Noise compensation method comprising: (a) receiving a content stream including content audio data; (b) receiving first microphone signals from a first device; (c) detecting ambient noise from a noise source location in or near the audio environment; (d) causing a first wireless signal to be transmitted from the first device to a second device, the first wireless signal including instructions for the second device to record an audio segment (e) receiving a second wireless signal from the second device; (f) determining a content stream audio segment time interval for a content stream audio segment; (g) receiving a third wireless signal from the second device, including a recorded audio segment captured via a second device microphone; (h) determining a second device ambient noise signal at the second device location; and (i) implementing a noise compensation method for the content audio data based, at least in part, on the second device ambient noise signal.

Systems and methods for optimizing network microphone devices using noise classification are disclosed herein. In one example, individual microphones of a network microphone device (NMD) detect sound. The sound data is analyzed to detect a trigger event such as a wake word. Metadata associated with the sound data is captured in a lookback buffer of the NMD. After detecting the trigger event, the metadata is analyzed to classify noise in the sound data. Based on the classified noise, at least one performance parameter of the NMD is modified.

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.

A noise reduction device and method comprises: at least one sound pickup microphone module for picking up sound from a medium to generate a noise pickup signal; at least one speaker driver for transmitting, to the medium, a vibration corresponding to a noise cancellation signal generated on the basis of the noise pickup signal; and a controller for generating the noise cancellation signal on the basis of the noise pickup signal.

A control device is a control device for controlling a plurality of receiver devices for receiving a sound signal transmitted from a wireless microphone by radio, the control device includes an information acquisition part that acquires quality information indicating a quality of the sound signal received by the plurality of receiver devices, and a determination part that determines, on the basis of the quality of the sound signal indicated by the quality information, a non-output receiver device that does not cause a speaker to output the sound based on the sound signal out of the plurality of receiver devices.

Systems and methods configured to employ a beamforming microphone array to determine a noise field map of a conferencing environment and modify operation of the beamforming microphone array responsive to the determined noise field map.

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.

An example method of operation may include determining a frequency response to a measured chirp signal detected from one or more speakers, determining an average value of the frequency response based on a high limit value and a low limit value, subtracting a measured response from a target response, and the target response is based on one or more filter frequencies; determining a frequency limited target filter with audible parameters based on the subtraction, and applying an infinite impulse response (IIR) biquad filter based on an area defined by the frequency limited target filter to equalize the frequency response of the one or more speakers.

An example method of operation may include identifying speakers and microphones connected to a network controlled by a controller, assigning a preliminary output gain to the speakers used to apply test signals, measuring ambient noise detected from the microphones, recording chirp responses from all microphones simultaneously based on the test signals, deconvolving all chirp responses to determine a corresponding number of impulse responses, and measuring average sound pressure levels (SPLs) of each of the microphones to obtain a SPL level based on an average of the SPLs.

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.