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BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Authors :
Meyer, Josh
Adelani, David Ifeoluwa
Casanova, Edresson
Öktem, Alp
Weber, Daniel Whitenack Julian
Kabongo, Salomon
Salesky, Elizabeth
Orife, Iroro
Leong, Colin
Ogayo, Perez
Emezue, Chris
Mukiibi, Jonathan
Osei, Salomey
Agbolo, Apelete
Akinode, Victor
Opoku, Bernard
Olanrewaju, Samuel
Alabi, Jesujoba
Muhammad, Shamsuddeen
Publication Year :
2022

Abstract

BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single speaker recordings per language, enabling the development of high-quality text-to-speech models. The ten languages represented are: Akuapem Twi, Asante Twi, Chichewa, Ewe, Hausa, Kikuyu, Lingala, Luganda, Luo, and Yoruba. This corpus is a derivative work of Bible recordings made and released by the Open.Bible project from Biblica. We have aligned, cleaned, and filtered the original recordings, and additionally hand-checked a subset of the alignments for each language. We present results for text-to-speech models with Coqui TTS. The data is released under a commercial-friendly CC-BY-SA license.<br />Comment: Accepted to INTERSPEECH 2022

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2207.03546
Document Type :
Working Paper