7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2011)
The presentation concerns a method for tracking cycle lengths in voiced speech and analysing vocal cycle lengh fluctuations. The tracking of cycle lengths is based on a dynamic programming algorithm, which does not request that the signal is locally periodic and the average period length is known a priori. The obtained cycle length time series is then decomposed into a sum of intrinsic mode functions by means of empirical mode decomposition. These mode functions are then assigned to three categories, which are cycle length jitter, cycle length tremor and trend owing to intonation and physiological tremor. The characteristics of slow and fast perturbations are reported.
Index Terms. vocal frequency, vocal tremor, vocal jitter, speech salience analysis, empirical mode decomposition
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Mertens, C. / Grenez, Francis / Boucher, V. / Schoentgen, Jean (2011): "Analysis of glottal cycle tremor and jitter by empirical mode decomposition", In MAVEBA-2011, 127-130.