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A Method for Unsupervised Detection of the Boundary of Coarticulated Units from Isolated Speech Using Recurrence Plot

  • Arijit Sinharay
  • Syed Mohd Bilal
  • Tanushyam Chattopadhyay
Part of the Communications in Computer and Information Science book series (CCIS, volume 245)

Abstract

One of the major step for Automatic Speech Recognition (ASR) is to mark the boundary of two consecutive co-articulated units. While attempt has been done to use cross recurrence plot (supervised learning) to address similar problems [1], here we propose an unsupervised approach using Recurrence Plots (RP) to address the same problem. The novelty of the work is two fold. First, we report a novel approach on using RP to identify co-articulated boundaries through prominent visual patterns. Second, we use a different quantitative approach rather than usual Recurrence Quantification Analysis (RQA) matrix [2] for automatic detection of transition boundaries. The proposed algorithm is applied on isolated spoken numerals in Bangla, a major Indian language. The results obtained from a considerably large database shows that the proposed method is a potential candidate to address the problem of Co-articulated Units Boundary (CUB) detection.

Keywords

Recurrence plot ASR Speech recognition co-articulated unit boundary detection Nonlinear signal processing 

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References

  1. 1.
    Lancia, L., Fuchs, S.: Cross-Recurrence Analysis of Speech Signals. Centre for General Linguistics (ZAS), BerlinGoogle Scholar
  2. 2.
    Zbilut, J.P., Thomasson, N., Webber, C.L.: Recurrence quantification analysis as a tool for nonlinear exploration of nonstationary cardiac signals. Medical Engineering & Physics, 53–60 (2002)Google Scholar
  3. 3.
    Eckmann, J.P., Kamphorst, S.O., Ruelle, D.: Recurrence plots of dynamical systems. Europhys. Letter 5, 973–977 (1987)CrossRefGoogle Scholar
  4. 4.
    Chattopadhyay, T., Chaudhuri, B.B.: Segmentation of Co-Articulated Basic Units in Isolated Bangla Words Using Multifactorial Analysis. In: IEEE INDICON 2004 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Arijit Sinharay
    • 1
  • Syed Mohd Bilal
    • 1
  • Tanushyam Chattopadhyay
    • 1
  1. 1.Innovation LabTata Consultancy ServicesKolkataIndia

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