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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-...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| 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 |