tailieunhanh - Báo cáo hóa học: "Research Article Back-and-Forth Methodology for Objective Voice Quality Assessment: From/to Expert Knowledge to/from Automatic Classification of Dysphonia"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Back-and-Forth Methodology for Objective Voice Quality Assessment: From/to Expert Knowledge to/from Automatic Classification of Dysphonia | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 982102 13 pages doi 2009 982102 Research Article Back-and-Forth Methodology for Objective Voice Quality Assessment From to Expert Knowledge to from Automatic Classification of Dysphonia Corinne Fredouille 1 Gilles Pouchoulin 1 Alain Ghio 2 Joana Revis 2 Jean-Francois Bonastre 1 and Antoine Giovanni2 1 Laboratoire Informatique d Avignon LIA University of Avignon 84911 Avignon France 2LPL-CNRS Aix-Marseille University 13604 Aix-en-Provence France Correspondence should be addressed to Corinne Fredouille Received 31 October 2008 Revised 1 April 2009 Accepted 10 June 2009 Recommended by Juan I. Godino-Llorente This paper addresses voice disorder assessment. It proposes an original back-and-forth methodology involving an automatic classification system as well as knowledge of the human experts machine learning experts phoneticians and pathologists . The goal of this methodology is to bring a better understanding of acoustic phenomena related to dysphonia. The automatic system was validated on a dysphonic corpus 80 female voices rated according to the GRBAS perceptual scale by an expert jury. Firstly focused on the frequency domain the classification system showed the interest of 0-3000 Hz frequency band for the classification task based on the GRBAS scale. Later an automatic phonemic analysis underlined the significance of consonants and more surprisingly of unvoiced consonants for the same classification task. Submitted to the human experts these observations led to a manual analysis of unvoiced plosives which highlighted a lengthening of VOT according to the dysphonia severity validated by a preliminary statistical analysis. Copyright 2009 Corinne Fredouille et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any .