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Creating a cross-linguistic database to investigate speech rhythm

Ortega-Llebaria, Marta (2023) Creating a cross-linguistic database to investigate speech rhythm. In: Pitt Momentum Fund 2023.

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Abstract

Rhythm, which refers to the sensation of isochrony conveyed by repeating patterns in speech, is key to add emotion and pragmatic meanings to the dialogues of, for example, voice assistants such as Siri and Alexa. Despite its importance, few papers tested new promising rhythm measures due to the technical challenges involved in this research. The present project aims at ameliorating these challenges by creating a database to study prosody cross-linguistically together with a set of scripts that output over 20 rhythm measures. With the help of undergraduate students majoring in different languages, the database will consist of TED talks in 8 languages, their orthographic transcriptions, and annotated speech wave forms (words, syllables, phonemes, and pauses). Speech annotations will be automatically generated by freely available aligners and sound editing programs. This database will be the input to the scripts that output the 20+ rhythm measures. Both tools, the database and scripts, together with a manual will be made available to the research community worldwide in order to promote international dialogue in this field.


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Details

Item Type: Conference or Workshop Item (Other)
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ortega-Llebaria, MartaMAO61@pitt.edu0000-0003-1637-3541
Centers: Other Centers, Institutes, Offices, or Units > Office of Sponsored Research > Pitt Momentum Fund
Date: 2023
Event Title: Pitt Momentum Fund 2023
Event Type: Other
DOI or Unique Handle: 10.18117/w4mv-t418
Schools and Programs: Dietrich School of Arts and Sciences > Linguistics
Refereed: No
Uncontrolled Keywords: Arts & Humanities Microgrants
Other ID: 6317
Additional Information: Posters to be added by March 1, 2023
Date Deposited: 06 Feb 2023 20:11
Last Modified: 22 Sep 2023 15:37
URI: http://d-scholarship.pitt.edu/id/eprint/44102

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