Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …

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 …

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 …

Noise is everywhere and in most applications that are related to audio and speech, such as
human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids …

We introduce a nondiagonal seismic denoising method based on the continuous wavelet
transform with hybrid block thresholding (BT). Parameters for the BT step are adaptively …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

In speech communication systems, such as voice-controlled systems, hands-free mobile
telephones, and hearing aids, the received microphone signals are degraded by room …

Removing noise from audio signals requires a nondiagonal processing of time-frequency
coefficients to avoid producing ldquomusical noise. rdquo State of the art algorithms perform …

We propose a noncausal estimator for the a priori signal-to-noise ratio (SNR), and a
corresponding noncausal speech enhancement algorithm. In contrast to the decision …

Statistical estimators of the magnitude-squared spectrum are derived based on the
assumption that the magnitude-squared spectrum of the noisy speech signal can be …