Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Voice assistants such as Amazon Echo (Alexa) and Google Home use microphone arrays to
estimate the angle of arrival (AoA) of the human voice. This paper focuses on adding user …

We study the multi-channel sparse blind deconvolution (MCS-BD) problem, whose task is to
simultaneously recover a kernel $\mathbf a $ and multiple sparse inputs $\{\mathbf x_i\} _ {i …

Localization of early room reflections can be achieved by estimating the time-differences-of-
arrival (TDOAs) of reflected waves between elements of a microphone array. For an …

Relative impulse responses between microphones are usually long and dense due to the
reverberant acoustic environment. Estimating them from short and noisy recordings poses a …

We consider the problem of blind sparse deconvolution, which is common in both image and
signal processing. To counter-balance the ill-posedness of the problem, many approaches …

The construction of sensing matrix is a fundamental issue in compressed sensing (CS). This
paper introduces a new deterministic construction, referred to as Toeplitzed structurally …

This paper presents a novel method to solve for the challenging problem of acoustic Room
Impulse Response estimation (RIR). The approach formulates the RIR estimation as a Blind …

We propose to acquire large sets of room impulse responses (RIRs) by simultaneously
playing known source signals on multiple loudspeakers. We then estimate the RIRs via a …

An extracted noise signal provides important information for subsequent enhancement of a
target signal. When the target's position is fixed, the noise extractor could be a target …