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  • Research Article
  • Open Access

Disordered Speech Assessment Using Automatic Methods Based on Quantitative Measures

  • Lingyun Gu1Email author,
  • John G. Harris1,
  • Rahul Shrivastav2 and
  • Christine Sapienza2
EURASIP Journal on Advances in Signal Processing20052005:768125

https://doi.org/10.1155/ASP.2005.1400

Received: 2 November 2003

Published: 21 June 2005

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.

Keywords and phrases

objective speech quality measuressubjective speech quality measurespathologyanthropomorphic

Authors’ Affiliations

(1)
Computational NeuroEngineering Laboratory, Department of Electrical & Computer Engineering, University of Florida, Gainesville, USA
(2)
Department of Communication Sciences & Disorders, University of Florida, Gainesville, USA

Copyright

© Gu et al. 2005

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