@inproceedings{mihajlik-etal-2024-spoken-hungarian,
title = "Is Spoken {H}ungarian Low-resource?: A Quantitative Survey of {H}ungarian Speech Data Sets",
author = {Mihajlik, Peter and
M{\'a}dy, Katalin and
Koh{\'a}ri, Anna and
Fruzsina, Fruzsina S{\'a}ra and
Kiss, G{\'a}bor and
Gr{\'a}czi, Tekla Etelka and
Do{\u{g}}ru{\"o}z, A. Seza},
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.820",
pages = "9382--9388",
abstract = "Even though various speech data sets are available in Hungarian, there is a lack of a general overview about their types and sizes. To fill in this gap, we provide a survey of available data sets in spoken Hungarian in five categories (e.g., monolingual, Hungarian part of multilingual, pathological, child-related and dialectal collections). In total, the estimated size of available data is about 2800 hours (across 7500 speakers) and it represents a rich spoken language diversity. However, the distribution of the data and its alignment to real-life (e.g. speech recognition) tasks is far from optimal indicating the need for additional larger-scale natural language speech data sets. Our survey presents an overview of available data sets for Hungarian explaining their strengths and weaknesses which is useful for researchers working on Hungarian across disciplines. In addition, our survey serves as a starting point towards a unified foundational speech model specific to Hungarian.",
}
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<abstract>Even though various speech data sets are available in Hungarian, there is a lack of a general overview about their types and sizes. To fill in this gap, we provide a survey of available data sets in spoken Hungarian in five categories (e.g., monolingual, Hungarian part of multilingual, pathological, child-related and dialectal collections). In total, the estimated size of available data is about 2800 hours (across 7500 speakers) and it represents a rich spoken language diversity. However, the distribution of the data and its alignment to real-life (e.g. speech recognition) tasks is far from optimal indicating the need for additional larger-scale natural language speech data sets. Our survey presents an overview of available data sets for Hungarian explaining their strengths and weaknesses which is useful for researchers working on Hungarian across disciplines. In addition, our survey serves as a starting point towards a unified foundational speech model specific to Hungarian.</abstract>
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%0 Conference Proceedings
%T Is Spoken Hungarian Low-resource?: A Quantitative Survey of Hungarian Speech Data Sets
%A Mihajlik, Peter
%A Mády, Katalin
%A Kohári, Anna
%A Fruzsina, Fruzsina Sára
%A Kiss, Gábor
%A Gráczi, Tekla Etelka
%A Doğruöz, A. Seza
%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 mihajlik-etal-2024-spoken-hungarian
%X Even though various speech data sets are available in Hungarian, there is a lack of a general overview about their types and sizes. To fill in this gap, we provide a survey of available data sets in spoken Hungarian in five categories (e.g., monolingual, Hungarian part of multilingual, pathological, child-related and dialectal collections). In total, the estimated size of available data is about 2800 hours (across 7500 speakers) and it represents a rich spoken language diversity. However, the distribution of the data and its alignment to real-life (e.g. speech recognition) tasks is far from optimal indicating the need for additional larger-scale natural language speech data sets. Our survey presents an overview of available data sets for Hungarian explaining their strengths and weaknesses which is useful for researchers working on Hungarian across disciplines. In addition, our survey serves as a starting point towards a unified foundational speech model specific to Hungarian.
%U https://aclanthology.org/2024.lrec-main.820
%P 9382-9388
Markdown (Informal)
[Is Spoken Hungarian Low-resource?: A Quantitative Survey of Hungarian Speech Data Sets](https://aclanthology.org/2024.lrec-main.820) (Mihajlik et al., LREC-COLING 2024)
ACL
- Peter Mihajlik, Katalin Mády, Anna Kohári, Fruzsina Sára Fruzsina, Gábor Kiss, Tekla Etelka Gráczi, and A. Seza Doğruöz. 2024. Is Spoken Hungarian Low-resource?: A Quantitative Survey of Hungarian Speech Data Sets. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9382–9388, Torino, Italia. ELRA and ICCL.