Simulating speech processing with cochlear implants: How does channel interaction affect learning in neural networks?

We introduce a novel machine learning approach for investigating speech processing with cochlear implants (CIs)—prostheses used to replace a damaged inner ear. Concretely, we use a simple perceptron and a deep convolutional network to classify speech spectrograms that are modified to approximate CI-...

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Detalles Bibliográficos
Autores principales: Grimm, Robert, Pettinato, Michèle, Gillis, Steven, Daelemans, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392264/
https://www.ncbi.nlm.nih.gov/pubmed/30811448
http://dx.doi.org/10.1371/journal.pone.0212134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392264/
https://www.ncbi.nlm.nih.gov/pubmed/30811448
http://dx.doi.org/10.1371/journal.pone.0212134

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