Artificial neural network analysis to assess hypernasality in patients treated for oral or oropharyngeal cancer

Logopedics Phoniatrics Vocology

Volumn 36, Issue 4, 2011, Pages 168-174

  De Bruijn, Marieke ^a   Ten Bosch, Louis ^b   Kuik, Dirk J ^a   Langendijk, Johannes A ^c   Leemans, C René ^a   Leeuw, Irma Verdonck De ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

Author keywords

Articulation; artificial neural network; feature analysis; head and neck cancer; hypernasality; objective speech rating; oral cancer; reconstructive surgery; speech quality; vowels

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CASE CONTROL STUDY; FEASIBILITY STUDY; FEMALE; HUMAN; MALE; MIDDLE AGED; MOUTH TUMOR; NETHERLANDS; OROPHARYNX TUMOR; PATHOPHYSIOLOGY; PHONATION; PHONETICS; SIGNAL PROCESSING; SOUND DETECTION; SPEECH ANALYSIS; SPEECH INTELLIGIBILITY; TREATMENT OUTCOME; VOICE;

ADULT; AGED; CASE-CONTROL STUDIES; FEASIBILITY STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MOUTH NEOPLASMS; NETHERLANDS; NEURAL NETWORKS (COMPUTER); OROPHARYNGEAL NEOPLASMS; PHONATION; PHONETICS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY; SPEECH INTELLIGIBILITY; SPEECH PRODUCTION MEASUREMENT; TREATMENT OUTCOME; VOICE QUALITY; YOUNG ADULT;

EID: 82255196096     PISSN: 14015439     EISSN: 16512022     Source Type: Journal    
DOI: 10.3109/14015439.2011.606227     Document Type: Article

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