We have presented a novel Gaussian scale mixture model for speech signal and derived two methods for speech enhancement: the Laplace method and a variational ...
This results in a Gaussian scale mixture model (GSMM) for the speech signal in the frequency domain, since the log-spectra can be regarded as scaling factors.
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic ...
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic ...
In speech enhancement, Gaussian Mixture Models (GMMs) can be used to model the Probability Density Function (PDF) of the Periodograms of speech and ...
Abstract: Gaussian Mixture Models (GMMs) of power spectral densities of speech and noise are used with explicit Bayesian estimations in Wiener filtering of ...
A new and effective algorithm is proposed in this paper based on Gaussian Mixture Modeling (GMM) and Minimum Mean Square Error (MMSE) criterion for speech ...
People also ask
What is the Gaussian mixture model for speech?
What is the Gaussian mixture model used for?
What are the algorithms for speech enhancement?
What is Gaussian mixture model for audio classification?
In this paper we propose a novel method of speech quality assessment based on Gaussian mixture models. First a large pool of feature measurements is created ...
We present a speech enhancement system based on Gaussian mixture modeling in the sub-band log-power domain of the observed noisy speech.
Missing: Scale | Show results with:Scale
We base our approach on a statistical speaker-modeling technique that represents the underlying characteristic sounds ofa person's voice. Using these models, we.