@inproceedings{malisz-etal-2024-prodis-speech,
title = "{PRODIS} - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in {P}olish",
author = "Malisz, Zofia and
Foremski, Jan and
Kul, Ma{\l}gorzata",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.1144",
pages = "13068--13073",
abstract = "We present a speech database and a phoneme-level language model of Polish. The database and model are designed for the analysis of prosodic and discourse factors interacting with predictability effects on acoustic parameters. The database is also the first large, publicly available Polish speech corpus of excellent acoustic quality that can be used for phonetic analysis and training of multi-speaker speech technology systems. The speech in the database is processed in a pipeline that achieves a 90{\%} degree of automation. It incorporates state-of-the-art, freely available tools enabling database expansion or adaptation to additional languages.",
}
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%0 Conference Proceedings
%T PRODIS - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in Polish
%A Malisz, Zofia
%A Foremski, Jan
%A Kul, Małgorzata
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F malisz-etal-2024-prodis-speech
%X We present a speech database and a phoneme-level language model of Polish. The database and model are designed for the analysis of prosodic and discourse factors interacting with predictability effects on acoustic parameters. The database is also the first large, publicly available Polish speech corpus of excellent acoustic quality that can be used for phonetic analysis and training of multi-speaker speech technology systems. The speech in the database is processed in a pipeline that achieves a 90% degree of automation. It incorporates state-of-the-art, freely available tools enabling database expansion or adaptation to additional languages.
%U https://aclanthology.org/2024.lrec-main.1144
%P 13068-13073
Markdown (Informal)
[PRODIS - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in Polish](https://aclanthology.org/2024.lrec-main.1144) (Malisz et al., LREC-COLING 2024)
ACL