Analysis of Voice for Parkinson’s Disease Persons Using Dynamic Time Warping Technique

  • Vikas
  • R.K. Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 308)


This paper presents a dynamic time warping (DTW) technique-based analysis of voice for distinguishing Parkinson’s disease (PD) persons from healthy persons. Mel frequency cepstral coefficient (MFCC) algorithm with MATLAB coding has been used to process voice samples. MFCC is converted into vector using MATLAB. DTW is useful for matching of voice samples. DTW-based matching percentage between PD-affected persons is 80.2163 %, whereas it is 72.2588 % between healthy persons. First coefficient of MFCC shows large values in case of PD-affected persons.


Analysis MFCC Dynamic time warping Parkinson’s disease Matching Voice 


  1. 1.
    Lee, S.M., Fang, S.H., Hung, J.W., Lee, L.S.: Improved MFCC feature extraction by PCA-optimized filter bank for speech recognition. In: IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 49–52 (2001) Google Scholar
  2. 2.
    Hossan, MA., Memon, S., Gregory, M.A.: A novel approach for MFCC feature extraction. In: 4th international conference on signal processing and communication systems (ICSPCS), pp. 1–5 (2010)Google Scholar
  3. 3.
    Bhalke, D.G., Rama Rao, C.B., Bormane, D.S.: Dynamic time warping technique for musical instrument recognition for isolated notes. In: Proceedings of ICETECT, pp. 768–771 (2011)Google Scholar
  4. 4.
    Sahidullah, M., Saha, G.: Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition. Sci. Dir. Speech Commun. 54, 543–565 (2012)CrossRefGoogle Scholar
  5. 5.
    Giorgino, T.: Computing and visualizing dynamic time warping alignments in R: the dtw package. J. Stat. Softw. 31(7), 1–24 (2009)Google Scholar
  6. 6.
    Muller, M.: Information retrieval for music and motion, XVI, 318p. 136 illus. 39 in color., Hardcover. ISBN: 978-3-540-74047-6. (2007)
  7. 7.

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.School of VLSI Design and Embedded SystemsNIT KurukshetraKurukshetraIndia

Personalised recommendations