Author:
Wang Chunxi,Jia Maoshen,Zhang Yanyan,Li Lu
Publisher
Engineering and Technology Publishing
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software
Reference19 articles.
1. [1] D. Wang and J. Chen, "Supervised speech separation based on deep learning: An overview," IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 10, pp. 1702-1726, Oct. 2018.
2. [2] Z. Chen, Y. Luo, and N. Mesgarani, "Deep attractor network for single-microphone speaker separation," in Proc. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017, pp. 246-250.
3. [3] Y. Luo, Z. Chen, and T. Yoshioka, "Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation," in Proc. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 46-50.
4. [4] X. Hu, K. Li, W. Zhang, et al., "Speech separation using an asynchronous fully recurrent convolutional neural network," Advances in Neural Information Processing Systems, vol. 34, pp. 22509-22522, 2021.
5. [5] M. Gao, Y. Gao, and F. Pei, "DNN-based speech separation with joint improved distortion constraints," in Proc. 2021 14th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2021, pp. 5-8.
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