dCoNNear: An Artifact-Free Neural Network Architecture for Closed-Loop Audio Signal Processing
- DOI
- 10.1109/taslpro.2025.3622985
- Published
- 2025
- Container
- IEEE Transactions on Audio, Speech and Language Processing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/taslpro.2025.3622985,
title = {dCoNNear: An Artifact-Free Neural Network Architecture for Closed-Loop Audio Signal Processing},
author = {Chuan Wen and Guy Torfs and Sarah Verhulst},
year = {2025},
journal = {IEEE Transactions on Audio, Speech and Language Processing},
doi = {10.1109/taslpro.2025.3622985},
url = {https://doi.org/10.1109/taslpro.2025.3622985}
}RIS
TY - JOUR TI - dCoNNear: An Artifact-Free Neural Network Architecture for Closed-Loop Audio Signal Processing AU - Chuan Wen AU - Guy Torfs AU - Sarah Verhulst PY - 2025 JO - IEEE Transactions on Audio, Speech and Language Processing DO - 10.1109/taslpro.2025.3622985 UR - https://doi.org/10.1109/taslpro.2025.3622985 ER -
APA
Wen, C., Torfs, G., & Verhulst, S. (2025). dCoNNear: An Artifact-Free Neural Network Architecture for Closed-Loop Audio Signal Processing. IEEE Transactions on Audio, Speech and Language Processing. https://doi.org/10.1109/taslpro.2025.3622985
Source records
- crossref · retrieved 2026-09-25T17:08:18.091Z