Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue

Speech entrainment, particularly acoustic-prosodic (a/p) entrainment, has gained significant interest in recent years for its implications on social interaction and dialogue systems. However, measuring a/p entrainment is challenging, mainly due to the scarce consensus on its characterization, an...

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Detalles Bibliográficos
Autores principales: Ernst, Erik, Gálvez, Ramiro, Gravano, Agustín
Formato: Documento de conferencia publishedVersion
Lenguaje:Inglés
Publicado: IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence 2024
Materias:
Discurso
Lingüística
Linguistics
Speeches
Lenguaje de programación
Computer language
Lingüística informática
Computational linguistics
Entrainment-Metrics
Prosodia
Prosody
Acoustics
Synchrony
Convergence
Convergencia
Proximity
Python library
Acceso en línea:https://repositorio.utdt.edu/handle/20.500.13098/13150
https://www.utdt.edu/ia/integrantes/agravano/entrainment-metrics.php?l=en
https://doi.org/10.1007/978-3-031-80366-6_33
Aporte de:
Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella
id I57-R163-20.500.13098-13150
record_format dspace
spelling I57-R163-20.500.13098-131502025-02-27T14:40:59Z Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue Ernst, Erik Gálvez, Ramiro Gravano, Agustín Discurso Lingüística Linguistics Speeches Lenguaje de programación Computer language Lingüística informática Computational linguistics Entrainment-Metrics Prosodia Prosody Acoustics Synchrony Convergence Convergencia Proximity Python library Speech entrainment, particularly acoustic-prosodic (a/p) entrainment, has gained significant interest in recent years for its implications on social interaction and dialogue systems. However, measuring a/p entrainment is challenging, mainly due to the scarce consensus on its characterization, and the lack of software libraries readily available to non-expert programmers. This paper presents Entrainment-Metrics, an open-source Python toolkit for quantifying a/p entrainment in spoken dialogue. It allows users to quantify different characterizations of a/p entrainment, measure its occurrence along different a/p features, and choose between different measurement strategies. The toolkit was designed for researchers and practitioners from a wide range of fields, with no need for a strong computational background, who are interested in studying a/p entrainment and its relation to other phenomena. This paper provides a concise introduction to using Entrainment-Metrics and presents an illustrative empirical study that highlights its capabilities. Este documento fue presentado IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence, en los días 13 al 15 de noviembre del año 2024 /// Puede accederse a la Biblioteca Python en el segundo link en este registro 2024-11-21T01:52:36Z 2024-11-21T01:52:36Z 2024-11 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion https://repositorio.utdt.edu/handle/20.500.13098/13150 https://www.utdt.edu/ia/integrantes/agravano/entrainment-metrics.php?l=en https://doi.org/10.1007/978-3-031-80366-6_33 eng IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence info:eu-repo/semantics/restrictedAccess http://rightsstatements.org/page/InC/1.0/?language=es pp.421-432 application/pdf application/pdf IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence
institution Universidad Torcuato Di Tella
institution_str I-57
repository_str R-163
collection Repositorio Digital Universidad Torcuato Di Tella
language Inglés
orig_language_str_mv eng
topic Discurso
Lingüística
Linguistics
Speeches
Lenguaje de programación
Computer language
Lingüística informática
Computational linguistics
Entrainment-Metrics
Prosodia
Prosody
Acoustics
Synchrony
Convergence
Convergencia
Proximity
Python library
spellingShingle Discurso
Lingüística
Linguistics
Speeches
Lenguaje de programación
Computer language
Lingüística informática
Computational linguistics
Entrainment-Metrics
Prosodia
Prosody
Acoustics
Synchrony
Convergence
Convergencia
Proximity
Python library
Ernst, Erik
Gálvez, Ramiro
Gravano, Agustín
Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
topic_facet Discurso
Lingüística
Linguistics
Speeches
Lenguaje de programación
Computer language
Lingüística informática
Computational linguistics
Entrainment-Metrics
Prosodia
Prosody
Acoustics
Synchrony
Convergence
Convergencia
Proximity
Python library
description Speech entrainment, particularly acoustic-prosodic (a/p) entrainment, has gained significant interest in recent years for its implications on social interaction and dialogue systems. However, measuring a/p entrainment is challenging, mainly due to the scarce consensus on its characterization, and the lack of software libraries readily available to non-expert programmers. This paper presents Entrainment-Metrics, an open-source Python toolkit for quantifying a/p entrainment in spoken dialogue. It allows users to quantify different characterizations of a/p entrainment, measure its occurrence along different a/p features, and choose between different measurement strategies. The toolkit was designed for researchers and practitioners from a wide range of fields, with no need for a strong computational background, who are interested in studying a/p entrainment and its relation to other phenomena. This paper provides a concise introduction to using Entrainment-Metrics and presents an illustrative empirical study that highlights its capabilities.
format Documento de conferencia
publishedVersion
author Ernst, Erik
Gálvez, Ramiro
Gravano, Agustín
author_facet Ernst, Erik
Gálvez, Ramiro
Gravano, Agustín
author_sort Ernst, Erik
title Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
title_short Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
title_full Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
title_fullStr Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
title_full_unstemmed Entrainment-Metrics: An Open-Source Toolkit for Quantifying Acoustic-Prosodic Entrainment in Spoken Dialogue
title_sort entrainment-metrics: an open-source toolkit for quantifying acoustic-prosodic entrainment in spoken dialogue
publisher IBERAMIA 2024. 18th Ibero-American Conference on Artificial Intelligence
publishDate 2024
url https://repositorio.utdt.edu/handle/20.500.13098/13150
https://www.utdt.edu/ia/integrantes/agravano/entrainment-metrics.php?l=en
https://doi.org/10.1007/978-3-031-80366-6_33
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AT gravanoagustin entrainmentmetricsanopensourcetoolkitforquantifyingacousticprosodicentrainmentinspokendialogue
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