Neural network-based selective noise control with sound source separation
Author:
Affiliation:
1. Graduate School of Environment and Information Sciences, Yokohama National University
Publisher
Japan Society of Mechanical Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/transjsme/89/928/89_23-00047/_pdf
Reference16 articles.
1. Boll, S. F., Suppression of acoustic noise in speech using spectral subtraction, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 27, No. 2 (1979), pp. 113–120.
2. Demmi, S. and Shiraishi, T., Noise control for a moving evaluation point by using neural networks modifying their structures and learning rates, Transactions of the JSME (in Japanese), Vol. 88, No. 910 (2022), DOI: 10.1299/transjsme.22-00043.
3. Jutten, C. and Herault, J., Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture, Signal Processing, Vol. 24, No. 1 (1991), pp. 1–10.
4. Kaneko, S. and Okuma, M., Machine Dynamics Handbook (2015), p. 533, Asakura Publishing Co., Ltd. (in Japanese).
5. Komatsuzaki, T., Sato, H., Iwata, Y. and Ogawa, K., Free-space active noise control of moving evaluation point, Transactions of the JSME (Series C), Vol. 72, No. 718 (2006), pp. 1723–1729 (in Japanese).
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