Multi-stage strength estimation network with cross attention for single channel speech enhancement-Reference-Cited by-同舟云学术

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Multi-stage strength estimation network with cross attention for single channel speech enhancement

Published:2024-06-25 Issue:10 Volume:18 Page:6937-6948
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhang Zipeng,Ding Yuchen,Chen Wei,Chen Yutao,Guo Weiwei,Liu Houguang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Scholarships Council

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03364-1.pdf

Reference17 articles.

1. Priyanka, S.S., Kumar, T.K.: Multi-channel speech enhancement using early and late fusion convolutional neural networks. Signal Image Video Process. 17(4), 973–979 (2023)

2. Gay, S.L., Benesty, J.: Acoustic Signal Processing for Telecommunication vol. 551. Springer, Berlin (2012)

3. Shen, Y.-L., Huang, C.-Y., Wang, S.-S., Tsao, Y., Wang, H.-M., Chi, T.-S.: Reinforcement learning based speech enhancement for robust speech recognition. In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6750–6754 (2019). IEEE

4. Reddy, C.K.A., Shankar, N., Bhat, G.S., Charan, R., Panahi, I.: An individualized super-gaussian single microphone speech enhancement for hearing aid users with smartphone as an assistive device. IEEE Signal Process. Lett. 24(11), 1601–1605 (2017)

5. Bai, Z., Zhang, X.-L.: Speaker recognition based on deep learning: an overview. Neural Netw. 140, 65–99 (2021)

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