H04R2227/001

Customized automated audio tuning

An example method of operation may include identifying, in a particular room environment, a number of speakers and one or more microphones on a network controlled by a controller and amplifier, providing test signals to play sequentially from each amplifier channel of the amplifier and the speakers, monitoring the test signals from the one or more microphones simultaneously to detect operational speakers and amplifier channels, providing additional test signals to the speakers to determine tuning parameters, detecting the additional test signals at the one or more microphones controlled by the controller, and automatically establishing a background noise level and noise spectrum of the room environment based on the detected additional test signals.

Playback Device Configuration
20230232175 · 2023-07-20 ·

Examples described herein involve configuring a playback device based on distortion, such as that caused by a barrier. One implementation may involve causing the playback device to play audio content according to an existing playback configuration, determining an existing frequency response of the playback device in a given system, and determining whether a difference between the existing frequency response of the playback device in the given system and a predetermined frequency response for the playback device is greater than a predetermined distortion threshold. If it is determined that the difference between the existing frequency response of the playback device and the predetermined frequency response for the playback device is greater than the predetermined distortion threshold, then the existing playback configuration of the playback device is changed to an updated playback configuration of the playback device and the playback device plays audio content according to the updated playback configuration.

A SOUND OUTPUT UNIT AND A METHOD OF OPERATING IT

A system and a method for outputting sound where one or more first sound outputting units are identified and other, second, sound outputting units define a sound delay in accordance with the relative positions between each sound outputting unit and the first sound outputting unit(s). Microphones may be added to e.g. determine the amount and positions of persons.

The system may also use Intelligent cameras to determine number of people their position the room face direction and age distribution in order optimize audio level and equalisation of the frequency response—like in a church with many elder people or in a young audience at a live concert.

Dynamic Latency Estimation for Audio Streams
20230020399 · 2023-01-19 ·

Systems and methods for packet dynamic latency estimation for audio streams may include, for example, capturing a first audio signal using a microphone of a computing device; receiving a second audio signal at the computing device via wireless communications from an access point; determining a set of estimates of a delay of the first audio signal relative to the second audio signal based on a cross-correlation at respective analysis steps within the first audio signal and the second audio signal; determining an average delay and a confidence interval for the set of estimates of the delay; comparing the confidence interval to a threshold duration; and, responsive to the confidence interval being less than the threshold duration, playing, using a speaker controlled by the computing device, an audio signal received from the access point with an added delay determined based on the average delay.

OPTIMIZATION OF NETWORK MICROPHONE DEVICES USING NOISE CLASSIFICATION
20230217165 · 2023-07-06 ·

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.

Multi-frequency sensing system with improved smart glasses and devices
11544036 · 2023-01-03 · ·

The systems and methods described relate to the concept that smart devices can be used to: sense various types of phenomena like sound, blue light exposure, RF and microwave radiation, and, in real-time, analyze, report and/or control outputs (e.g., displays or speakers). The systems are configurable and use standard computing devices, such as wearable electronics (e.g., smart glasses), tablet computers, and mobile phones to measure various frequency bands across multiple points, allowing a single user to visualize and/or adjust environmental conditions.

Playback device self-calibration
11540073 · 2022-12-27 · ·

Examples described herein involve configuring a playback device based on distortion, such as that caused by a barrier. One implementation may involve causing the playback device to play audio content according to an existing playback configuration, determining an existing frequency response of the playback device in a given system, and determining whether a difference between the existing frequency response of the playback device in the given system and a predetermined frequency response for the playback device is greater than a predetermined distortion threshold. If it is determined that the difference between the existing frequency response of the playback device and the predetermined frequency response for the playback device is greater than the predetermined distortion threshold, then the existing playback configuration of the playback device is changed to an updated playback configuration of the playback device and the playback device plays audio content according to the updated playback configuration.

CONTENT AND ENVIRONMENTALLY AWARE ENVIRONMENTAL NOISE COMPENSATION

Some implementations involve receiving a content stream that includes audio data, determining a content type corresponding to the content stream and determining, based at least in part on the Receiving, by a control system and via an interface system, a content stream that includes audio data content type, a noise compensation method. Some examples involve performing the noise compensation method on the audio data to produce noise-compensated audio data, rendering the noise-compensated audio data for reproduction via a set of audio reproduction transducers of the audio environment, to produce rendered audio signals, and providing the rendered audio signals to at least some audio reproduction transducers of the audio environment.

AUTOMATIC VOLUME ADJUSTMENT METHOD AND APPARATUS, MEDIUM, AND DEVICE
20220391163 · 2022-12-08 ·

The present disclosure relates to an automatic volume adjustment method and apparatus, a medium, and a device, which belong to the field of computer technologies, and can adjust the playback volume of audio or video. The automatic volume adjustment method includes: acquiring, in a case that a terminal does not output loudspeaker sound, a noise signal outside the terminal; determining noise energy based on the noise signal; and adjusting playback volume of audio or video on the terminal based on the noise energy.

SYSTEM AND METHOD FOR AUTOMATICALLY TUNING DIGITAL SIGNAL PROCESSING CONFIGURATIONS FOR AN AUDIO SYSTEM
20220386025 · 2022-12-01 ·

Embodiments include a processing device communicatively coupled to a plurality of audio devices comprising at least one microphone and at least one speaker, and to a digital signal processing (DSP) component having a plurality of audio input channels for receiving audio signals captured by the at least one microphone, the processing device being configured to identify one or more of the audio devices based on a unique identifier associated with each of said one or more audio devices; obtain device information from each identified audio device; and adjust one or more settings of the DSP component based on the device information. A computer-implemented method of automatically configuring an audio conferencing system, comprising a digital signal processing (DSP) component and a plurality of audio devices including at least one speaker and at least one microphone, is also provided.