34.2452, Summer Schools: Modelling multi-dimensional and misaligned time-varying contours / Online

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LINGUIST List: Vol-34-2452. Wed Aug 09 2023. ISSN: 1069 - 4875.

Subject: 34.2452, Summer Schools: Modelling multi-dimensional and misaligned time-varying contours / Online

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Date: 09-Aug-2023
From: Massimiliano Canzi [massimiliano.canzi at uni-konstanz.de]
Subject: Modelling multi-dimensional and misaligned time-varying contours / Online


Modelling multi-dimensional and misaligned time-varying contours

Host Institution: University of Konstanz
Website: https://www.eventbrite.co.uk/e/modelling-multi-dimensional-an
d-misaligned-time-varying-contours-tickets-695184765347

Dates: 25-Sep-2023 - 26-Sep-2023
Location: Online, Online

Focus: Modelling multi-dimensional and misaligned time-varying
contours
Minimum Education Level: MA

Special Qualifications:
Basic knowledge of R and tidyverse, as well as linear regression is
required, optionally GAMs.

Description:
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 contours
Abstract: 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.

Registration: 09-Aug-2023 to 25-Sep-2023

Contact Person: Massimiliano Canzi
                Email: massimiliano.canzi at uni-konstanz.de




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