The estimation of the time-and frequency-dependent coherent-to-diffuse power ratio (CDR)
from the measured spatial coherence between two omnidirectional microphones is …

Quality of experience (QoE) assessment occupies a key role in various multimedia networks
and applications. Recently, large efforts have been devoted to devise objective QoE metrics …

Many signal processing algorithms have been proposed to improve the quality of speech
recorded in the presence of noise and reverberation. Perceptual measures, ie, listening …

Multichannel linear prediction-based dereverberation in the short-time Fourier transform
(STFT) domain has been shown to be highly effective. Using this framework, the desired …

This paper proposes an online single-channel speech enhancement method designed to
improve the quality of speech degraded by reverberation and noise. Based on an …

Training of speech enhancement systems often does not incorporate knowledge of human
perception and thus can lead to unnatural sounding results. Incorporating …

This paper presents an unsupervised method for single-channel blind dereverberation and
room impulse response (RIR) estimation, called BUDDy. The algorithm is rooted in Bayesian …

This paper presents two single-channel speech dereverberation methods to enhance the
quality of speech signals that have been recorded in an enclosed space. For both methods …

This paper proposes neural models to predict Speech Intelligibility (SI), both by prediction of
established SI metrics and of human speech recognition (HSR) on the 1st Clarity Prediction …

Speech dereverberation is often an important re-quirement in robust speech processing
tasks. Supervised deep learning (DL) models give state-of-the-art performance for single …