Voice assessment of speakers with laryngeal cancer by glottal excitation modeling based on a 2-mass model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6836 LNAI, Issue , 2011, Pages 348-355

  Bocklet, Tobias ^a   Nöth, Elmar ^a   Stemmer, Georg ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Glottal excitation; perceptual evaluation; voice modeling

Indexed keywords

AUTOMATIC EVALUATION; AUTOMATIC SPEECH RECOGNITION; DATA-DRIVEN OPTIMIZATION; EVALUATION CRITERIA; EXCITATION SIGNALS; EXTRACTION TECHNOLOGY; GLOTTAL EXCITATION; LARYNGEAL CANCER; MODEL PARAMETERS; PEARSON CORRELATION; PERCEPTUAL EVALUATION; TWO-MASS MODEL; VOCAL FOLDS; VOCAL-TRACTS; WORK FOCUS;

DISEASES; FEATURE EXTRACTION; OPTIMIZATION; PARAMETER ESTIMATION; SPEECH;

SPEECH RECOGNITION;

EID: 80052720981     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23538-2_44     Document Type: Conference Paper

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