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  Parselmouth for bioacoustics: Automated acoustic analysis in Python

Jadoul, Y., De Boer, B., & Ravignani, A. (2024). Parselmouth for bioacoustics: Automated acoustic analysis in Python. Bioacoustics, 33(1), 1-19. doi:10.1080/09524622.2023.2259327.

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Jadoul_etal_2024_parselmouth for bioacoustics.pdf (Verlagsversion), 3MB
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© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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 Urheber:
Jadoul, Yannick1, 2, Autor           
De Boer, Bart2, Autor
Ravignani, Andrea1, 3, 4, Autor           
Affiliations:
1Comparative Bioacoustics, MPI for Psycholinguistics, Max Planck Society, ou_3217299              
2Vrije Universiteit Brussel, Brussels, Belgium, ou_persistent22              
3Aarhus University, Aarhus, Denmark, ou_persistent22              
4Sapienza University of Rome, Rome, Italy, ou_persistent22              

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 Zusammenfassung: Bioacoustics increasingly relies on large datasets and computational methods. The need to batch-process large amounts of data and the increased focus on algorithmic processing require software tools. To optimally assist in a bioacoustician’s workflow, software tools need to be as simple and effective as possible. Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. Whereas Praat is principally designed for phonetics and speech processing, plenty of bioacoustics studies have used its advanced acoustic algorithms. Here, we evaluate existing usage of Parselmouth and discuss in detail several studies which used the software library. We argue that Parselmouth has the potential to be used even more in bioacoustics research, and suggest future directions to be pursued with the help of Parselmouth.

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Sprache(n): eng - English
 Datum: 2023-10-132024
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1080/09524622.2023.2259327
 Art des Abschluß: -

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Titel: Bioacoustics
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 33 (1) Artikelnummer: - Start- / Endseite: 1 - 19 Identifikator: ISSN: 0952-4622
ISSN: 2165-0586