ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

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

Michele Gubian, Francisco Torreira, Helmer Strik, Lou Boves

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 /setE/ ‘it was’, which can be reduced to [stE] 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.


doi: 10.21437/Interspeech.2009-626

Cite as: 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. Proc. Interspeech 2009, 2199-2202, doi: 10.21437/Interspeech.2009-626

@inproceedings{gubian09_interspeech,
  author={Michele Gubian and Francisco Torreira and Helmer Strik and Lou Boves},
  title={{Functional data analysis as a tool for analyzing speech dynamics - a case study on the French word c'était}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={2199--2202},
  doi={10.21437/Interspeech.2009-626}
}