Adaptive filtering algorithms are pervasive throughout signal processing and have had a
material impact on a wide variety of domains including audio processing …

This paper proposes a novel approach to reducing the word error rate (WER) of an
automatic speech recognition (ASR) system in a noisy reverberant room. This research …

In the last decades several multi-microphone speech dereverberation algorithms have been
proposed, among which the weighted prediction error (WPE) algorithm. In the WPE …

This paper proposes a novel approach for improving the speech of a single speaker in noisy
reverberant environments. The proposed approach is based on using a beamformer with a …

Reverberation can severely degrade the quality of speech signals recorded using
microphones in an enclosure. In acoustic sensor networks with spatially distributed …

We study the prediction with expert advice setting, where the aim is to produce a decision by
combining the decisions generated by a set of experts, eg, independently running …

Adaptive filtering algorithms form a cornerstone of intelligent signal processing infrastructure
and play a vital role in a wide array of applications, including telecommunications …

Room reverberation usually produces adverse influence on the quality of speech in human-
machine interaction scenarios. To improve the clarity and intelligibility of reverberant …

ANC systems have emerged as the most widely adopted technologies in voice
communications. This paper purpose a comparison between the adaptive approaches in …

Speech signals collected by receivers in speech communication applications contain
reverberation and additive sounds in addition to the intended speech signals. This audio …