Fundamental frequency estimation of voice of patients with laryngeal disorders

Authors:
Petar Mitev;Stefan Hadjitodorov
Affiliations:
Center of Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria;Center of Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria
Venue:
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Spoken language analysis, modeling and recognition-statistical and adaptive connectionist approaches
Year:
2003

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Abstract

The present paper is aimed at the development of new methods of fundamental frequency determination of voiced signal, uttered by patients with severe laryngeal disorders due to various diseases. The necessity to seek new methods is set by the increasing use of acoustic voice analysis as non-invasive technique for supporting diagnosis in laryngeal pathology. The classic methods, which do not take into account the peculiarities of the pathological voice, do not lead to satisfactory results in case of severely distorted periodicity of the signal. Three new methods are proposed in this paper for fundamental frequency determination: autocorrelation method, spectral method, and cepstral method. Comparison with the most commonly used methods is made.