Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech
Author
Caballero-Morales, Santiago-Omar
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-08
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Dysarthria is a frequently occurring motor speech disorder which can be caused by neurological trauma, cerebral palsy, or degenerative neurological diseases.
Because dysarthria affects phonation, articulation, and prosody, spoken communication of dysarthric speakers gets seriously restricted, affecting their quality of life and confidence.
Assistive technology has led to the development of speech applications to improve the spoken communication of dysarthric speakers.
In this field, this paper presents an approach to improve the accuracy of HMM-based speech recognition systems.
Because phonatory dysfunction is a main characteristic of dysarthric speech, the phonemes of a dysarthric speaker are affected at different levels.
Thus, the approach consists in finding the most suitable type of HMM topology (Bakis, Ergodic) for each phoneme in the speaker’s phonetic repertoire.
The topology is further refined with a suitable number of states and Gaussian mixture components for acoustic modelling.
This represents a difference when compared with studies where a single topology is assumed for all phonemes.
Finding the suitable parameters (topology and mixtures components) is performed with a Genetic Algorithm (GA).
Experiments with a well-known dysarthric speech database showed statistically significant improvements of the proposed approach when compared with the single topology approach, even for speakers with severe dysarthria.
American Psychological Association (APA)
Caballero-Morales, Santiago-Omar. 2013. Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-461453
Modern Language Association (MLA)
Caballero-Morales, Santiago-Omar. Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-461453
American Medical Association (AMA)
Caballero-Morales, Santiago-Omar. Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-461453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461453