SautiDB: Nigerian Accent Dataset Collection
The SautiDB dataset collection project (https://sautidb.web.app/) is an ongoing effort to collect datasets of various Nigerian accents. The filename has the form nativeLanguage_fluentLanguage_speakerID_gender_sentenceID.wav where nativeLanguage: Language spoken by the speaker's tribe. Native (m...
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ftsmithonian:oai:figshare.com:article/14134137 2023-05-15T15:05:13+02:00 SautiDB: Nigerian Accent Dataset Collection Afonja, Tejumade (10211667) Orife, Iroro (10211670) Mbataku, Clinton (10211673) Malomo, Ademola (10211676) Okubadejo, Olumide (10211679) Francis, Lawrence (10211682) Nwadike, Munachiso (10211685) 2021-02-28T00:00:00Z https://doi.org/10.5281/zenodo.4561842 unknown https://figshare.com/articles/dataset/SautiDB_Nigerian_Accent_Dataset_Collection/14134137 doi:10.5281/zenodo.4561842 CC BY 4.0 CC-BY Microbiology Biotechnology Evolutionary Biology Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified accent nigerian_accent african_accent Dataset 2021 ftsmithonian https://doi.org/10.5281/zenodo.4561842 2021-03-23T17:47:50Z The SautiDB dataset collection project (https://sautidb.web.app/) is an ongoing effort to collect datasets of various Nigerian accents. The filename has the form nativeLanguage_fluentLanguage_speakerID_gender_sentenceID.wav where nativeLanguage: Language spoken by the speaker's tribe. Native (mother) language of the speaker fluentLanguage: Language that the speaker thinks best describe their accents speakerID: ID assigned to speakers. Kindly note that it's possible that one speaker maps multiple IDs. This is because the speakers are not required to login to the system, we simply cache their browser session to recognize their subsequent uploads gender: Gender of the speaker. Kindly note that we did not collect this information from the speakers, we hand-labelled this. sentenceID: The sentence ID for the read sentences. We used the CMU Arctic sentences and can be found on http://www.festvox.org/cmu_arctic/cmuarctic.data =========================== Before Preprocessing =========================== Number of Samples: 1615 Size Webm: 59MB Size Wav: 847MB Sampling Rate: 48000Hz Total Time: 2hrs 30min 21sec ============================ After Preprocessing ============================ Number of Samples: 919 Size Wav: 336MB Sampling Rate: 48000Hz Total Time: 0hrs 59min 08sec Dataset Arctic Unknown Arctic |
institution |
Open Polar |
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ftsmithonian |
language |
unknown |
topic |
Microbiology Biotechnology Evolutionary Biology Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified accent nigerian_accent african_accent |
spellingShingle |
Microbiology Biotechnology Evolutionary Biology Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified accent nigerian_accent african_accent Afonja, Tejumade (10211667) Orife, Iroro (10211670) Mbataku, Clinton (10211673) Malomo, Ademola (10211676) Okubadejo, Olumide (10211679) Francis, Lawrence (10211682) Nwadike, Munachiso (10211685) SautiDB: Nigerian Accent Dataset Collection |
topic_facet |
Microbiology Biotechnology Evolutionary Biology Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified accent nigerian_accent african_accent |
description |
The SautiDB dataset collection project (https://sautidb.web.app/) is an ongoing effort to collect datasets of various Nigerian accents. The filename has the form nativeLanguage_fluentLanguage_speakerID_gender_sentenceID.wav where nativeLanguage: Language spoken by the speaker's tribe. Native (mother) language of the speaker fluentLanguage: Language that the speaker thinks best describe their accents speakerID: ID assigned to speakers. Kindly note that it's possible that one speaker maps multiple IDs. This is because the speakers are not required to login to the system, we simply cache their browser session to recognize their subsequent uploads gender: Gender of the speaker. Kindly note that we did not collect this information from the speakers, we hand-labelled this. sentenceID: The sentence ID for the read sentences. We used the CMU Arctic sentences and can be found on http://www.festvox.org/cmu_arctic/cmuarctic.data =========================== Before Preprocessing =========================== Number of Samples: 1615 Size Webm: 59MB Size Wav: 847MB Sampling Rate: 48000Hz Total Time: 2hrs 30min 21sec ============================ After Preprocessing ============================ Number of Samples: 919 Size Wav: 336MB Sampling Rate: 48000Hz Total Time: 0hrs 59min 08sec |
format |
Dataset |
author |
Afonja, Tejumade (10211667) Orife, Iroro (10211670) Mbataku, Clinton (10211673) Malomo, Ademola (10211676) Okubadejo, Olumide (10211679) Francis, Lawrence (10211682) Nwadike, Munachiso (10211685) |
author_facet |
Afonja, Tejumade (10211667) Orife, Iroro (10211670) Mbataku, Clinton (10211673) Malomo, Ademola (10211676) Okubadejo, Olumide (10211679) Francis, Lawrence (10211682) Nwadike, Munachiso (10211685) |
author_sort |
Afonja, Tejumade (10211667) |
title |
SautiDB: Nigerian Accent Dataset Collection |
title_short |
SautiDB: Nigerian Accent Dataset Collection |
title_full |
SautiDB: Nigerian Accent Dataset Collection |
title_fullStr |
SautiDB: Nigerian Accent Dataset Collection |
title_full_unstemmed |
SautiDB: Nigerian Accent Dataset Collection |
title_sort |
sautidb: nigerian accent dataset collection |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4561842 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://figshare.com/articles/dataset/SautiDB_Nigerian_Accent_Dataset_Collection/14134137 doi:10.5281/zenodo.4561842 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4561842 |
_version_ |
1766336961236172800 |