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Hauptverfasser: Hopponen, Satu, Kinnunen, Tomi, Nikolaev, Alexandre, Hautamäki, Rosa González, Tavi, Lauri, Meister, Einar
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2506.08981
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author Hopponen, Satu
Kinnunen, Tomi
Nikolaev, Alexandre
Hautamäki, Rosa González
Tavi, Lauri
Meister, Einar
author_facet Hopponen, Satu
Kinnunen, Tomi
Nikolaev, Alexandre
Hautamäki, Rosa González
Tavi, Lauri
Meister, Einar
contents We introduce a new FROST-EMA (Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography) corpus. It consists of 18 bilingual speakers, who produced speech in their native language (L1), second language (L2), and imitated L2 (fake foreign accent). The new corpus enables research into language variability from phonetic and technological points of view. Accordingly, we include two preliminary case studies to demonstrate both perspectives. The first case study explores the impact of L2 and imitated L2 on the performance of an automatic speaker verification system, while the second illustrates the articulatory patterns of one speaker in L1, L2, and a fake accent.
format Preprint
id arxiv_https___arxiv_org_abs_2506_08981
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle FROST-EMA: Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography Measurements with L1, L2 and Imitated L2 Accents
Hopponen, Satu
Kinnunen, Tomi
Nikolaev, Alexandre
Hautamäki, Rosa González
Tavi, Lauri
Meister, Einar
Computation and Language
We introduce a new FROST-EMA (Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography) corpus. It consists of 18 bilingual speakers, who produced speech in their native language (L1), second language (L2), and imitated L2 (fake foreign accent). The new corpus enables research into language variability from phonetic and technological points of view. Accordingly, we include two preliminary case studies to demonstrate both perspectives. The first case study explores the impact of L2 and imitated L2 on the performance of an automatic speaker verification system, while the second illustrates the articulatory patterns of one speaker in L1, L2, and a fake accent.
title FROST-EMA: Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography Measurements with L1, L2 and Imitated L2 Accents
topic Computation and Language
url https://arxiv.org/abs/2506.08981