Projects per year
Abstract
For children, the system trained on a large corpus of adult speakers performed worse than a system trained on a much smaller corpus of children’s speech. This is due to the acoustic mismatch between training and testing data. To capture more acoustic variability we trained a shared system with mixed data from adults and children. The shared system yields the best EER for children with no degradation for adults. Thus, the single system trained with mixed data is applicable for speaker verification for both adults and children.
Original language | English |
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Title of host publication | Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31-June 2, 2021 |
Place of Publication | Sweden |
Publisher | Linköping University Electronic Press |
Pages | 86-93 |
Number of pages | 8 |
ISBN (Electronic) | 978-91-7929-614-8 |
Publication status | Published - 2021 |
MoE publication type | A4 Conference publication |
Event | Nordic Conference on Computational Linguistics - Reykjavik, Iceland Duration: 31 May 2021 → 2 Jun 2021 |
Publication series
Name | Linköping Electronic Conference Proceedings |
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Number | 178 |
ISSN (Print) | 1650-3686 |
ISSN (Electronic) | 1650-3740 |
Conference
Conference | Nordic Conference on Computational Linguistics |
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Abbreviated title | NoDaLiDa |
Country/Territory | Iceland |
City | Reykjavik |
Period | 31/05/2021 → 02/06/2021 |
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Dive into the research topics of 'Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces'. Together they form a unique fingerprint.Projects
- 1 Finished
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MeMAD: Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy
Kurimo, M., Grönroos, S., Brander, T., Porjazovski, D., Raitio, R., Rouhe, A., Grósz, T. & Virkkunen, A.
27/12/2017 → 31/03/2021
Project: EU: Framework programmes funding