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Abstract
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.
Original language | English |
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Title of host publication | Springer Lecture Notes in Computer Science. Pattern Recognition and Image Analysis. |
Subtitle of host publication | 11th Iberian Conference on Pattern Recognition and Image Analysis Alicante, Spain, Proceedings. June 27-30, 2023 |
Editors | Antonio Pertusa, Antonio Javier Gallego, Joan Andreu Sánchez, Inês Domingues |
Publisher | Springer, Cham |
Pages | 639–653 |
Number of pages | 15 |
Volume | 14062 |
ISBN (Electronic) | 978-3-031-36616-1 |
ISBN (Print) | 978-3-031-36615-4 |
DOIs | |
Publication status | Published - 25 Jun 2023 |
Event | Iberian Conference on Pattern Recognition and Image Analysis - Alicante, Spain Duration: 27 Jun 2023 → 30 Jun 2023 Conference number: 11th http://www.ibpria.org/2023/ |
Conference
Conference | Iberian Conference on Pattern Recognition and Image Analysis |
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Abbreviated title | IbPRIA 2023 |
Country/Territory | Spain |
City | Alicante |
Period | 27/06/23 → 30/06/23 |
Internet address |
Keywords
- Classification
- Infant cry
- Multi-view
Projects
- 2 Finished