Time Domain Speech Enhancement with CNN and Time-Attention Transformer
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics
Reference85 articles.
1. Gupta, M., Singh, R. K., & Singh, S. (2023). Analysis of Optimized Spectral Subtraction Method for Single Channel Speech Enhancement. Wireless Personal Communications, 128(3), 2203-2215.
2. Chen, J., Benesty, J., Huang, Y., & Doclo, S. (2006). New insights into the noise reduction Wiener filter. IEEE Transactions on audio, speech, and language processing, 14(4), 1218-1234.
3. Saleem, N., Khattak, M. I., Nawaz, A., Umer, F., & Ochani, M. K. (2021). Perceptually weighted β-order spectral amplitude Bayesian estimator for phase compensated speech enhancement. Applied Acoustics, 178, 108007.
4. Wang, D., & Chen, J. (2018). Supervised speech separation based on deep learning: An overview. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(10), 1702-1726.
5. Jiang, W., & Yu, K. (2023). Speech Enhancement With Integration of Neural Homomorphic Synthesis and Spectral Masking. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
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