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

Anssi Moisio*, Dejan Porjazovski, Aku Rouhe, Yaroslav Getman, Anja Virkkunen, Ragheb AlGhezi, Mietta Lennes, Tamás Grósz, Krister Lindén, Mikko Kurimo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
183 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)1295-1327
Number of pages33
JournalLANGUAGE RESOURCES AND EVALUATION
Volume57
Issue number3
Early online date9 Aug 2022
DOIs
Publication statusPublished - Sept 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • Automatic speech recognition
  • Gender, age, dialect and topic recognition
  • Speech collection
  • Spoken colloquial language

Fingerprint

Dive into the research topics of 'Lahjoita puhetta: a large-scale corpus of spoken Finnish with some benchmarks'. Together they form a unique fingerprint.

Cite this