This study investigates voicing properties of Polish, French, American English and German sonorant consonants, particularly rhotics. The analysis was conducted on four speech data...
This paper proposes robust algorithms to deconvolve discrete noised signals and images. The solutions are derived as linear combinations of spline wavelet packets that minimize so...
Amir Averbuch, Valery A. Zheludev, Pekka Neittaanm...
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
This paper presents a pair of identification technique that automatically detect scripts and orientations of document images suffering from various types of document degradation. ...
The accurate estimation of turbulence noise affects many areas of speech processing including separate modification of the noise component, analysis of degree of speech aspiration...