MixSENet: A Lightweight Model for Speech Enhancement with Multi-Scale Features and Contextual Modeling.
Chuike Kong|Guangcun Wei|Shuo Li|Penghao Ma|Changhao Li
| Anthology ID: | DBLP:conf/mir/KongWLML25 |
|---|---|
| Volume: | Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025 |
| Year: | 2025 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 625-633 |
| URL: | https://doi.org/10.1145/3731715.3733391 |
| DOI: | https://doi.org/10.1145/3731715.3733391 |
| DBLP: | conf/mir/KongWLML25 |
| BibTeX: |
@inproceedings{kong-2025-mixsenet,
author = {Chuike Kong and
Guangcun Wei and
Shuo Li and
Penghao Ma and
Changhao Li},
editor = {Zhongfei Zhang and
Elisa Ricci and
Yan Yan and
Liqiang Nie and
Vincent Oria and
Lamberto Ballan},
title = {{MixSENet: A Lightweight Model for Speech Enhancement with Multi-Scale Features and Contextual Modeling}},
booktitle = {{Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025}},
pages = {625--633},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3731715.3733391},
doi = {https://doi.org/10.1145/3731715.3733391}
}