Method for Speech Inversion with Large Scale Statistical Evaluation
نویسندگان
چکیده
An articulatory model of speech production is created for the purpose of studying the links between speech production and perception. A computationally effective method for speech inversion in proposed, using a two-pole predictor structure in order to maintain better articulatory dynamics when compared to conventional dynamic programming methods. Preliminary tests for the effect of inversion are performed for 2500 Finnish syllables extracted from continuous speech, consisting of 125 different syllable classes. A cluster selectivity test shows that the syllables are more reliably clustered using the automatically obtained parametric representation of articulatory gestures rather than the original formant representation that is used as a starting point for the inversion.
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