According to aspects of the present disclosures, an acoustic signal processing device includes a sound pressure measurement section configured to measure a sound pressure of a sound output from a speaker, a recording level obtaining section configured to obtain a recording level of an audio signal which is a signal representing the sound, and a gain increasing section configured to increase a gain to the audio signal when the sound pressure measured by the sound pressure measurement section is equal to or larger than a first threshold and the recording level obtained by the recording level obtaining section is less than a second threshold.

A pervasive listening method including steps of inserting at least one forced gap in a playback signal (thus generating a modified playback signal), and during playback of the modified playback signal, monitoring non-playback content (e.g., including by generating an estimate of background noise) in a playback environment using output of a microphone in the playback environment. Optionally, the method includes generation of the playback signal, including by processing of (e.g., performing noise compensation on) an input signal using a result (e.g., a background noise estimate) of the monitoring of non-playback content. Other aspects are systems configured to perform any embodiment of the pervasive listening method.

For adjusting speaker volume based on a future noise event, a method identifies, by a first electronic device, a future noise event. The method communicates the noise mitigation alert to a second electronic device. The method further adjusts, by the second electronic device, the speaker volume concurrent with the commencement of the future noise event.

Method to perform dynamic beamforming to reduce SNR in signals captured by head-wearable apparatus starts with microphones generating acoustic signals. Microphones are coupled to first stem of the apparatus and to second stem of the apparatus. First and second beamformers generate first and second beamformer signals, respectively. Noise suppressor attenuates noise content from the first beamformer signal and the second beamformer signal. Noise content from first beamformer signal are acoustic signals not collocated in second beamformer signal and noise content from second beamformer signal are acoustic signals not collocated in first beamformer signal. Speech enhancer generates clean signal comprising speech content from first noise-suppressed signal and second noise-suppressed signal. Speech content are acoustic signals collocated in first beamformer signal and second beamformer signal.

An example method of operation may include initiating an automated tuning procedure, detecting via one or more microphones a sound measurement associated with an output of one or more speakers at two or more locations, determining a number of speech transmission index (STI) values equal to a number of microphones, and averaging the speech transmission index values to identify a single speech transmission index value.

A sound processing device program that enables a sound signal adapted to an intended use to be output is provided. The sound processing device includes a signal processing part that processes a sound signal picked up by a microphone, and generates a recording sound signal to be recorded in a recording device, and generates an amplification sound signal different from the recording sound signal to be output from a speaker. The sound processing device can be applied to, for example, a sound amplification system that performs off-microphone sound amplification.

An acoustic processing device mountable on a vehicle, the acoustic processing device includes: a memory; and a processor coupled to the memory, and when executing a program stored in the memory, performs operations. The operations include: outputting a noise level obtained by subtracting a sound source level from a microphone level; outputting a velocity noise level indicating a frequency characteristic of a noise based on a velocity of the vehicle; outputting a volume sound source level; outputting an SN ratio which is a ratio between the volume sound source level and the velocity noise level; selecting based on the SN ratio, the estimated noise level candidates including a level related to the noise level and the velocity noise level; and outputting a selected one of the estimated noise level candidates as an estimated noise level.

Example techniques facilitate calibration of a playback device. An example implementation involves a computing device capturing, via a microphone, data representing multiple iterations of a calibration sound as played by a playback device. The computing device identifies multiple sections within the captured data. Two or more sections represent respective iterations of the calibration sound as played by the playback device. Based on the multiple identified sections, the computing device determines a frequency response of the playback device, the frequency response of the playback device representing audio output by the playback device and acoustic characteristics of an environment around the playback device. Based on the frequency response of the playback device and a target frequency response, the computing device determines one or more parameters of an audio processing algorithm and sends, to the playback device, the one or more parameters of the audio processing algorithm.

Described herein is an audio device with a microphone which may adapt the audio output volume of a speaker by either increasing or decreasing output volume based on an audio input volume from a user and a distance from the user to the audio device. The audio device may also adapt its output volume to lower the audio output based on detecting one or more interruptions including occupancy and acoustic sounds.

Methods, systems, and apparatuses are described for optimizing user content consuming experience by recognizing and classifying different sounds while a user views a program. The system may have or may access information related to the program audio being presented, enabling it to distinguish between conversations occurring in the program audio and conversations between users in the viewing environment. The system may turn the program volume down on one or more sound producing devices if it detects a conversation. The system may turn the program volume up if it detects an interrupting noise. The system may also adjust the program content based on locations of various objects within the listening or viewing environment, and types of users in the environment.