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Volumn 11, Issue 1, 2001, Pages 49-63

Neural network based input selection and diagnosis of pathologic voices

Author keywords

Classification; Multilayer feedforward; Neural network; Neural network application; Vocal disorders; Voice orders

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; COMPUTER AIDED DIAGNOSIS; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; MARKOV PROCESSES; PATHOLOGY; REGRESSION ANALYSIS; SELF ORGANIZING MAPS; SPEECH RECOGNITION;

EID: 0035046834     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (34)
  • 4
    • 0005229481 scopus 로고
    • Bill # H.R. 5357, USA Congressional Record, June
    • (1992)
  • 9
    • 1542294732 scopus 로고
    • The validity of using phonatory jitter and shimmer to detect laryngeal pathology
    • Laryngeal function in phonation and respiration, Brown & co, Boston
    • (1987) , pp. 492-508
    • Ludlow, C.1    Bassich, C.2
  • 20
    • 0005186661 scopus 로고
    • Method for evaluation of the noise-to-harmonic component ratios in pathological and normal voices
    • (1990) Acustica , vol.70 , pp. 89-91
    • Yunik, M.1    Boyanov, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.