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Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus
We have developed a sparse mathematical representation of speech that minimizes the number of active model neurons needed to represent typical speech sounds. The model learns several well-known acoustic features of speech such as harmonic stacks, formants, onsets and terminations, but we also find m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395612/ https://www.ncbi.nlm.nih.gov/pubmed/22807665 http://dx.doi.org/10.1371/journal.pcbi.1002594 |