Automatic analysis of speech prosody in Dutch

N. Hu, Berit Janssen, Judith Hanssen, C. Gussenhoven, A. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper we present a publicly available tool for automatic
analysis of speech prosody (AASP) in Dutch. Incorporating
the state-of-the-art analytical frameworks, AASP enables users
to analyze prosody at two levels from different theoretical
perspectives. Holistically, by means of the Functional
Principal Component Analysis (FPCA) it generates
mathematical functions that capture changes in the shape of a
pitch contour. The tool outputs the weights of principal
components in a table for users to process in further statistical
analysis. Structurally, AASP analyzes prosody in terms of
prosodic events within the auto-segmental metrical framework,
hypothesizing prosodic labels in accordance with
Transcription of Dutch Intonation (ToDI) with accuracy
comparable to similar tools for other languages. Published as a
Docker container, the tool can be set up on various operating
systems in only two steps. Moreover, the tool is accessed
through a graphic user interface, making it accessible to users
with limited programming skills
Original languageEnglish
Title of host publicationProceedings of Interspeech 2020
Pages155-159
DOIs
Publication statusPublished - 2020

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