Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
LOG-SPECTRAL AMPLITUDE ESTIMATION WITH GENERALIZED GAMMA DISTRIBUTIONS FOR SPEECH ENHANCEMENT
 

Summary: LOG-SPECTRAL AMPLITUDE ESTIMATION WITH GENERALIZED GAMMA
DISTRIBUTIONS FOR SPEECH ENHANCEMENT
Bengt J. Borgstršom and Abeer Alwan
University of California, Los Angeles
Department of Electrical Engineering
ABSTRACT
This paper presents a family of log-spectral amplitude (LSA) es-
timators for speech enhancement. Generalized Gamma distributed
(GGD) priors are assumed for speech short-time spectral amplitudes
(STSAs), providing mathematical flexibility in capturing the sta-
tistical behavior of speech. Although solutions are not obtainable
in closed-form, estimators are expressed as limits, and can be effi-
ciently approximated. When applied to the Noizeus database [8],
proposed estimators are shown to provide improvements in segmen-
tal signal-to-noise ratio (SSNR) and COSH distance [14], relative to
the LSA estimator proposed by Ephraim and Malah [2].
Index Terms-- Speech Enhancement, Log-spectral Amplitude
Estimator, Generalized Gamma Distribution.
1. INTRODUCTION
Single-channel speech enhancement aims to minimize the effect of

  

Source: Alwan, Abeer - Electrical Engineering Department, University of California at Los Angeles

 

Collections: Computer Technologies and Information Sciences