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Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks

The Donate Speech campaign has so far succeeded in gathering approximately 3600 h of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of...

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Autores principales: Moisio, Anssi, Porjazovski, Dejan, Rouhe, Aku, Getman, Yaroslav, Virkkunen, Anja, AlGhezi, Ragheb, Lennes, Mietta, Grósz, Tamás, Lindén, Krister, Kurimo, Mikko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362968/
https://www.ncbi.nlm.nih.gov/pubmed/35965738
http://dx.doi.org/10.1007/s10579-022-09606-3
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author Moisio, Anssi
Porjazovski, Dejan
Rouhe, Aku
Getman, Yaroslav
Virkkunen, Anja
AlGhezi, Ragheb
Lennes, Mietta
Grósz, Tamás
Lindén, Krister
Kurimo, Mikko
author_facet Moisio, Anssi
Porjazovski, Dejan
Rouhe, Aku
Getman, Yaroslav
Virkkunen, Anja
AlGhezi, Ragheb
Lennes, Mietta
Grósz, Tamás
Lindén, Krister
Kurimo, Mikko
author_sort Moisio, Anssi
collection PubMed
description The Donate Speech campaign has so far succeeded in gathering approximately 3600 h of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. In this paper, we present the collection process and the collected corpus, and showcase its versatility through multiple use cases. The evaluated use cases include: automatic speech recognition of spontaneous speech, detection of age, gender, dialect and topic and metadata analysis. We provide benchmarks for the use cases, as well downloadable, trained baseline systems with open-source code for reproducibility. One further use case is to verify the metadata and transcripts given in this corpus itself, and to suggest artificial metadata and transcripts for the part of the corpus where it is missing.
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spelling pubmed-93629682022-08-10 Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks Moisio, Anssi Porjazovski, Dejan Rouhe, Aku Getman, Yaroslav Virkkunen, Anja AlGhezi, Ragheb Lennes, Mietta Grósz, Tamás Lindén, Krister Kurimo, Mikko Lang Resour Eval Original Paper The Donate Speech campaign has so far succeeded in gathering approximately 3600 h of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of Finland and from all age brackets. The primary goals of the collection were to create a representative, large-scale resource to study spontaneous spoken Finnish and to accelerate the development of language technology and speech-based services. In this paper, we present the collection process and the collected corpus, and showcase its versatility through multiple use cases. The evaluated use cases include: automatic speech recognition of spontaneous speech, detection of age, gender, dialect and topic and metadata analysis. We provide benchmarks for the use cases, as well downloadable, trained baseline systems with open-source code for reproducibility. One further use case is to verify the metadata and transcripts given in this corpus itself, and to suggest artificial metadata and transcripts for the part of the corpus where it is missing. Springer Netherlands 2022-08-09 /pmc/articles/PMC9362968/ /pubmed/35965738 http://dx.doi.org/10.1007/s10579-022-09606-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Moisio, Anssi
Porjazovski, Dejan
Rouhe, Aku
Getman, Yaroslav
Virkkunen, Anja
AlGhezi, Ragheb
Lennes, Mietta
Grósz, Tamás
Lindén, Krister
Kurimo, Mikko
Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title_full Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title_fullStr Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title_full_unstemmed Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title_short Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks
title_sort lahjoita puhetta: a large-scale corpus of spoken finnish with some benchmarks
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362968/
https://www.ncbi.nlm.nih.gov/pubmed/35965738
http://dx.doi.org/10.1007/s10579-022-09606-3
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