A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons
Author:
Affiliation:
1. Luleå University of Technology,Embedded Intelligent Systems Lab (EISLAB),Luleå,Sweden,971 87
2. Zernike Institute for Advanced Materials, University of Groningen,Bio-Inspired Circuits and Systems (BICS) Lab,Groningen,The Netherlands,9747 AG
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191938.pdf?arnumber=10191938
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1. The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the Environment
2. Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting
3. TIDIGITS LDC93S10;leonard;Web Download Philadelphia Linguistic Data Consortium,1993
4. A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
5. A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
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