Abstract
Speech quality assessment methods are necessary for evaluating and documenting treatment outcomes of patients suffering from degraded speech due to Parkinson's disease, stroke, or other disease processes. Subjective methods of speech quality assessment are more accurate and more robust than objective methods but are time-consuming and costly. We propose a novel objective measure of speech quality assessment that builds on traditional speech processing techniques such as dynamic time warping (DTW) and the Itakura-Saito (IS) distortion measure. Initial results show that our objective measure correlates well with the more expensive subjective methods. © 2005 Hindawi Publishing Corporation.
Recommended Citation
L. Gu et al., "Disordered Speech Assessment Using Automatic Methods Based On Quantitative Measures," Eurasip Journal on Applied Signal Processing, vol. 2005, no. 9, pp. 1400 - 1409, Springer, Jun 2005.
The definitive version is available at https://doi.org/10.1155/ASP.2005.1400
Department(s)
Electrical and Computer Engineering
Publication Status
Open Access
Keywords and Phrases
Anthropomorphic; Objective speech quality measures; Pathology; Subjective speech quality measures
International Standard Serial Number (ISSN)
1110-8657
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Springer, All rights reserved.
Publication Date
01 Jun 2005
