10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 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

Radboud Universiteit Nijmegen, The Netherlands

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.

Full Paper

Bibliographic reference.  Gubian, Michele / Torreira, Francisco / Strik, Helmer / Boves, Lou (2009): "Functional data analysis as a tool for analyzing speech dynamics - a case study on the French word c'était", In INTERSPEECH-2009, 2199-2202.