An acoustic signal processing device calculates a signal waveform that a microphone receives when at least one of a sound source and the microphone is moving. The acoustic signal processing device includes a coefficient calculation unit configured to model a steering coefficient g.sub.k,m representing how much an amplitude of a sound source signal emitted at an mth discrete time, where m is an integer between 1 and M and M is a length of the sound source signal, is transferred to an amplitude of a signal that the microphone receives at a kth discrete time, where k is an integer between 1 and K and K is a length of a recording signal, using N-order Fourier series expansion where N is an integer of 1 or more, and a recording signal calculation unit configured to calculate the signal waveform that the microphone receives using the modeled steering coefficient g.sub.k,m.

The present technology relates to an encoding device and method, a decoding device and method, and a program capable of realizing sense-of-distance control based on intention of a content creator.

The encoding device includes: an object encoding unit that encodes audio data of an object; a metadata encoding unit that encodes metadata including position information of the object; a sense-of-distance control information determination unit that determines sense-of-distance control information for sense-of-distance control processing to be performed on the audio data; a sense-of-distance control information encoding unit that encodes the sense-of-distance control information; and a multiplexer that multiplexes the coded audio data, the coded metadata, and the coded sense-of-distance control information to generate coded data. The present technology can be applied to a content reproduction system.

A hearing system comprises a) a multitude of M of microphones providing M corresponding electric input signals x.sub.m(n), m=1, ..., M, and n representing time, b) a processor connected to said multitude of microphones and providing a processed signal in dependence thereof, c) an output unit for providing an output signal in dependence of said processed signal, and d) a database (Θ) comprising a dictionary (Δ.sub.pd) of previously determined acoustic transfer function vectors (ATF.sub.pd). The processor is configured A) to determine a constrained estimate of a acoustic transfer function vector (ATF.sub.pd,.sub.cur) in dependence of said M electric input signals and said dictionary (Δ.sub.pd), B) to determine an unconstrained estimate of a current acoustic transfer function vector (ATF.sub.uc,.sub.cur) in dependence of said M electric input signals, and C) to determine a resulting acoustic transfer function vector (ATF*) for a user of the hearing system in dependence thereof and of a confidence measure related to said electric input signals. A method of operating a hearing device is also disclosed. Thereby an improved noise reduction system for a hearing aid or headset may be provided.

An audio device for a vehicle includes a loudspeaker system having a plurality of loudspeakers, which are arranged spatially such that they enable a three-dimensional listening experience in a vehicle interior. The audio device also includes a control unit which is coupled to the loudspeaker system and which is configured to control at least one loudspeaker of the loudspeaker system in order to reproduce a position-specific warning signal which is linked to a specific position. For reproducing the position-specific warning signal, the control unit controls only the loudspeaker or those loudspeakers of the loudspeaker system which is/are closest to the specific position.

An example device for processing extended reality (XR) data includes a processors configured to: parse entry point data of an XR scene to extract information about one or more required virtual objects for the XR scene, the required virtual objects including a number of dynamic virtual objects equal to or greater than one, each of the dynamic virtual objects including at least one dynamic media component for which media data is to be retrieved; initialize a number of streaming sessions equal to or greater than the number of dynamic virtual objects using the entry point data; configure quality of service (QoS) and charging information for the streaming sessions; retrieve media data for the dynamic virtual objects via the streaming sessions; and send the retrieved media data to a rendering unit to render the XR scene to include the retrieved media data at corresponding locations within the XR scene.

Disclosed are a test instrument and testing methods for audibly providing signal metrics (such as signal strength and/or signal quality) of fifth-generation network (5G) beams to assist installation of 5G Customer Premises Equipment (CPE) antenna at a premises. A test instrument may obtain signal metrics and provide audio output based on the signal metrics at various locations of the premises. The audio output may be transmitted to a headphone device worn by a user. In this manner, the user may select an appropriate location on the premises at which to install the 5G CPE antenna via audible queues that are based on the measured signal metric at a given location. The test instrument may provide fine-tuning capabilities by also audibly providing directional information that indicates where the 5G CPE antenna should be pointed or moved to align the 5G CPE antenna to a 5G beam.

An audio processing apparatus comprises a receiver (705) which receives audio data including audio components and render configuration data including audio transducer position data for a set of audio transducers (703). A renderer (707) generating audio transducer signals for the set of audio transducers from the audio data. The renderer (7010) is capable of rendering audio components in accordance with a plurality of rendering modes. A render controller (709) selects the rendering modes for the renderer (707) from the plurality of rendering modes based on the audio transducer position data. The renderer (707) can employ different rendering modes for different subsets of the set of audio transducers the render controller (709) can independently select rendering modes for each of the different subsets of the set of audio transducers (703). The render controller (709) can select the rendering mode for a first audio transducer of the set of audio transducers (703) in response to a position of the first audio transducer relative to a predetermined position for the audio transducer. The approach may provide improved adaptation, e.g. to scenarios where most speakers are at desired positions whereas a subset deviate from the desired position(s).

In various applications, the system provides a method for processing audio signals, including: receiving a request for audio content; receiving an identifier encoded in a personal audio device comprising a transducer for playing audio; retrieving at least one parameter associated with the identifier; and processing the audio content using at least the request, the identifier and the at least one parameter, wherein the processing is customized for the personal audio device based on the at least one parameter associated with the identifier. In various applications the parameter is, one or more of, associated with a specification of the personal audio device, acoustic metrics of the transducer, relates to control of equalization, relates to permission to enable proprietary sonic processing for enhanced acoustic reception of streaming content, relates to acoustic metrics of the transducer and wherein the identifier is associated with permission to enable proprietary sonic processing for enhanced acoustic reception of streaming content, and/or is stored in a chip on the personal audio device, is retrieved from a server in a network, among other things. In various applications, the personal audio device comprises ear buds and the identifier is stored in a non-volatile memory of the ear buds.

There is provided a method for generating a personalized Head Related Transfer Function (HRTF). The method can include capturing an image of an ear using a portable device, auto-scaling the captured image to determine physical geometries of the ear and obtaining a personalized HRTF based on the determined physical geometries of the ear.

One or more embodiments include an audio processing system for generating an audio scene for an extended reality (XR) environment. The audio processing system determines that a first virtual sound source associated with the XR environment affects a sound in the audio scene. The audio processing system generates a sound component associated with the first virtual sound source based on a contribution of the first virtual sound source to the audio scene. The audio processing system maps the sound component to a first loudspeaker included in a plurality of loudspeakers. The audio processing system outputs at least a first portion of the component for playback on the first loudspeaker.