Improving low-complexity and real-time DeepFilterNet2 for personalized speech enhancement-Reference-Cited by-同舟云学术

Improving low-complexity and real-time DeepFilterNet2 for personalized speech enhancement

Published:2024-04-23 Issue:2 Volume:27 Page:299-306
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Wang Shilin,Guan Haixin,Wei Shuang,Long Yanhua^ORCID

Funder

The National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10772-024-10101-z.pdf

Reference33 articles.

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2. Dubey, H., Aazami, A., Gopal, V., Naderi, B., Braun, S., Cutler, R., Ju, A., Zohourian, M., Tang, M., Gamper, H., Golestaneh, M., & Aichner, R. (2023). ICASSP 2023 deep speech enhancement challenge, in arXiv preprint arXiv:2303.11510.

3. Dubey, H., Gopal, V., Cutler, R., Aazami, A., Matusevych, S., Braun, S., & Eskimez, S. E., Thakker, M., Yoshioka, T., Gamper, H., & Aichner, R. (2022). ICASSP 2022 deep noise suppression challenge. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (pp. 9271–9275).

4. Eskimez, S. E., Yoshioka, T., Wang, H., Wang, X., Chen, Z., & Huang, X. (2022). Personalized speech enhancement: New models and comprehensive evaluation. In IEEE International Conference on Acoustics, Speech and Signal Processing ICA SSP, (pp. 356–360).

5. Ge, X., Han, J., Guan, H., & Long, Y. (2022). Dynamic acoustic compensation and adaptive focal training for personalized speech enhancement, in arXiv preprint arXiv:2211.12097.