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A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech Recognition
This paper presents a real-time, low-complexity neuromorphic speech recognition system using a spiking silicon cochlea, a feature extraction module and a population encoding method based Neural Engineering Framework (NEF)/Extreme Learning Machine (ELM) classifier IC. Several feature extraction metho...
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| Vydáno v: | Front Neurosci |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5882819/ https://ncbi.nlm.nih.gov/pubmed/29643760 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00160 |
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