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    <abstract>This paper presents the design, collection and verification of a bilingual text-to-speech synthesis corpus for Welsh and English. The ever expanding voice collection currently contains almost 10 hours of recordings from a bilingual, phonetically balanced text corpus. The speakers consist of a professional voice actor and three amateur contributors, with male and female accents from north and south Wales. This corpus provides audio-text pairs for building and training high-quality bilingual Welsh-English neural based TTS systems. We describe the process by which we created a phonetically balanced prompt set and the challenges of attempting to collate such a dataset during the COVID-19 pandemic. Our initial findings in validating the corpus via the implementation of a state-of-the-art TTS models are presented. This corpus represents the first open-source Welsh language corpus large enough to capitalise on neural TTS architectures.</abstract>
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%0 Conference Proceedings
%T BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus
%A Russell, Stephen
%A Jones, Dewi
%A Prys, Delyth
%Y Fransen, Theodorus
%Y Lamb, William
%Y Prys, Delyth
%S Proceedings of the 4th Celtic Language Technology Workshop within LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F russell-etal-2022-bu
%X This paper presents the design, collection and verification of a bilingual text-to-speech synthesis corpus for Welsh and English. The ever expanding voice collection currently contains almost 10 hours of recordings from a bilingual, phonetically balanced text corpus. The speakers consist of a professional voice actor and three amateur contributors, with male and female accents from north and south Wales. This corpus provides audio-text pairs for building and training high-quality bilingual Welsh-English neural based TTS systems. We describe the process by which we created a phonetically balanced prompt set and the challenges of attempting to collate such a dataset during the COVID-19 pandemic. Our initial findings in validating the corpus via the implementation of a state-of-the-art TTS models are presented. This corpus represents the first open-source Welsh language corpus large enough to capitalise on neural TTS architectures.
%U https://aclanthology.org/2022.cltw-1.15
%P 104-109

Markdown (Informal)

[BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus](https://aclanthology.org/2022.cltw-1.15) (Russell et al., CLTW 2022)

• BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus (Russell et al., CLTW 2022)

ACL

• Stephen Russell, Dewi Jones, and Delyth Prys. 2022. BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus. In Proceedings of the 4th Celtic Language Technology Workshop within LREC2022, pages 104–109, Marseille, France. European Language Resources Association.