Oesophageal voice cycle detection in shimmer calculation algorithm
Ibon Ruiz, Begoña García, Amaia Méndez Zorrilla, M. Mendezona · International Conference on Signal Processing · 2008
This paper presents an algorithm which works with oesophageal voices in order to evaluate their quality by means of the automatic calculation of shimmer. The evaluation requires a novel and specific processing for the detection of the periodicity cycles and instants in order to calculate amplitude perturbations of vocal signals. The designed algorithm performs the calculus in an automatic way with a mean maximum inaccuracy of 0.46% for oesophageal voices which is a novelty and an advance if compared to the results obtained by algorithms used by scientific commercial software applications that implement this measure.