An audio processing system includes at least one first microphone, at least one adaptive filter, and a processor. The at least one first microphone acquires a first audio signal and outputs a first signal based on the first audio signal. The first audio signal includes at least one of a first audio component generated at a first position and a second audio component generated at a second position different from the first position. The first signal is input to the at least one adaptive filter. The at least one adaptive filter outputs a passing signal based on the first signal. The processor, when executing a program stored in a memory, performs: making a determination of which of the first audio component and the second audio component the first audio signal includes more; and controlling a filter coefficient of the adaptive filter based on a result of the determination.

An audio system for a seat headrest includes N speaker(s), each configured to be integrated into a seat headrest, N being an integer greater than or equal to 1, and an audio processing device including an electronic transmission channel connected to the speaker(s) and configured to transmit at least one audio stream via the speaker(s). The audio system comprises P microphone(s), each configured to be integrated into the headrest, P being an integer greater than or equal to 1. The audio processing device further includes an electronic receiving channel connected to the microphone(s) and configured to receive at least one sound signal via the P microphone(s).

Aspects relate to systems and methods for dynamic active noise reduction including at least a sensor configured to sense a physiological characteristic of a user and transmit a physiological signal correlated to the sensed physiological characteristic, at least an environmental microphone configured to transduce an environmental noise to an environmental noise signal, a processor configured to receive the environmental noise signal, generate a noise-reducing sound signal as a function of the environmental noise signal, and, modify the noise-reducing sound signal as a function of the physiological signal, and a speaker configured to transduce a noise-reducing sound from the modified noise-reducing sound signal.

Embodiments of active noise control (ANC) headphones and operating methods thereof are disclosed herein. In one example, a headphone includes a speaker, an internal microphone, and a processor. The speaker is configured to play an audio of interest based on an audio source signal. The internal microphone is configured to obtain a mixed audio signal including a noise signal and the audio of interest played by the speaker. The processor is configured to determine a first current system parameter of the headphone based on the mixed audio signal at a first time point, and determine if the first current system parameter of the headphone is higher than a predetermined threshold to determine if the headphone is worn by a user.

Systems and methods for selectively providing audio alerts via a speaker device are disclosed herein. A system plays first audio content through a speaker. A microphone captures second audio content comprising an alert Output of the second audio content through the speaker is suppressed by using noise cancellation The system identifies the alert within the second audio content and determines a priority level of the alert. The system determines, based on the priority level, that the alert should be reproduced, and audibly reproduces the alert via the speaker, with the first audio content or instead of the first audio content.

An earbud system for reducing noise is disclosed. The earbud system comprises an analog to digital converter to convert analog audio signals of a sound captured by one or more sound sensors into digital audio signals, and one or more processors to filter one or more raw bits with a specific frequency band from the digital audio signals to obtain filtered digital audio signals and extract human audible frequency bands from the filtered digital audio signals. The processors predict and/or classify, using an artificial intelligence based mechanism, the extracted human audible frequency bands into ambient noise corresponding to a first set of frequencies and desired sound, to be heard by the user, corresponding to a second set of frequencies. The processors further generate anti-phase signals for a first set of frequencies to reduce noise, and audible phase signals for the second set of frequencies.

A system for adjusting volume and ambient sounds in an earphone device with Active Noise Cancelling (ANC) functionality, implemented using a microphone and a signal processor, wherein a signal mixer is configured to, in response to detecting a rotation of a first dial connected to the earphone device, adjust the proportions between a group of signals in a mixed signal generated for the speaker of the earphone device, and thereby enabling precise and intuitive control of both playback volume and ambient sound processing.

An audio device capable of inhibiting malfunction of an information terminal is provided. The audio device includes a sound sensor portion, a sound separation portion, a sound determination portion, and a processing portion. The sound sensor portion has a function of sensing sound. The sound separation portion has a function of separating the sound sensed by the sound sensor portion into a voice and sound other than a voice. The sound determination portion has a function of storing the feature quantity of the sound. The sound determination portion has a function of determining, with a machine learning model such as a neural network model, whether the feature quantity of the voice separated by the sound separation portion is the stored feature quantity. The processing portion has a function of analyzing an instruction contained in the voice and generating an instruction signal representing the content of the instruction in the case where the feature quantity of the voice is the stored feature quantity. The processing portion has a function of performing, on the sound other than a voice separated by the sound separation portion, processing for canceling the sound other than a voice. Specifically, the processing portion has a function of performing, on the sound other than a voice, processing for inverting the phase thereof.

According to one embodiment, a method, computer system, and computer program product for allowing selective sounds within a noise cancellation headset. The embodiment may include receiving a sound from a noise-filled environment. A source of the sound is a machine within the noise-filled environment. The embodiment may include determining that the sound is indicative of a problem within the noise-filled environment. The embodiment may include identifying a severity of the problem. The embodiment may include identifying a user within a boundary range of the problem. The boundary range is based, in part, on the severity of the problem. The user is wearing a noise cancellation headset which is actively cancelling sounds of the noise-filled environment. The embodiment may include allowing the sound to be heard within the noise cancellation headsets of the identified user.

Technology described in this document can be embodied in an earpiece of an active noise reduction (ANR) device. The earpiece includes a plurality of microphones, wherein each of the plurality of microphones is usable for capturing ambient audio to generate input signals for both an ANR mode of operation and a hear-through mode of operation of the ANR device. The earpiece further includes a controller configured to: process a first subset of microphones from the plurality of microphones to generate input signals for the ANR mode of operation, process a second subset of microphones from the plurality of microphones to generate input signals for the hear-through mode of operation, detect that a particular microphone of the second subset is acoustically coupled to an acoustic transducer of the ANR device in the hear-through mode of operation, and in response to the detection, process the input signals from the second subset of microphones without using input signals from the particular microphone.