Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference43 articles.
1. Bahmaninezhad, F., Wu, J. Y., Gu, R., Zhang, S.-X., Xu, Y., & Yu, M., et al. (2019). A comprehensive study of speech separation: spectrogram vs waveform separation. In INTERSPEECH.
2. On the importance of early reflections for speech in rooms;Bradley;The Journal of the Acoustical Society of America,2003
3. SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition;Drude,2019
4. A regression approach to single-channel speech separation via high-resolution deep neural networks;Du;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2016
5. Simultaneous denoising and dereverberation using deep embedding features;Fan,2020
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献