Abstract
This paper presents an automatic method for Silence/Sonorant/Non-Sonorant detection based on multiresolution spectral analysis (MRS) and ANOVA method. Our method is composed of two parts. The first is calculation of the MRS by combining several FFT of different lengths. The second is an automatic Silence/Sonorant/Non-Sonorant detection by calculating a classical statistics method such as Standard Deviation and Mean and a statistical test such as the Analysis of Variance ANOVA of each N frames of the MRS FFT. We used our Visual Assistance of Speech Processing (VASP) System applied to a corpus. This corpus was in French Belgian pronounced by Belgian speakers. The analysis of the obtained results shows that automatic Silence/Sonorant/NonSonorant detection based on MRS provides better results compared to classical spectral analysis of the corpora used. Classifications with ANOVA was better then the classical methods such as Standard Deviation and Mean.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
