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Digital inverse filtering for linguistic research.

H R Javkin, N Antoñanzas-Barroso, I Maddieson

    Journal of Speech and Hearing Research
    |March 1, 1987
    PubMed
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    This study details a digital inverse filtering method to analyze glottal vibration. This technique recovers glottal air volume velocity waveforms from speech, aiding linguistic research.

    Area of Science:

    • Acoustic Phonetics
    • Speech Science
    • Linguistics

    Background:

    • Studying glottal vibration modes requires analyzing glottal air volume velocity waveforms.
    • Previous research primarily utilized analog inverse filtering techniques.
    • Digital inverse filtering offers superior adaptability for dynamic vocal tract filter functions.

    Purpose of the Study:

    • To provide a comprehensive description of a digital inverse filtering process for glottal waveform recovery.
    • To facilitate the adoption of digital inverse filtering in linguistic and phonetic research.
    • To enable detailed study of glottal vibration differences.

    Main Methods:

    • Development of a digital inverse filtering process at the UCLA Phonetics Laboratory.
    • Recovery of glottal air volume velocity waveforms from speech recordings.

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  • Application of digital filters with adaptable settings for vocal tract filter functions.

    • Main Results:

    • A detailed procedural description of digital inverse filtering for glottal analysis is presented.
    • The described method allows for precise recovery of glottal waveforms.
    • The process is designed to accommodate the changing nature of vocal tract filter functions.

    Conclusions:

    • The paper provides a clear methodology for digital inverse filtering in speech analysis.
    • This work aims to standardize and promote the use of digital inverse filtering in phonetic research.
    • The described technique enhances the study of glottal vibration modes through accurate waveform recovery.