Pathological voice quality assessment using artificial neural networks

Medical Engineering and Physics

Volumn 24, Issue 7-8, 2002, Pages 561-564

  Ritchings, R T ^a   McGillion, M ^a   Moore, C J ^b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b CHRISTIE HOSPITAL   (United Kingdom)

Author keywords

Electroarynograph signals; Intelligent systems; Larynx cancer; Neural networks; Voice quality

Indexed keywords

COMPUTER AIDED ANALYSIS; NEURAL NETWORKS; PATHOLOGY; SPEECH ANALYSIS; TUMORS;

VOICE QUALITY ASSESSMENT;

BIOMEDICAL ENGINEERING;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; HUMAN; IMPEDANCE; LARYNX CANCER; MAJOR CLINICAL STUDY; MALE; PHONATION; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SPEECH THERAPY; VOICE;

ACOUSTIC IMPEDANCE TESTS; FEMALE; HUMANS; LARYNGEAL NEOPLASMS; MALE; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPEECH ACOUSTICS; SPEECH DISORDERS; SPEECH PRODUCTION MEASUREMENT; VOICE QUALITY;

EID: 0036753078     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(02)00064-4     Document Type: Article

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