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Deep multiple instance learning for foreground speech localization in ambient audio from wearable devices
Over the recent years, machine learning techniques have been employed to produce state-of-the-art results in several audio related tasks. The success of these approaches has been largely due to access to large amounts of open-source datasets and enhancement of computational resources. However, a sho...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858549/ https://www.ncbi.nlm.nih.gov/pubmed/33584835 http://dx.doi.org/10.1186/s13636-020-00194-0 |