Earticle

초록

영어

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 attempt-
ing 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 tran-
sition zones based on MRS provides better results compared to classical spectral analysis of
the corpora used.

목차

Abstract
 1. Introduction
 2. History of Tunisian Dialect and its relationship with Arabic and French
 3. Multiresolution FFT
  3.1 The center estimation in the case of the Discrete Fourier Transform (DFT)
  3.2 The center estimation in the case of the MRS FFT
 4. Materials and Methods
  4.1 Corpus
  4.2 VASP Software: Visual Assistance of Speech Processing Software
  4.3 Interquartile Range (IQR)
 5. Experimental Results
  5.1 Multiresolution Spectral Analysis
  5.2 Automatic detection of transition zones
 6. Discussions
 7. Conclusion
 References

키워드

저자

• Nefissa Annabi-Elkadri [ LIPAH, Computer Science Department, Faculty of Sciences of Tunis, Tunis El Manar University, Tunis, Tunisia. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605