Talrómur: A large Icelandic TTS corpus

Atli Sigurgeirsson, Þorsteinn Gunnarsson, Gunnar Örnólfsson, Eydís Magnúsdóttir, Ragnheiður Þórhallsdóttir, Stefán Jónsson, Jón Guðnason


Abstract
We present Talrómur, a large high-quality Text-To-Speech (TTS) corpus for the Icelandic language. This multi-speaker corpus contains recordings from 4 male speakers and 4 female speakers of a wide range in age and speaking style. The corpus consists of 122,417 single utterance recordings equating to approximately 213 hours of voice data. All speakers read from the same script which has a high coverage of possible Icelandic diphones. Manual analysis of 15,956 utterances indicates that the corpus has a reading mistake rate no higher than 0.25%. We additionally present results from subjective evaluations of the different voices with regards to intelligibility, likeability and trustworthiness.
Anthology ID:
2021.nodalida-main.50
Volume:
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
Month:
May 31--2 June
Year:
2021
Address:
Reykjavik, Iceland (Online)
Venue:
NoDaLiDa
SIG:
Publisher:
Linköping University Electronic Press, Sweden
Note:
Pages:
440–444
Language:
URL:
https://aclanthology.org/2021.nodalida-main.50
DOI:
Bibkey:
Cite (ACL):
Atli Sigurgeirsson, Þorsteinn Gunnarsson, Gunnar Örnólfsson, Eydís Magnúsdóttir, Ragnheiður Þórhallsdóttir, Stefán Jónsson, and Jón Guðnason. 2021. Talrómur: A large Icelandic TTS corpus. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), pages 440–444, Reykjavik, Iceland (Online). Linköping University Electronic Press, Sweden.
Cite (Informal):
Talrómur: A large Icelandic TTS corpus (Sigurgeirsson et al., NoDaLiDa 2021)
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PDF:
https://aclanthology.org/2021.nodalida-main.50.pdf