Analysis of glottal cycle tremor and jitter by empirical mode decomposition
نویسندگان
چکیده
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.
منابع مشابه
Vocal tremor analysis via AM-FM decomposition of empirical modes of the glottal cycle length time series
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