PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss-Reference-Cited by-同舟云学术

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PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss

Published:2020-10-25 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2020
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Author:

Isik Umut,Giri Ritwik,Phansalkar Neerad,Valin Jean-Marc,Helwani Karim,Krishnaswamy Arvindh

Publisher

ISCA

Cited by 56 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. DConvT: Deep Convolution-Transformer Network Utilizing Multi-scale Temporal Attention for Speech Enhancement;2024 Tenth International Conference on Communications and Electronics (ICCE);2024-07-31

2. Scale-aware dual-branch complex convolutional recurrent network for monaural speech enhancement;Computer Speech & Language;2024-06

3. SICRN: Advancing Speech Enhancement through State Space Model and Inplace Convolution Techniques;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. MusicECAN: An Automatic Denoising Network for Music Recordings With Efficient Channel Attention;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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