Projects per year
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 language | English |
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Number of pages | 33 |
Journal | LANGUAGE RESOURCES AND EVALUATION |
DOIs | |
Publication status | E-pub ahead of print - 9 Aug 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Automatic speech recognition
- Gender, age, dialect and topic recognition
- Speech collection
- Spoken colloquial language
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Wav2Vec2 model checkpoint from Moisio et al. "Lahjoita puhetta – a large-scale corpus of spoken Finnish with some benchmarks"
Getman, Y. (Creator), Zenodo, 2022
Dataset: Software or code
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Lahjoita puhetta semisupervised baseline Kaldi ASR model
Grósz, T. (Creator), Zenodo, 2022
Dataset: Software or code
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USSEE: Understanding Speech and Scene with Ears and Eyes
Kurimo, M., Virkkunen, A. & Grósz, T.
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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-: Movie Making Finland: Finnish fiction films as audiovisual big data, 1907-2017
Kurimo, M., Virkkunen, A., Moisio, A., Porjazovski, D. & Kathania, H.
01/01/2020 → 31/12/2022
Project: Academy of Finland: Other research funding
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DigiTala: Aka-Digi Tala
Kurimo, M., Al-Ghezi, R., Getman, Y. & Voskoboinik, E.
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding