| Using separate losses for speech and noise in mask-based speech enhancement Z Xu, S Elshamy, T Fingscheidt ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 20 | 2020 |
| Components loss for neural networks in mask-based speech enhancement Z Xu, S Elshamy, Z Zhao, T Fingscheidt EURASIP Journal on Audio, Speech, and Music Processing 2021 (1), 24, 2021 | 16 | 2021 |
| Deep noise suppression maximizing non-differentiable PESQ mediated by a non-intrusive PESQNet Z Xu, M Strake, T Fingscheidt IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1572-1585, 2022 | 14 | 2022 |
| Deep noise suppression with non-intrusive pesqnet supervision enabling the use of real training data Z Xu, M Strake, T Fingscheidt arXiv preprint arXiv:2103.17088, 2021 | 13 | 2021 |
| Improving convolutional recurrent neural networks for speech emotion recognition P Meyer, Z Xu, T Fingscheidt 2021 IEEE Spoken Language Technology Workshop (SLT), 365-372, 2021 | 13 | 2021 |
| Concatenated identical DNN (CI-DNN) to reduce noise-type dependence in DNN-based speech enhancement Z Xu, M Strake, T Fingscheidt 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 8 | 2019 |
| On the effects of speaker gender in emotion recognition training data Z Xu, P Meyer, T Fingscheidt Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 7 | 2018 |
| A priori SNR estimation using discriminative non-negative matrix factorization Z Xu, S Elshamy, T Fingscheidt 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 3 | 2018 |
| Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN Z Xu, Z Zhao, T Fingscheidt IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 3404 - 3417, 2023 | 2 | 2023 |
| Does a PESQNet (Loss) require a clean reference input? The original PESQ does, but ACR listening tests don’t Z Xu, M Strake, T Fingscheidt 2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022 | 2 | 2022 |
