In this paper, we present an overview on the topic of noise reduction in the short-time Fourier
transform (STFT) domain. First, we briefly review the conventional literature in the single-and …

This paper proposes the Speech Enhancement via Attention Masking Network (SEAMNET),
a neural network-based end-to-end single-channel speech enhancement system designed …

Within the last three decades research in single-channel speech enhancement has been
mainly focused on filtering the noisy spectral amplitude without that much focus on the …

In single-channel speech enhancement the spectral amplitude of the noisy signal is often
modified while the noisy spectral phase is directly employed for signal reconstruction …

Numerous advanced and lightweight signal processing methods have been presented for
single-channel speech enhancement (SE). It is imperative to carefully explore how to …

We present a new approach for corpus-based speech enhancement that significantly
improves over a method published by Xiao and Nickel in 2010. Corpus-based enhancement …

Speech enhancement is a long standing problem with various applications like hearing aids,
automatic recognition and coding of speech signals. Single channel speech enhancement …

We consider the estimation of the speech short-time spectral amplitude (STSA) using a
parametric Bayesian cost function and speech prior distribution. First, new schemes are …

Bayesian estimation of short-time spectral amplitude is one of the most predominant
approaches for the enhancement of the noise corrupted speech. The performance of these …

Abstract Model-based speech enhancement algorithms that employ trained models, such as
codebooks, hidden Markov models, Gaussian mixture models, etc., containing …