Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for controlling functions of an audio responsive electronic device based on a presence detector (e.g., a motion sensor) to improve power usage and functional performance. In some embodiments, an audio responsive electronic device operates to intelligently turn on and turn off components in response to the detected presence of a user. In some embodiments, an audio responsive electronic device operates to suppress noise from the display device (or other sources of noise), and enhance audio commands from a user (or other sources of audio commands). In some embodiments, a media device is configured to adjust a transmission pattern to an audio responsive electronic device based on user position.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for controlling functions of an audio responsive electronic device based on a presence detector (e.g., a motion sensor) to improve power usage and functional performance. In some embodiments, an audio responsive electronic device operates to intelligently turn on and turn off components in response to the detected presence of a user. In some embodiments, an audio responsive electronic device operates to suppress noise from the display device (or other sources of noise), and enhance audio commands from a user (or other sources of audio commands). In some embodiments, a media device is configured to adjust a transmission pattern to an audio responsive electronic device based on user position.

The present invention includes methods, circuits, devices, systems and associated computer executable code for acquiring, processing and rendering acoustic signals. According to some embodiments, one or more direction specific audio signals may be generated using a microphone array comprising two or more microphones and an audio stream generator. The audio stream generator may receive a direction parameter from an optical tracking system. There may be provided an audio rendering system adapted to normalize and/or balance acoustic signals acquired from a soundscape.

In accordance with embodiments of the present disclosure, a method for detecting near-field sources in an audio device may include computing a normalized cross correlation function between a first microphone signal and a second microphone signal, computing normalized auto correlation functions of each of the first microphone signal and the second microphone signal, partitioning the normalized cross correlation function and the normalized auto correlation functions into a plurality of time lag regions, computing for each respective time lag region of the plurality of the time lag regions a respective maximum deviation between the normalized cross correlation function and a normalized auto correlation function within the respective time lag region, combining the respective maximum deviations from the plurality of time lag regions to derive multiple detection statistics, and comparing each detection statistic of the multiple detection statistics to a respective threshold to detect a near-field signal.

In accordance with embodiments of the present disclosure, a method for detecting near-field sources in an audio device may include computing a normalized cross correlation function between a first microphone signal and a second microphone signal, computing normalized auto correlation functions of each of the first microphone signal and the second microphone signal, partitioning the normalized cross correlation function and the normalized auto correlation functions into a plurality of time lag regions, computing for each respective time lag region of the plurality of the time lag regions a respective maximum deviation between the normalized cross correlation function and a normalized auto correlation function within the respective time lag region, combining the respective maximum deviations from the plurality of time lag regions to derive multiple detection statistics, and comparing each detection statistic of the multiple detection statistics to a respective threshold to detect a near-field signal.

Provided is a source localization in an apparatus for performing a source localization, a target sound source enhancement or speech recognition. The source localization method using input signals input from a plurality of microphones, comprising steps of: (a) obtaining a log likelihood function or an auxiliary function under the assumption that a target source signal mixed with noises satisfies a CGMM model; (b) obtaining an equation for estimating parameter values of the log likelihood function or the auxiliary function so that a value of the log likelihood function or the auxiliary function is maximized recursively in each time frame; (c) estimating a covariance matrix recursively in each time frame; and (d) estimating a steering vector recursively by using the estimated covariance matrix, wherein the steering vector of the target sound source is estimated from the input signals.

An optical microphone arrangement comprises: an array of optical microphones (4) on a substrate (8), each of said optical microphones FIG. 2 (4) providing a signal indicative of displacement of a respective membrane (24) as a result of an incoming audible sound; at first processor (12) arranged to receive said signals from said optical microphones (4) and to perform a first processing step on said signals to produce a first output; and a second processor (14) arranged to receive at least one of said signals or said first output; wherein at least said second processor (14) determines presence of at least one element of human speech from said audible sound.

An optical microphone arrangement comprises: an array of optical microphones (4) on a substrate (8), each of said optical microphones FIG. 2 (4) providing a signal indicative of displacement of a respective membrane (24) as a result of an incoming audible sound; at first processor (12) arranged to receive said signals from said optical microphones (4) and to perform a first processing step on said signals to produce a first output; and a second processor (14) arranged to receive at least one of said signals or said first output; wherein at least said second processor (14) determines presence of at least one element of human speech from said audible sound.

A method and system for locating a sound source are provide. The method may include detecting a sound signal of a sound by each of two audio sensors. The method may also include converting the sound signals detected by the two audio sensors from a time domain to a frequency domain. The method may further include determining a high frequency ratio of each of the sound signals in the frequency domain. The method may further include determining a direction of the sound source based on the high frequency ratios.

This wave source direction estimation apparatus is capable of highly accurately estimating the direction of a wave source even in an environment with a high surrounding noise level, and is provided with: a plurality of input signal acquisition means for acquiring signals generated at a wave source as input signals; a correlation function calculation means for calculating correlation functions on the basis of the input signals acquired by the input signal acquisition means; an envelope function extraction means for extracting envelope functions on the basis of the calculated correlation functions; a combined envelope function calculation means for calculating a combined envelope function by combining the extracted envelope functions; and an estimated direction information generation means for generating estimated direction information about the wave source on the basis of the calculated combined envelope function.