Abstract: An apparatus can include at least one audio device configured to detect sound. The apparatus can further include processing circuitry to determine presence of a relevant sound relevant to a user of the apparatus based on a user preference or an audio device parameter. The processing circuitry can further, responsive to detecting presence of the relevant sound, provide a control command to a user listening device to command the user listening device to provide the relevant sound to a microphone of the user listening device.

Abstract: Techniques are provided for reduction of echo in a received audio signal based on infinite impulse response (IIR) acoustic echo cancellation in the frequency domain. A methodology implementing the techniques according to an embodiment includes estimating an echo path transfer function associated with the received audio signal. The received audio signal includes a combination of a speech signal and a reference signal modified by the echo path transfer function. The estimation employs an IIR filter and a finite impulse response (FIR) filter, both of which operate in the frequency domain. The IIR filter is configured to model longer term echo components and the FIR filter is configured to model shorter term echo components. The method further includes applying the filters to the reference signal to generate an echo correction signal which is subtracted from the received audio signal to reduce the echo and generate an estimate of the speech signal.

Abstract: Techniques are provided for reduction of noise and nonlinear-echo. A methodology implementing the techniques according to an embodiment includes estimating transfer functions (TFs) of echo paths of audio signals received through a microphone array. The audio signals include speech signal, additive noise, and echo, the TF estimation based on the reference signal. The method also includes cancellation of linear components of the echo, based on the echo path TFs. The method further includes estimating an inverse square root of a covariance matrix of the additive noise, whitening the echo cancelled signals, and estimating a speech path RTF associated with the speech signal, based on the whitened echo cancelled signals. The method further includes performing beamforming on the whitened signals (such as weighted MVDR beamforming), based on the echo path TFs, the speech path RTF, and the estimated inverse square root additive noise covariance matrix.

Abstract: A system, article, and method of acoustic dereverberation factoring the actual non-ideal acoustic environment.

Abstract: Techniques are provided for reduction of echo in a received audio signal based on infinite impulse response (IIR) acoustic echo cancellation in the frequency domain. A methodology implementing the techniques according to an embodiment includes estimating an echo path transfer function associated with the received audio signal. The received audio signal includes a combination of a speech signal and a reference signal modified by the echo path transfer function. The estimation employs an IIR filter and a finite impulse response (FIR) filter, both of which operate in the frequency domain. The IIR filter is configured to model longer term echo components and the FIR filter is configured to model shorter term echo components. The method further includes applying the filters to the reference signal to generate an echo correction signal which is subtracted from the received audio signal to reduce the echo and generate an estimate of the speech signal.

Abstract: A mechanism is described for facilitating context-based cancellation and amplification of acoustical signals in acoustical environments according to one embodiment. An apparatus of embodiments, as described herein, includes detection and recognition logic to detect an acoustical signal being emitted by an acoustical signal source; evaluation, estimation, and footprint logic to classify the acoustical signal as an emergency acoustical signal or a non-emergency acoustical signal, wherein the classification is based on a footprint or a footprint identification (ID) associated with the acoustical signal; acoustical signal cancellation logic to cancel the acoustical signal if the acoustical signal is regarded as the non-emergency acoustical signal based on the footprint or the footprint ID; and acoustical signal amplification logic to amplify the acoustical signal if the acoustical signal is classified as the emergency acoustical signal based on the footprint or the footprint ID.

Abstract: A system, article, and method of acoustic dereverberation factoring the actual non-ideal acoustic environment.

Abstract: Techniques are provided for reduction of noise and nonlinear-echo. A methodology implementing the techniques according to an embodiment includes estimating transfer functions (TFs) of echo paths of audio signals received through a microphone array. The audio signals include speech signal, additive noise, and echo, the TF estimation based on the reference signal. The method also includes cancellation of linear components of the echo, based on the echo path TFs. The method further includes estimating an inverse square root of a covariance matrix of the additive noise, whitening the echo cancelled signals, and estimating a speech path RTF associated with the speech signal, based on the whitened echo cancelled signals. The method further includes performing beamforming on the whitened signals (such as weighted MVDR beamforming), based on the echo path TFs, the speech path RTF, and the estimated inverse square root additive noise covariance matrix.

Abstract: A mechanism is described for facilitating context-based cancellation and amplification of acoustical signals in acoustical environments according to one embodiment. An apparatus of embodiments, as described herein, includes detection and recognition logic to detect an acoustical signal being emitted by an acoustical signal source; evaluation, estimation, and footprint logic to classify the acoustical signal as an emergency acoustical signal or a non-emergency acoustical signal, wherein the classification is based on a footprint or a footprint identification (ID) associated with the acoustical signal; acoustical signal cancellation logic to cancel the acoustical signal if the acoustical signal is regarded as the non-emergency acoustical signal based on the footprint or the footprint ID; and acoustical signal amplification logic to amplify the acoustical signal if the acoustical signal is classified as the emergency acoustical signal based on the footprint or the footprint ID.

Abstract: A system, article, and method of acoustic dereverberation factoring the actual non-ideal acoustic environment.

Abstract: A system, article, and method of acoustic dereverberation factoring the actual non-ideal acoustic environment.