Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …

The objective of this paper is threefold:(1) to provide an extensive review of signal subspace
speech enhancement,(2) to derive an upper bound for the performance of these techniques …

The first book to provide comprehensive and up-to-date coverage of all major speech
enhancement algorithms proposed in the last two decades, Speech Enhancement: Theory …

Making meaningful comparisons between the performance of the various speech
enhancement algorithms proposed over the years has been elusive due to lack of a …

The articulation index (AI), speech-transmission index (STI), and coherence-based
intelligibility metrics have been evaluated primarily in steady-state noisy conditions and …

Several contributions have been made so far to develop optimal multichannel linear filtering
approaches and show their ability to reduce the acoustic noise. However, there has not …

The evaluation of intelligibility of noise reduction algorithms is reported. IEEE sentences and
consonants were corrupted by four types of noise including babble, car, street and train at …

Noise statistics estimation is a paramount issue in the design of reliable noise-reduction
algorithms. Although significant efforts have been devoted to this problem in the literature …

Recently, deep neural networks (DNNs) have become the mainstream strategy for speech
enhancement task because it can achieve the higher speech quality and intelligibility than …

Most of the existing intelligibility measures do not account for the distortions present in
processed speech, such as those introduced by speech-enhancement algorithms. In the …