Earticle

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.

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.