Efficient Speech Enhancement Using Recurrent Convolution Encoder and Decoder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08313-6.pdf
Reference25 articles.
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2. Liu, H.-P., Tsao, Y., & Fuh, C.-S. (2018). Bone-conducted speech enhancement using deep denoisingautoencoder. Speech Communication, 104, 106–112.
3. Tu, J., & Xia, Y. (2018). Effective Kalman filtering algorithm for distributed multichannel speech enhancement. Neurocomputing, 275, 144–154.
4. He, Q., Bao, F., & Bao, C. (2017). Multiplicative update of auto-regressive gains for codebook-based speech enhancement. IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 25, 457–468.
5. Henni, R., Djendi, M., & Djebari, M. (2019). A new efficient two-channel fast transversal adaptive filtering algorithm for blind speech enhancement and acoustic noise reduction. Computers & Electrical Engineering, 73, 349–368.
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