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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...

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Detalles Bibliográficos
Autores principales: Tang, Duowei, Taseska, Maja, van Waterschoot, Toon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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