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PyToBI: a toolkit for ToBI labeling under Python.

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 Spain English Publisher:ZenodoJournal:Proceedings of the 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019)Funded by:EC | CONNEXIONs
Authors: Bajo, Mónica Domínguez; Rohrer, Patrick Louis; Soler-Company, Juan;

doi: 10.5281/zenodo.4529156 , 10.5281/zenodo.4529157

handle: 10230/42321

PyToBI: a toolkit for ToBI labeling under Python.

Abstract

PyToBI is introduced as a user-friendly toolkit for the automatic annotation of intonation contours using the Tones and Breaks Indexes convention, known as ToBI.

This project has received partial funding from the European Unions Horizon 2020 research and innovation program under grant agreement No 786731.

Comunicació presentada a: Interspeech 2019, celebrada del 15 al 19 de setembre de 2019 a Graz, Àustria.

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Keywords

speech corpora, Praat, praat, Speech prosody, Automatic annotation, acoustic parameters, speech prosody, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, Open-source software, automatic annotation, ToBI, Acoustic parameters, open-source soft- ware, Speech corpora, Python

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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