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arXiv 2207.03546eess.AScs.CLcs.SD

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

Masakhane NLP(Masakhane自然语言处理社区);Coqui(Coqui公司);Saarland University(萨尔大学);CLEAR Global(全球清晰语言组织);Col·lectivaT(Col·lectivaT机构);SIL International(国际暑期语言学院);Leibniz Universität Hannover(汉诺威莱布尼茨大学);Johns Hopkins University(约翰斯·霍普金斯大学);Niger-Volta LTI(尼日尔-沃尔特语言技术倡议);Carnegie Mellon University(卡内基梅隆大学);Technical University of Munich(慕尼黑工业大学);Makerere University(马凯雷雷大学);Ewegbe Akademi(埃韦格贝学院);Kwame Nkrumah University of Science and Technology(夸梅·恩克鲁玛科技大学)
Josh Meyer, David Ifeoluwa Adelani, Edresson Casanova, Alp Öktem, Daniel Whitenack Julian Weber, Salomon Kabongo, Elizabeth Salesky, Iroro Orife, Colin Leong, P… 展开作者

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

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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