BU-TTS: An Open-Source, Bilingual Welsh-English, Text-to-Speech Corpus
4th Celtic Language Technology Workshop, CLTW 2022
; : 104-109, 2022.
Article
in English
| Scopus | ID: covidwho-2169580
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. © European Language Resources Association (ELRA)
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
4th Celtic Language Technology Workshop, CLTW 2022
Year:
2022
Document Type:
Article
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