Pragmatic De-Noising of Electroglottographic Signals

Autor: Sten Ternström
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Bioengineering, Vol 11, Iss 5, p 479 (2024)
Druh dokumentu: article
ISSN: 2306-5354
DOI: 10.3390/bioengineering11050479
Popis: In voice analysis, the electroglottographic (EGG) signal has long been recognized as a useful complement to the acoustic signal, but only when the vocal folds are actually contacting, such that this signal has an appreciable amplitude. However, phonation can also occur without the vocal folds contacting, as in breathy voice, in which case the EGG amplitude is low, but not zero. It is of great interest to identify the transition from non-contacting to contacting, because this will substantially change the nature of the vocal fold oscillations; however, that transition is not in itself audible. The magnitude of the cycle-normalized peak derivative of the EGG signal is a convenient indicator of vocal fold contacting, but no current EGG hardware has a sufficient signal-to-noise ratio of the derivative. We show how the textbook techniques of spectral thresholding and static notch filtering are straightforward to implement, can run in real time, and can mitigate several noise problems in EGG hardware. This can be useful to researchers in vocology.
Databáze: Directory of Open Access Journals
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