English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This study is an extension of our last researches about the detection of transition zones based on multiresolution spectral analysis (MRS). In this paper we present the fourth step for the realization of an automatic system for Tunisian Dialect segmentation and analysis. The MRS is calculated over several Fast Fourier Transforms (FFT) of different length. It can provide a higher temporal accuracy in the upper spectral region and a better frequency resolution in the lower spectral range. We showcase the importance of this tool by attempting to an automatic transition zones detection by calculating the Interquartile Range (IQR) of all frames of the MRS FFT. We applied our Visual Assistance of Speech Processing (VASP) System to a corpus. This corpus was in Tunisian Dialect pronounced by tunisian speakers. The analysis of the obtained results shows that the automatic detection of transition zones based on MRS provides better results compared to classical spectral analysis of the corpora used.

Automatic Detection of Transition Zones in Tunisian Dialect