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Seok-Jin Park

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Proceedings Article | 18 April 2023 Presentation + Paper

Cochlea-inspired sound visualization method

Seok-Jin Park, Hee-Beom Lee, Gi-Woo Kim

Proceedings Volume 12485, 1248505 (2023) https://doi.org/10.1117/12.2657817

KEYWORDS: Cochlea, Wave propagation, Visualization, Speech recognition, Edge detection, Vibration, Matrices, Windows, Acoustics, Image processing

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This study presents the initial study for a new approach to visualize an acoustic sound aimed at mimicking the traveling wave propagation of the basilar membrane within the human cochlea. Typically, a fast Fourier transform (FFT) is required to extract the frequency information from acoustic sound (i.e., voice) for speech recognition. Although this algorithm ensures real-time frequency extraction due to the inherent fast recursive structure, it is necessary to develop a new frequency selectivity technique for advanced speech recognition. We explore the potential of the cochlea-inspired sound visualization to deliver new frequency selectivity by using an image sensor. The experimental prototyping model is fabricated, and we capture images of frequency dependent wave propagation motion using a camera and reproduce 2D images through motion magnification. This approach offers a promising application for speech recognition systems because no FFT is required to extract the frequency information, although there are outstanding technical problems that need to be further examined.

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