Automatic Recognition of Pathological Phoneme Production | Zendy

Robert Wielgat | Zendy; Tomasz P. Zieliński | Zendy; Tomasz Woźniak | Zendy; Stanisław Grabias | Zendy; Daniel Król | Zendy

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Automatic Recognition of Pathological Phoneme Production

Author(s) -

Robert Wielgat,

Tomasz P. Zieliński,

Tomasz Woźniak,

Stanisław Grabias,

Daniel Król

Publication year - 2008

Publication title -

folia phoniatrica et logopaedica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.327

H-Index - 47

eISSN - 1421-9972

pISSN - 1021-7762

DOI - 10.1159/000170083

Subject(s) - hidden markov model , speech recognition , mel frequency cepstrum , computer science , pronunciation , dynamic time warping , classifier (uml) , pattern recognition (psychology) , artificial intelligence , feature extraction , linguistics , philosophy

Proper diagnosis and therapy of pathological pronunciation of phonemes play an important role in modern logopedics. To enhance the efficiency of diagnosis and therapy an automatic recognition of pathological phoneme pronunciation is addressed in this paper. The authors focus on the therapy of phoneme substitution disorders.

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