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This paper addresses infant cry classification in multi-view settings, that is, settings where the typical low-level representations, commonly used for audio recognition tasks, are considered as different views of the target data. We show that
through the use of multi-view methods, such as Structured Latent Multi-View Representation Learning, we are able to reliably discriminate between normal and pathological infant cry signals. Extensive experimental results on two benchmark
infant cry data sets indicate that the proposed method outperforms state-of-the-art models.
through the use of multi-view methods, such as Structured Latent Multi-View Representation Learning, we are able to reliably discriminate between normal and pathological infant cry signals. Extensive experimental results on two benchmark
infant cry data sets indicate that the proposed method outperforms state-of-the-art models.
Originele taal-2 | English |
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Titel | Springer Lecture Notes in Computer Science. Pattern Recognition and Image Analysis. |
Subtitel | 11th Iberian Conference on Pattern Recognition and Image Analysis Alicante, Spain, Proceedings. June 27-30, 2023 |
Redacteuren | Antonio Pertusa, Antonio Javier Gallego, Joan Andreu Sánchez, Inês Domingues |
Uitgeverij | Springer, Cham |
Pagina's | 639–653 |
Aantal pagina's | 15 |
Volume | 14062 |
ISBN van elektronische versie | 978-3-031-36616-1 |
ISBN van geprinte versie | 978-3-031-36615-4 |
DOI's | |
Status | Published - 25 jun 2023 |
Evenement | Iberian Conference on Pattern Recognition and Image Analysis - Alicante, Spain Duur: 27 jun 2023 → 30 jun 2023 Congresnummer: 11th http://www.ibpria.org/2023/ |
Conference
Conference | Iberian Conference on Pattern Recognition and Image Analysis |
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Verkorte titel | IbPRIA 2023 |
Land/Regio | Spain |
Stad | Alicante |
Periode | 27/06/23 → 30/06/23 |
Internet adres |
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