Abstract: An audio signal processing system removes at least a portion of a noise component from a number of audio input signals generated by a number of closely proximate agents within an input signal source location. The availability of each audio input signal and the geographically proximate location of each of the agents creating an audio input signal facilitates the real-time or near real-time reduction in ambient noise level in each of the audio input signals using a Blind Sound Source Separation (BSSS) technique.

Abstract: Techniques are disclosed for scene analysis including the use of acoustic imaging and computer audio vision processes for monitoring applications. In some embodiments, an acoustic image device is utilized with a microphone array, image sensor, acoustic image controller, and a controller. In some cases, the controller analyzes at least a portion of the spatial spectrum within the acoustic image data to detect sound variations by identifying regions of pixels having intensities exceeding a particular threshold. In addition, the controller can detect two or more co-occurring sound events based on the relative distance between pixels with intensities exceeding the threshold.

Abstract: An audio signal processing system removes at least a portion of a noise component from a number of audio input signals generated by a number of closely proximate agents within an input signal source location. The availability of each audio input signal and the geographically proximate location of each of the agents creating an audio input signal facilitates the real-time or near real-time reduction in ambient noise level in each of the audio input signals using a Blind Sound Source Separation (BSSS) technique.

Abstract: Techniques are disclosed for scene analysis including the use of acoustic imaging and computer audio vision processes for monitoring applications. In some embodiments, an acoustic image device is utilized with a microphone array, image sensor, acoustic image controller, and a controller. In some cases, the controller analyzes at least a portion of the spatial spectrum within the acoustic image data to detect sound variations by identifying regions of pixels having intensities exceeding a particular threshold. In addition, the controller can detect two or more co-occurring sound events based on the relative distance between pixels with intensities exceeding the threshold.