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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dendi of Parakou multi-speaker speech dataset

Authors: Ali Jamiil; Ali Toure Hamdiath;

Dendi of Parakou multi-speaker speech dataset

Abstract

This dataset was created for speech research purposes and contains about 676 recordings of participants reading a script in Dendi as spoken in Parakou, one sentence at a time. Each example includes the audio files and the associated text. The audio is high-quality and recorded in a quiet environment. The dataset is multi-speaker, containing recordings from 2 volunteers (male and female), where each volunteer contributed up to 338 recordings. The recordings were done in 2022 and took place in Cotonou in Benin. The recommended use cases are the building of educational material for pupils. Keys applications are Machine learning and speech technology.

Keywords

Deep Learning, Dendi, ASR, Automatic Speech Recognition, NLP, Google

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citations
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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