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- articleJune 2012
Exploring similarity-based classification of larynx disorders from human voice
Speech Communication (SPCO), Volume 54, Issue 5Pages 601–610https://doi.org/10.1016/j.specom.2011.04.004In this paper identification of laryngeal disorders using cepstral parameters of human voice is researched. Mel-frequency cepstral coefficients (MFCCs), extracted from audio recordings of patient's voice, are further approximated, using various ...
- articleMay 2012
Questionnaire- versus voice-based screening for laryngeal disorders
Expert Systems with Applications: An International Journal (EXWA), Volume 39, Issue 6Pages 6254–6262https://doi.org/10.1016/j.eswa.2011.12.037The usefulness of questionnaire and voice data to screen for laryngeal disorders is explored. Answers to 14 questions form a questionnaire data vector. Twenty-three variables computed by the commercial ''Dr.Speech'' software from a digital voice ...