Functional data analysis as a tool for analyzing speech dynamics a case study 
on the French word c'était

Gubian, M.; Torreira, Francisco; Strik, H.; Boves, L.

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Functional data analysis as a tool for analyzing speech dynamics a case study on the French word c'était

MPS-Authors

Torreira, Francisco
Other Research, MPI for Psycholinguistics, Max Planck Society;
Center for Language Studies , External Organizations;

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Citation

Gubian, M., Torreira, F., Strik, H., & Boves, L. (2009). Functional data analysis as a tool for analyzing speech dynamics a case study on the French word c'était. In Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009) (pp. 2199-2202).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-4484-5

Abstract

In this paper we introduce Functional Data Analysis (FDA) as a tool for analyzing dynamic transitions in speech signals. FDA makes it possible to perform statistical analyses of sets of mathematical functions in the same way as classical multivariate analysis treats scalar measurement data. We illustrate the use of FDA with a reduction phenomenon affecting the French word c'était /setε/ 'it was', which can be reduced to [stε] in conversational speech. FDA reveals that the dynamics of the transition from [s] to [t] in fully reduced cases may still be different from the dynamics of [s] - [t] transitions in underlying /st/ clusters such as in the word stage.