University of Illinois

Ryan Michael Corey

Andrew Carl Singer

A listening system includes one or more remote signal sources that generate one or more electronic signals, which correspond to sound in an ambient environment. A first ear microphone detects a first combination of audio signals including ambient sound and one or more propagated audio signals, corresponding to the one or more electronic signals, received at a first ear of a listener. The system includes first ear playback device and a processing device to apply a first set of audio filters including an audio filter to process a respective electronic signal of the one or more electronic signals with a first error signal, which is based on an output of the first ear microphone, to generate a first output signal to the first ear playback device, wherein acoustic cue components of the first output signal match corresponding acoustic cue components of the first combination of audio signals.

Adaptive binaural filtering for listening system using remote signal sources and on-ear microphones

A method for separating sound sources includes digitizing acoustic signals from a plurality of sources with a plurality of microphone arrays, wherein each of microphone arrays includes one or more microphones, wherein at least one of the microphone arrays may be asynchronous to another one of the microphone arrays or may be moving with respect to another one of the microphone arrays. Spatial parameters are estimated of the digitized acoustic signals. The method includes estimating time-varying source spectra for the sources from the digitized acoustic signals as a function of the digitized acoustic signals and data received from at least one other microphone array. Source signals are estimated for one or more of the sources by filtering the digitized acoustic data digitized at the respective microphone array using the spatial parameters of the digitized acoustic data and the time-varying source spectra from all or a subset of the microphone arrays.

Separating space-time signals with moving and asynchronous arrays

Methods and apparatus for shaping and filtering quantization errors conjointly in space and time to produce a higher-precision output in a spatially and temporally oversampled array. A space-time error-shaping array system has an array of sensors, each sensor producing a temporal signal comprising quantized waveforms. A multi-input multiple-output (MIMO) discrete-time filter structure with multiple inputs, each coupled to a sensor of the array of sensors, shapes quantization errors of the array of sensors on the basis of temporal aspects of the quantized waveforms conjointly with spatial aspects of the quantized waveforms.

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Glen Ellyn, IL, United States of America

Ryan Michael Corey