Multi-Scale TCN: Exploring Better Temporal DNN Model for Causal Speech Enhancement
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Cited by 10 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
1. Supervised Attention Multi-Scale Temporal Convolutional Network for monaural speech enhancement;EURASIP Journal on Audio, Speech, and Music Processing;2024-04-11
2. Temporal Convolutional Network and its Application in Various Sectors;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25
3. A Multi-Scale Feature Aggregation Based Lightweight Network for Audio-Visual Speech Enhancement;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
4. A GARCH-Based Correction Method for Supervised Time Series Anomaly Detection;2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE);2023-01-06
5. Lite-RTSE: Exploring a Cost-Effective Lite DNN Model for Real-Time Speech Enhancement in RTC Scenarios;IEEE Signal Processing Letters;2023
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