Abstract / truncated to 115 words (read the full abstract)

Among all the biomedical signals, speech is among the most complex ones since it is produced and received by humans. The extraction and the analysis of the information conveyed by this signal are the basis of many applications, including the topics discussed in this thesis: the estimation of the glottal source and the automatic detection of voice pathologies. In the first part of the thesis, after a presentation of existing methods for the estimation of the glottal source, a focus is made on the occurence of irregular glottal source estimations when the representation based on the Zeros of the Z-Transform (ZZT) is concerned. As this method is sensitive to the location of the analysis window, ... toggle 8 keywords

speech signal glottal source estimation zeros of the z-transform voice pathology detection features selection mutual information gaussian mixture models

Information

Author
Dubuisson, Thomas
Institution
University of Mons
Supervisor
Publication Year
2011
Upload Date
June 27, 2011

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