Biamp Systems Corporation

Other

Eugene Goff

Matthew V Kotvis

Samarth Behura

Ray Dippert

Zach Snook

Raymond J Dippert

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.

Measuring speech intelligibility of an audio environment

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.

Audio equalization of audio environment

An example method of operation may include applying a set of initial power and gain parameters for a speaker, playing a stimulus signal via the speaker, determining a sound level at a microphone location and a sound level at a predefined distance from the speakers, determining a gain at the microphone location based on a difference of the sound level at the microphone location and the sound level at the predefined distance from the speaker, and applying the gain to the speaker output.

Analyzing and determining conference audio gain levels

A process may include detecting, via a controller, one or more microphones and one or more speakers in an area, measuring audio performance levels of the one or more microphones and the one or more speakers to identify one or more of a noise floor and a reverberation level, identifying an initial room performance rating based on the audio performance levels, applying optimized speaker tuning levels to the one or more speakers and the one or more microphones, measuring, via the one or more microphones, optimized audio performance levels of the one or more speakers based on the applied optimized speaker tuning levels, and generating a report to identify an optimized room performance rating based on the applied optimized speaker tuning.

Automated audio tuning launch procedure and report

An example may include detecting, via a controller, one or more microphones and one or more speakers in an area, measuring, via the one or more microphones, an initial frequency response of an audio signal generated by the one or more speakers inside the area and generating an initial room performance rating, comparing the initial frequency response to a target frequency response, creating audio compensation values to apply to the one or more speakers based on the comparison, and applying the audio compensation values to the one or more speakers.

Automated audio tuning and compensation procedure

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.

Customized automated audio tuning

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.

Automated tuning by measuring and equalizing speaker output in an audio environment

A user interface control apparatus is disclosed for the control of electronic filter parameters of audio spectrum equalizers, crossovers, and other filter processors. The user interface apparatus comprises five pushbutton keys arranged in a specific cross-shaped pattern. This single arrangement of control keys provides a common user interface control apparatus which can be used to control one or more filter types. Depression of particular keys, or particular combinations of keys can be made to electronically control multiple filter parameters, some simultaneously, and for different filter types depending on the filter type for which the invention is applied. The unique arrangement of the invention's pushbutton keys facilitates an intuitive operation of the various parameters for bell, notch, shelf, and pass-band audio filter types with a minimal number of control elements and minimal control area. The filter parameters of a bell filter that can be controlled include center frequency, amplitude, and bandwidth. The filter parameters of a notch filter that can be controlled include center frequency and bandwidth. The filter parameters of a shelf filter that can be controlled include transition frequency, shelf amplitude, and transition slope. The filter parameters of a pass-band filter that can be controlled include corner frequency, pass-band amplitude, and filter slope. Additionally, the unique arrangement of keys facilitates intuitive control of some filter parameters at two rates of continuous change. Also, the user interface allows control of a graphic equalizer, where the selection of a particular bell filter, or &ldquo;band&rdquo;, can be scanned at two different rates. Finally, the user interface allows the control of the corner frequencies of two adjacent pass-band filters simultaneously, such as in a crossover processor, so as to preserve the combined response of the two filters over the overlapping region.

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Macedon, NY, United States of America

Eugene Goff