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Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech
المؤلف
Caballero-Morales, Santiago-Omar
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-08
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-461453
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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