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...

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Detalles Bibliográficos
Autores principales: Hebbar, Rajat, Papadopoulos, Pavlos, Reyes, Ramon, Danvers, Alexander F., Polsinelli, Angelina J., Moseley, Suzanne A., Sbarra, David A., Mehl, Matthias R., Narayanan, Shrikanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research
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

Internet

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

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