An audio system includes a sound output device, a microphone, and processing circuitry. The microphone is configured to capture environmental audio. The processing circuitry is configured to analyze the environmental audio to identify one or more properties of environmental audio conditions. The processing circuitry is configured to adjust one or more sound presentation parameters based on the one or more properties of the environmental audio conditions to account for the environmental audio conditions. The processing circuitry is configured to operate the sound output device to output audio according to the one or more sound presentation parameters.

An audio system is proposed, dynamically playing optimized audio signals based on user position. A sensor circuits dynamically senses a target space to generate field context information. First speaker and second speaker are arranged for audio playback. A host device recognizes a user from the field context information, determines the user position corresponding to the target space, and adaptively assigns the user position as a target listening spot. A sensor circuit contains a camera capturing an ambient image out of the target space. A recognizer circuit analyzes the ambient image to obtain from the target space, the location, size and acoustic attribute information of an ambient object, allowing the control circuit to accordingly perform an object-based compensation operation on the target listening spot to generate optimized first channel audio signal and second channel audio signal.

The following coding scenario is addressed: A number of audio source signals need to be transmitted or stored for the purpose of mixing wave field synthesis, multi-channel surround, or stereo signals after decoding the source signals. The proposed technique offers significant coding gain when jointly coding the source signals, compared to separately coding them, even when no redundancy is present between the source signals. This is possible by considering statistical properties of the source signals, the properties of mixing techniques, and spatial hearing. The sum of the source signals is transmitted plus the statistical properties of the source signals, which mostly determine the perceptually important spatial cues of the final mixed audio channels. Source signals are recovered at the receiver such that their statistical properties approximate the corresponding properties of the original source signals. Subjective evaluations indicate that high audio quality is achieved by the proposed scheme.

A method for speech equalization, comprising the steps of receiving an input audio signal, processing said input audio signal in dependence on frequency and to providing an equalized electric audio signal according to an equalization function, wherein said equalization function comprises at least an actuator part configured to dynamically applying a compensation filter to the received input signal and dynamically applying a transparent filter to the received input signal, and further transmitting an output signal perceivable by a user as sound representative of said electric acoustic input signal or a processed version thereof.

An audio system is proposed, dynamically playing optimized audio signals based on user position. A sensor circuits dynamically senses a target space to generate field context information. First speaker and second speaker are arranged for audio playback. A host device recognizes a user from the field context information, determines the user position corresponding to the target space, and adaptively assigns the user position as a target listening spot. A sensor circuit contains a camera capturing an ambient image out of the target space. A control circuit utilizes a user interface circuit to perform a configuration procedure which determines location, size and acoustic attribute information of an ambient object, allowing the control circuit to accordingly perform an object-based compensation operation on the target listening spot to generate optimized first channel audio signal and second channel audio signal.

An audio system is proposed, dynamically playing optimized audio signals based on user position. A sensor circuits dynamically senses a target space to generate field context information. First speaker and second speaker are arranged for audio playback. A host device recognizes a user from the field context information, determines the user position corresponding to the target space, and adaptively assigns the user position as a target listening spot. A sensor circuit contains a camera capturing an ambient image out of the target space. A recognizer circuit analyzes the ambient image to obtain from the target space, the location, size, and acoustic attribute information of an ambient object, allowing the control circuit to accordingly perform a channel-based compensation operation on the target listening spot to generate optimized first channel audio signal and second channel audio signal.

A method of processing an audio signal is disclosed. According to embodiments of the method, magnitude response information of a prototype filter is determined. The magnitude response information includes a plurality of gain values, at least one of which includes a first gain corresponding to a first frequency. The magnitude response information of the prototype filter is stored. The magnitude response information of the prototype filter at the first frequency is retrieved. Gains are computed for a plurality of control frequencies based on the retrieved magnitude response information of the prototype filter at the first frequency, and the computed gains are applied to the audio signal.

An audio processing method and system for a seat headrest audio system, the audio system including at least two speakers positioned on opposite sides of the headrest, the method including detecting a position of the user's head and adjusting a first set of parameters of at least one audio processing operation as a function of that position. The method includes determining a user characteristic and/or temporary state of the user, selecting an audio settings profile related to that characteristic, the audio settings profile including a second set of prerecorded audio profile parameters, and adjusting a third set of audio parameters effectively applied to control the audio rendering of each speaker, based on the first and second sets of parameters.

A machine learning model can determine output frequency response at different directions relative to a target audio output format, based on input including frequency response at directions relative to microphones of a capture device. A spatial filter determined based on the output frequency responses is applied to one or more of the microphone signals to map the spatial information from the microphone signals to the target audio output.

Example techniques involve outputting multiple audio channels using a multiple driver playback device. An example playback device receives a first and second channel of audio content. The playback device plays back play back the first channel via a first group of audio transducers such that the first group of audio transducers form, via superposition, a first response lobe having a maximum in a first direction. Further, the playback device plays back the second channel via a second group of audio transducers such that the second group of audio transducers form, via superposition, a second response lobe having a maximum in a second direction that is separated by an angle of at least 45° from the first direction.