Y-Net FCRN for Acoustic Echo and Noise Suppression E Seidel, J Franzen, M Strake, T Fingscheidt arXiv preprint arXiv:2103.17189, 2021 | 27 | 2021 |
AEC in a netshell: On target and topology choices for FCRN acoustic echo cancellation J Franzen, E Seidel, T Fingscheidt ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 25 | 2021 |
Enhancing the EVS Codec in Wideband Mode by Blind Artificial Bandwidth Extension to Superwideband J Abel, E Seidel, T Fingscheidt 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 7 | 2018 |
Efficient deep acoustic echo suppression with condition-aware training E Seidel, P Mowlaee, T Fingscheidt 2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023 | 6 | 2023 |
Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control E Seidel, P Mowlaee, T Fingscheidt IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 2 | 2024 |
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering E Seidel, RK Olsson, K Haddad, Z Li, P Mowlaee, T Fingscheidt 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022 | 2 | 2022 |
Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression E Seidel, P Mowlaee, T Fingscheidt ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
Neural Kalman Filters for Acoustic Echo Cancellation E Seidel, G Enzner, P Mowlaee, T Fingscheidt arXiv preprint arXiv:2501.16367, 2025 | | 2025 |
Neural Kalman Filters for Acoustic Echo Cancellation: Comparison of deep neural network-based extensions [Special Issue On Model-Based and Data-Driven Audio Signal Processing] E Seidel, G Enzner, P Mowlaee, T Fingscheidt IEEE Signal Processing Magazine 41 (6), 24-38, 2025 | | 2025 |
Efficient Acoustic Echo Suppression with Condition-Aware Training E Seidel, P Mowlaee, T Fingscheidt arXiv preprint arXiv:2307.15630, 2023 | | 2023 |