Recent years have witnessed notable advancements in the areas of speech, speaker and
language/dialect recognition. However, many of the emerging scientific principles appear to …

In this paper, we describe the ASpIRE (Automatic Speech recognition In Reverberant
Environments) challenge, which asked participants to construct automatic speech …

In this paper, we propose two approaches to improve deep neural network (DNN) acoustic
models for speech recognition in reverberant environments. Both methods utilize auxiliary …

Deep neural networks (DNNs) have been successfully applied to many pattern classification
problems, including acoustic modelling for automatic speech recognition (ASR). However …

Robotic audition is a basic sense that helps robots perceive the surroundings and interact
with humans. Sound Source Localization (SSL) is an essential module for a robotic system …

Room reverberation poses various deleterious effects on performance of automatic speech
systems. Speaker identification (SID) performance, in particular, degrades rapidly as …

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 …

This paper proposes a single-channel speech dereverberation method enhancing the
spectrum of the reverberant speech signal. The proposed method uses a non-negative …

Numerous methods for detecting audio splicing have been proposed. Environmental-
signature-based methods are considered to be the most effective forgery detection methods …

Automatic speech recognition (ASR) using distant (far-field) microphones is a challenging
task, in which room reverberation is one of the primary causes of performance degradation …