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 …

In this letter, we introduce a minima controlled recursive averaging (MCRA) approach for
noise estimation. The noise estimate is given by averaging past spectral power values and …

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 …

In this paper, we propose a statistical model for speech enhancement that takes into account
the time-correlation between successive speech spectral components. It retains the …

This contribution presents two spectral amplitude estimators for acoustical background noise
suppression based on maximum a posteriori estimation and super-Gaussian statistical …

Noise spectrum estimation is a fundamental component of speech enhancement and
speech recognition systems. We present an improved minima controlled recursive …

In this paper, we present a new technique for the estimation of short-term linear predictive
parameters of speech and noise from noisy data and their subsequent use in waveform …

A noise-estimation algorithm is proposed for highly non-stationary noise environments. The
noise estimate is updated by averaging the noisy speech power spectrum using time and …

In this paper, we present a simultaneous detection and estimation approach for speech
enhancement. A detector for speech presence in the short-time Fourier transform domain is …

This paper focuses on the class of speech enhancement systems which capitalize on the
major importance of the short-time spectral amplitude (STSA) of the speech signal in its …