SautiDB: Nigerian Accent Dataset Collection

The SautiDB dataset collection project is an ongoing effort to collect datasets of various Nigerian accents. The dataset was collected in an uncontrolled manner, users who visit our webapp can record their voice and contribute to the dataset. The webapp uses the audio webapi to collect voice samples...

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Bibliographic Details
Main Authors: Afonja, Tejumade, Mbataku, Clinton, Malomo, Ademola, Okubadejo, Olumide, Francis, Lawrence, Nwadike, Munachiso, Orife, Iroro
Format: Dataset
Language:Old English
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/6409447
https://doi.org/10.5281/zenodo.6409447
Description
Summary:The SautiDB dataset collection project is an ongoing effort to collect datasets of various Nigerian accents. The dataset was collected in an uncontrolled manner, users who visit our webapp can record their voice and contribute to the dataset. The webapp uses the audio webapi to collect voice samples. We hope this dataset will be useful to people interested in developing voice technology in Nigeria. We will continuously collect more datasets and publish updated versions as we have them. This work grew out of our project Improving Online Experience using Accent Transfer. The filename is of 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 feels best describes their accents speakerID: ID, assigned to the speaker. It is possible for a speaker to have multiple IDs assigned since we are not authenticating users, we simply cached their browser sessions. gender: gender of the speaker. We did not explicitly collect this information from users, we hand-labeled it. sentenceID: the sentence ID for the sentences read. We used the CMU Arctic sentences. =========================== Before Postprocessing =========================== Number of Samples: 1615 Size Webm: 59MB Size Wav: 847MB Sampling Rate: 48000Hz Total Time: 2hrs 30min 21sec ============================ After Postprocessing ============================ Number of Samples: 919 Size Wav: 336MB Sampling Rate: 48000Hz Total Time: 0hrs 59min 08sec ============================ Version 1.1 ============================ This version has two updates: 1. In version 1.0, the naming convention for each language was to space each language with an underscore and uppercased, e.g., "Efik Ibibio" -> "EFIK_IBIBIO". We have changed "EFIK_IBIBIO" -> "EFIKIBIBIO". i.e. the file name, which was previously 'EFIKIBIBIO_EFIKIBIBIO_0014_M_A0138.wav', has now been changed to 'EFIKIBIBIO_EFIKIBIBIO_0014_M_A0138.wav'. This ...