Adaptation of Deep Learning Speech Separator to Self-coupling Laser Microphone as Optical Noise Reducer

The self-coupled signal from a laser microphone contains several noise components. The noise was reduced using a speech separation machine learning transformer model, and the signal-to-noise ratio improved to 2.24 dB.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/cleo-pr60912.2024.10676654
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
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article

Adaptation of Deep Learning Speech Separator to Self-coupling Laser Microphone as Optical Noise Reducer

Daisuke Mizushima, Takemasa Okita, Norio Tsuda
Semiconductor Lasers and Optical Devices
article

Adaptation of Deep Learning Speech Separator to Self-coupling Laser Microphone as Optical Noise Reducer

Daisuke Mizushima, Takemasa Okita, Norio Tsuda
article en

Abstract

The self-coupled signal from a laser microphone contains several noise components. The noise was reduced using a speech separation machine learning transformer model, and the signal-to-noise ratio improved to 2.24 dB.

Aichi Institute of Technology (JP)
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Openalex Percentile: Top 87%
Semiconductor Lasers and Optical Devices
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Adaptation of Deep Learning Speech Separator to Self-coupling Laser Microphone as Optical Noise Reducer — Daisuke Mizushima, Takemasa Okita, et al. · (2024) | TGRS Research Map | TGRS