Modelling multi-dimensional and misaligned time-varying contours

Massimiliano Canzi

Modelling multi-dimensional and misaligned speech-related time-varying contours

When: September 25th and 26th (2:00 - 4:00 pm) `Where: Online (hosted by LingLabs, University of Konstanz) Instructor: Dr Michele Gubian (IPS, LMU Munich) Title: Modelling multi-dimensional and misaligned speech-related time-varying contoursAbstract: This workshop introduces functional PCA and landmark registration, two techniques that enable to perform effective statistical analysis of time-varying contours originating from acoustic or articulatory measurements of speech production, like f0, intensity, formants, EMA contours.
 These techniques, combined with linear (mixed-effects) regression, provide solutions to two problems that affect the statistical analysis of such type of time-varying contours. One is that it is not straightforward to model multiple contours jointly, e.g. formants F1 and F2 together, or EMA-captured tongue tip and dorsum trajectories. 
The other is that modelling methods such as GAMs do not offer ways to incorporate information about the location of segmental or syllabic boundaries, which vary across contours. However, such information is crucial to (i) anchor contour shapes to the underlying segmental material and (ii) capture co-variation of contour shapes and segmental durations.Requirements: Basic knowledge of R and tidyverse, as well as linear regression is required, optionally GAMs.

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Modelling multi-dimensional and misaligned time-varying contours

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Modelling multi-dimensional and misaligned time-varying contours

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