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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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LRRo: A Lip Reading Data Set for the Under-resourced Romanian Language

Authors: Jitaru, Andrei - Cosmin; Abdulamit, Șeila; Ionescu, Bogdan;

LRRo: A Lip Reading Data Set for the Under-resourced Romanian Language

Abstract

Two distinct collections are presented in this repository: (i) wild LRRo data is designed for an Internet in-the-wild, ad-hoc scenario, coming with more than 35 different speakers, 1.1k words, a vocabulary of 21 words, and more than 20 hours; (ii) lab LRRo data, addresses a lab controlled scenario for more accurate data, coming with 19 different speakers, 6.4k words, a vocabulary of 48 words, and more than 5 hours.

If you make use of this collection, please acknowledge the work of the authors by citing the following publication: Andrei Cosmin Jitaru, Şeila Abdulamit, and Bogdan Ionescu. 2020. LRRo: A Lip Reading Data Set for the Under-resourced Romanian Language. In 11th ACM Multimedia Systems Conference (MMSys'20), June 8–11, 2020, Istanbul, Turkey. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3339825.3394932

{"references": ["Andrei Cosmin Jitaru, \u015eeila Abdulamit, and Bogdan Ionescu, \"LRRo:A Lip Reading Data Set for the Under-resourced Romanian Language\" in MMSys '20: ACM Open Dataset and Software Track, June 8-11, 2020, Istanbul, Turkey"]}

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Keywords

visual speech recognition, lip reading, annotated data set, Romanian language, under-resourced languages

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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