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

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).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-4484-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-4486-1
Genre: Conference Paper

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 Creators:
Gubian, M.1, Author
Torreira, Francisco2, 3, Author
Strik, H.1, Author
Boves, L.1, Author
Affiliations:
1Centre for Language and Speech Technology, Radboud University, Nijmegen, Netherlands
2Other Research, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_55217              
3Center for Language Studies , External Organizations, ou_55238              

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 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.

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 Dates: 2009
 Publication Status: Issued
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Title: 10th Annual Conference of the International Speech Communication Association [Interspeech 2009]
Place of Event: Brighton, UK
Start-/End Date: 2009-09-06 - 2009-09-10

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Title: Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2199 - 2202 Identifier: ISSN: 1990-9772