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This paper presents an automatic method for detecting transition zones based on Multi Resolution 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. The authors showcase the importance of this tool by attempting an automatic detection of zones of transition by calculating the Inter Quartile Range (IQR) of each frame of the MRS FFT. They applied their Visual Assistance of Speech Processing (VASP) System to a corpus.
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