance profile. A current location of the object is determined based on the estimated AoA-distance pair. The device then performs a command in response to detecting that the user moved to perform the command based on prior and current locations of the object.
Controlling a device by tracking movement of hand using acoustic signals
A method, device and computer program product for controlling the device by tracking a movement of a hand or other objects. The device receives acoustic signals. At least a portion of the received signals are transformed into two-dimensional sinusoids whose frequencies are proportional to an angle-of-arrival (AoA) and a propagation distance of the reflected signals. An AoA-distance profile is derived based on signals received from the object by evaluating frequencies of the two-dimensional sinusoids. Then, an AoA-distance pair is derived from the AoA-distance profile. A current location of the object is determined based on the estimated AoA-distance pair. The device then performs a command in response to detecting that the user moved to perform the command based on prior and current locations of the object.
Audio distance estimation for spatial audio processing
A method for spatial audio signal processing including: obtaining, from a first capture device, at least one first audio signal and at least one first direction parameter for at least one frequency band; obtaining, from a second capture device, at least one second audio signal and at least one second direction parameter for the at least one frequency band; obtaining a first position associated with the first capture device; obtaining a second position associated with the second capture device; determining a distance parameter for the at least one frequency band in relation to the first position based, at least partially, on the at least one first direction parameter and the at least one second direction parameter; and enabling an output and/or store of the at least one first audio signal, the at least one first direction parameter and the distance parameter.
UNMANNED AERIAL VEHICLE DETECTOR
Method of detecting and tracking an unmanned aerial vehicle, the method comprising, at a detector unit (300a) comprising a first microphone and a second microphone: monitoring for a sound associated with the presence of the unmanned aerial vehicle (505) in the vicinity of the detector unit; in response to the monitoring indicating the presence of the unmanned aerial vehicle, determining, at the detector unit, a phase delay between the sound as received at the first microphone and the sound as received at the second microphone; on the basis of the determined phase delay and a known separation of the first microphone and the second microphone, determining, at the detector unit, an azimuth angle (507a) to the unmanned aerial vehicle from the detector unit; and transmitting, to a computing node (501), the determined azimuth angle for use in determining a location of the unmanned aerial vehicle.
UNMANNED AERIAL VEHICLE DETECTOR
Method of detecting and tracking an unmanned aerial vehicle, the method comprising, at a detector unit (300a) comprising a first microphone and a second microphone: monitoring for a sound associated with the presence of the unmanned aerial vehicle (505) in the vicinity of the detector unit; in response to the monitoring indicating the presence of the unmanned aerial vehicle, determining, at the detector unit, a phase delay between the sound as received at the first microphone and the sound as received at the second microphone; on the basis of the determined phase delay and a known separation of the first microphone and the second microphone, determining, at the detector unit, an azimuth angle (507a) to the unmanned aerial vehicle from the detector unit; and transmitting, to a computing node (501), the determined azimuth angle for use in determining a location of the unmanned aerial vehicle.
SIGNAL PROCESSING APPARATUS AND METHOD
There is provided a signal processing apparatus advantageous in terms of sound source separation performance. The signal processing apparatus includes a dividing unit configured to divide audio signal acquired by a plurality of audio acquisition units into components of a plurality of different frequency bands, and a processing unit configured to form, based on the audio signal, a plurality of directional beams having different directivities in accordance with a target direction and a target width. Each of the plurality of directional beams has directivities in different directions for the respective components of the frequency bands divided by the dividing unit.
SIGNAL PROCESSING APPARATUS AND METHOD
There is provided a signal processing apparatus advantageous in terms of sound source separation performance. The signal processing apparatus includes a dividing unit configured to divide audio signal acquired by a plurality of audio acquisition units into components of a plurality of different frequency bands, and a processing unit configured to form, based on the audio signal, a plurality of directional beams having different directivities in accordance with a target direction and a target width. Each of the plurality of directional beams has directivities in different directions for the respective components of the frequency bands divided by the dividing unit.