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 …

In this paper, we present an optimally-modified log-spectral amplitude (OM-LSA) speech
estimator and a minima controlled recursive averaging (MCRA) noise estimation approach …

DIGITAL SPEECH TRANSMISSION AND ENHANCEMENT Enables readers to understand
the latest developments in speech enhancement/transmission due to advances in …

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 …

We present an optimally modified log-spectral amplitude estimator, which minimizes the
mean-square error of the log-spectra for speech signals under signal presence uncertainty …

The paper developed a reasonable and practical method for identifying the useful
information from the signal that has been contaminated by noise, so that to provide a …

While standard approaches for acoustic echo cancellation in telecommunication systems
assume that the echo path to be identified can be modeled by a linear system, in practice …

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 …

From an investigation of a statistical model-based voice activity detector (VAD), it is found
that the likelihood ratio defined in the VAD has a fundamental problem at the offset regions …

This paper proposes/spl beta/-order minimum mean-square error (MMSE) speech
enhancement approach for estimating the short time spectral amplitude (STSA) of a speech …