Skip to main content

Disordered Speech Assessment Using Automatic Methods Based on Quantitative Measures


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.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Lingyun Gu.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Gu, L., Harris, J.G., Shrivastav, R. et al. Disordered Speech Assessment Using Automatic Methods Based on Quantitative Measures. EURASIP J. Adv. Signal Process. 2005, 768125 (2005).

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI:

Keywords and phrases