원문정보
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
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