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Measuring Periodicity Perturbations in Pathological Voice: General-Purpose Software vs. Custom-Tailored Methods

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VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering (CLAIB 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 75))

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Abstract

The acoustic measurement of the severity of the symptoms present in pathological voice is an active research area, for being inexpensive and non invasive. Periodicity perturbations are among the most frequently used, requiring the previous extraction of the individual glottal pulse boundaries. In this paper we explore the performances of methods for detecting glottal pulse boundaries as implemented by freely available software (Praat, intended for phonetic studies) vs. a research-grade pulse cycle detector (reported as a super-resolution method). We compare the sequences of pulse markers as obtained by two of Praat’s internal implementations and the super-resolution method against the hand-marked reference sequence in a dataset of pathological sustained vowels from a well-known database. A group of performance measures is extracted from this comparison, using a Dynamic-Time Warping alignment procedure. The measures obtained show the pros and cons of each alternative. Researchers and clinicians must be aware of the benefits of selecting either approach.

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Acknowledgements

This work was partially supported by an Alexander von Humboldt Foundation Fellowship granted to one of the authors (Ref 3.2-1164728-CUB-GF-E).

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Authors and Affiliations

  1. Central University “Marta Abreu” of Las Villas, C. Camajuaní km 5½, 52830, Santa Clara, Cuba

    Reinier Rodríguez-Guillén & Carlos A. Ferrer-Riesgo

Authors
  1. Reinier Rodríguez-Guillén
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  2. Carlos A. Ferrer-Riesgo
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Corresponding author

Correspondence to Carlos A. Ferrer-Riesgo .

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Editors and Affiliations

  1. Instituto Politécnico Nacional, Mexico City, Mexico

    César A. González Díaz

  2. Departamento de Ingeniería Electrica y Computación, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

    Christian Chapa González

  3. Universidad Nacional de San Juan, San Juan, Argentina

    Eric Laciar Leber

  4. Universidad de Guadalajara, Guadalajara, Mexico

    Hugo A. Vélez

  5. Universidad Autónoma de Nuevo León, Nuevo León, Mexico

    Norma P. Puente

  6. Universidad Autónoma de Baja California, Ensenada, Baja California, Mexico

    Dora-Luz Flores

  7. Universidade Federal de Uberlândia, Uberlândia, Brazil

    Adriano O. Andrade

  8. Instituto Nacional de Cancerología, Mexico City, Mexico

    Héctor A. Galván

  9. Universidad Autónoma Metropolitana, Mexico City, Mexico

    Fabiola Martínez

  10. Universidad Federal de Santa Catarina, Florianópolis, Brazil

    Renato García

  11. Instituto Nacional de Rehabilitación, Mexico City, Mexico

    Citlalli J. Trujillo

  12. Universidad Autónoma de San Luis Potos, San Luis, Mexico

    Aldo R. Mejía

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Rodríguez-Guillén, R., Ferrer-Riesgo, C.A. (2020). Measuring Periodicity Perturbations in Pathological Voice: General-Purpose Software vs. Custom-Tailored Methods. In: González Díaz, C., et al. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering. CLAIB 2019. IFMBE Proceedings, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-030-30648-9_8

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  • DOI: https://doi.org/10.1007/978-3-030-30648-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30647-2

  • Online ISBN: 978-3-030-30648-9

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