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Lee, Woo Seok
복잡계 이론물리 연구단
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Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network

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Title
Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
Author(s)
Woo Seok Lee; Kim, Hyunjae; Cleland, Andrew N.; Ahn, Kang-Hun
Publication Date
2021-01
Journal
BIOINSPIRATION & BIOMIMETICS, v.16, no.2
Publisher
IOP PUBLISHING LTD
Abstract
In the human ear, the basilar membrane plays a central role in sound recognition. When excited by sound, this membrane responds with a frequency-dependent displacement pattern that is detected and identified by the auditory hair cells combined with the human neural system. Inspired by this structure, we designed and fabricated an artificial membrane that produces a spatial displacement pattern in response to an audible signal, which we used to train a convolutional neural network. When trained with single frequency tones, this system can unambiguously distinguish tones closely spaced in frequency. When instead trained to recognize spoken vowels, this system outperforms existing methods for phoneme recognition, including the discrete Fourier transform, zoom FFT and chirp z-transform, especially when tested in short time windows. This sound recognition scheme therefore promises significant benefits in fast and accurate sound identification compared to existing methods.
URI
https://pr.ibs.re.kr/handle/8788114/9891
DOI
10.1088/1748-3190/abc869
ISSN
1748-3182
Appears in Collections:
Center for Theoretical Physics of Complex Systems(복잡계 이론물리 연구단) > 1. Journal Papers (저널논문)
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