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Toward learning robust contrastive embeddings for binaural sound source localization
Recent deep neural network based methods provide accurate binaural source localization performance. These data-driven models map measured binaural cues directly to source locations hence their performance highly depend on the training data distribution. In this paper, we propose a parametric embeddi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709308/ https://www.ncbi.nlm.nih.gov/pubmed/36465690 http://dx.doi.org/10.3389/fninf.2022.942978 |