Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …

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

This paper addresses the problem of multiple-speaker localization in noisy and reverberant
environments, using binaural recordings of an acoustic scene. A complex-valued Gaussian …

High dimensional data arising from diverse scientific research fields and industrial
development have led to increased interest in sparse learning due to model parsimony and …

Although significant progress has been made in single-talker automatic speech recognition
(ASR), there is still a large performance gap between multi-talker and single-talker speech …

Acoustic reflector localization is an important issue in audio signal processing, with direct
applications in spatial audio, scene reconstruction, and source separation. Several methods …

This paper presents a new method for automatically assessing the speech intelligibility of
patients with dysarthria, which is a motor speech disorder impeding the physical production …

This study investigates sound source localization (SSL) in enclosed space at low
frequencies. Reverberation and noise are important factors that affect localization result …

A microphone positioned far away observes speech signals with little acoustic interference,
in terms of both reverberation and noise. As a result, the quality of blind speech degrades …

Sparse data models are powerful tools for solving ill-posed inverse problems. We present a
regularization framework based on the sparse synthesis and sparse analysis models for …