Earticle

초록

영어

This paper presents an automatic method for detecting transition zones based on multires-
olution spectral analysis (MRS). The MRS is calculated over several Fast Fourier Trans-
forms (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 an automatic detection of zones of transition by
calculating the Interquartile Range (IQR) of each frame of the MRS FFT. We applied our
Visual Assistance of Speech Processing (VASP) System to a corpus. This corpus was in
French pronounced by french speakers and has the format CiV CiV with Ci was a stop con-
sonant [p t k] and V was a vowel [i e]. The results showed that the automatic detection of
transition zones based on MRS provides better results compared to classical spectral analysis
of the corpora used.

목차

Abstract
 1. Introduction
 2 Characteristics of stop consonants
 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 Method
  4.1 Corpus
  4.2 VASP Software: Visual Assistance of Speech Processing Software
  4.3 The interquartile Range (IQR)
 5 Experimental Results
  5.1 Multiresolution Spectral Analysis
  5.2 Automatic detection of transition zones
 6 Discussion
 7 Conclusion
 References

키워드

저자

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