Spoken digit classification using a spin-wave delay-line active-ring reservoir computing

Stuart Watt; Mikhail Kostylev

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arXiv · 2005.12557

Spoken digit classification using a spin-wave delay-line active-ring reservoir computing

Stuart Watt·Mikhail Kostylev

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Abstract

As a test of general applicability, we use the recently proposed spin-wave delay line active-ring reservoir computer to perform the spoken digit recognition task. On this, classification accuracies of up to 93% are achieved. The tested device prototype employs improved spin wave transducers (antennas). Therefore, in addition, we also let the computer complete the short-term memory (STM) task and the parity check (PC) tasks, because the fading memory and nonlinearity are essential to reservoir computing performance. The resulting STM and PC capacities reach maximum values of 4.77 and 1.47 respectively.

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BibTeX RIS

Stuart Watt, Mikhail Kostylev. 2020-05-26. Spoken digit classification using a spin-wave delay-line active-ring reservoir computing. https://arxiv.org/abs/2005.12557

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