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Visualization of Voice Disorders Using the Sammon Transform

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Text, Speech and Dialogue (TSD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4188))

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Abstract

The Sammon Transform performs data projections in a topology-preserving manner on the basis of an arbitrary distance measure. We use the weights of the observation probabilities of semi-continuous HMMs that were adapted to the current speaker as input. Experiments on laryngectomized speakers with tracheoesophageal substitute voice, hoarse, and normal speakers show encouraging results. Different speaker groups are separated in 2-D space, and the projection of a new speaker into the Sammon map allows prediction of his or her kind of voice pathology. The method can thus be used as an objective, automated support for the evaluation of voice disorders, and it visualizes them in a way that is convenient for speech therapists.

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Authors and Affiliations

  1. Department of Phoniatrics and Pedaudiology, University of Erlangen-Nuremberg, Bohlenplatz 21, 91054, Erlangen, Germany

    Tino Haderlein & Maria Schuster

  2. Chair for Pattern Recognition (Informatik 5), University of Erlangen-Nuremberg, Martensstraße 3, 91058, Erlangen, Germany

    Dominik Zorn, Stefan Steidl & Elmar Nöth

  3. Speech Recognition Department, Asahi Kasei Corporation, Atsugi AXT Main Tower 22F, 3050 Okata, Atsugi-shi, Kanagawa, 243-0021, Japan

    Makoto Shozakai

Authors
  1. Tino Haderlein
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  2. Dominik Zorn
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  3. Stefan Steidl
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  4. Elmar Nöth
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  5. Makoto Shozakai
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  6. Maria Schuster
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Editor information

Editors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics, Masaryk University, Botanická 68a, CZ-602 00, Brno, Czech Republic

    Ivan Kopeček

  3. Faculty of Informatics, Department of Computer Graphics and Design, Masaryk University, Botanická 68a, 60200, Brno, Czech Republic

    Karel Pala

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© 2006 Springer-Verlag Berlin Heidelberg

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Haderlein, T., Zorn, D., Steidl, S., Nöth, E., Shozakai, M., Schuster, M. (2006). Visualization of Voice Disorders Using the Sammon Transform. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_74

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  • DOI: https://doi.org/10.1007/11846406_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39090-9

  • Online ISBN: 978-3-540-39091-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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