We prove some formulas relating Cauchy-Riemann operators defined on hypercomplex subspaces of an alternative *-algebra to a differential operator associated with the concept slice-regularity and spherical Dirac operator. These results in particular allow introduce definition locally slice-regular function open path for local slice analysis. Since factor corresponding Laplacian operators, proven...

We propose a running demonstration of coupling between an intermediate processing step (named CASA), based on the harmonicity cue, and partial recognition, implemented with a HMM/ANN multistream technique [2]. The model is able to recognise words corrupted with narrow band noise, either stationary or having variable center frequency. The principle is to identify frame by frame the most noisy su...

A sound classification system for the automatic recognition of the acoustic environment in a hearing instrument is discussed. The system distinguishes the four sound classes ‘clean speech’, ‘speech in noise’, ‘noise’, and ‘music’ and is based on auditory features and hidden Markov models. The employed features describe level fluctuations, the spectral form and harmonicity. Sounds from a large d...

It was generally assumed that weak van der Waals interactions exist between neighboring layers in the two-dimensional group-IV chalcogenides. Using PbSe as a prototypal example, however, we find additional strong coupling Pb-Pb layers, evidenced by detailed analysis of differential charge density. The resembles covalent-like bond and exhibits harmonicity around equilibrium distance, which can b...

In this work, we perform the acoustic analysis of features harmonicity, sonority, duration and intensity each /g/ sound extracted from a sample spontaneous speech corpus collected recordings local television programs in Andalusia, Madrid Basque Country. This consists 1292 utterances, which velar appears on 151 occasions different contexts. These sounds are described categorized thanks to Praat ...

Computational auditory scene analysis (CASA) has significant role in speech segregation from monaural audio mixtures and generally a measure for performance of recognition systems. Pitch estimation substantial CASA This study presents novel pitch framework using cochleagram morphing. The proposed takes the rough target given containing background interferences. Discrete set consisting morphed v...