Abstract: 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.

Abstract: 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.

Abstract: An apparatus for enhancing a speech signal includes a spectral analysis circuit that generates time-frequency spectra of signals from a microphone array, a signal separation filter, and a hardware processor. The hardware processor identifies a key phrase in the signals and aligns a template of the key phrase to time-frequency spectra of a microphone in the array. A mask is generated from the aligned template and applied to the time-frequency spectra. The masked spectra are used to determine acoustic parameters that, in turn, are used to generate coefficients for configuring the source separation filter which is then used to process the spectra to generate an enhanced speech signal. The apparatus maybe used as a front end for a speech recognition engine, for example.