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2020 – today
- 2021
[j5]Ziyi Xu
, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt:
Components loss for neural networks in mask-based speech enhancement. EURASIP J. Audio Speech Music. Process. 2021(1): 24 (2021)- 2020
- [b1]Samy Elshamy:
Speech Enhancement Exploiting the Source-Filter Model. Braunschweig University of Technology, Germany, 2020 - [j4]Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
Multichannel speaker interference reduction using frequency domain adaptive filtering. EURASIP J. Audio Speech Music. Process. 2020(1): 1-17 (2020) - [c13]Patrick Meyer, Samy Elshamy, Jan Franzen, Tim Fingscheidt:
Multichannel Acoustic Echo Cancellation Applied to Microphone Leakage Reduction in Meetings. EUSIPCO 2020: 201-205 - [c12]Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings. ICASSP 2020: 451-455 - [c11]Ziyi Xu, Samy Elshamy, Tim Fingscheidt:
Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement. ICASSP 2020: 7519-7523
2010 – 2019
- 2019
- [j3]Samy Elshamy, Tim Fingscheidt:
DNN-Based Cepstral Excitation Manipulation for Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1803-1814 (2019) - [c10]Samy Elshamy, Tim Fingscheidt:
Improvement of Speech Residuals for Speech Enhancement. WASPAA 2019: 219-223 - [c9]Ziyue Zhao, Samy Elshamy, Tim Fingscheidt:
A Perceptual Weighting Filter Loss for DNN Training In Speech Enhancement. WASPAA 2019: 229-233 - [i2]Ziyue Zhao, Samy Elshamy, Tim Fingscheidt:
A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement. CoRR abs/1905.09754 (2019) - [i1]Ziyi Xu, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt:
Components Loss for Neural Networks in Mask-Based Speech Enhancement. CoRR abs/1908.05087 (2019) - 2018
- [j2]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2460-2474 (2018) - [c8]Patrick Meyer, Samy Elshamy:
Good Noise Power Estimators Are Not Always Good. ITG Symposium on Speech Communication 2018: 1-5 - [c7]Ziyi Xu, Samy Elshamy, Tim Fingscheidt:
A Priori SNR Estimation Using Discriminative Non-Negative Matrix Factorization. ICASSP 2018: 661-665 - [c6]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation. IWAENC 2018: 351-355 - [c5]Ziyue Zhao, Samy Elshamy, Huijun Liu, Tim Fingscheidt:
A CNN Postprocessor to Enhance Coded Speech. IWAENC 2018: 406-410 - 2017
- [j1]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1592-1605 (2017) - [c4]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Two-stage speech enhancement with manipulation of the cepstral excitation. HSCMA 2017: 106-110 - 2015
- [c3]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
An iterative speech model-based a priori SNR estimator. INTERSPEECH 2015: 1740-1744 - 2014
- [c2]Marc-André Jung, Samy Elshamy, Tim Fingscheidt:
An automotive wideband stereo acoustic echo canceler using frequency-domain adaptive filtering. EUSIPCO 2014: 1452-1456 - 2012
- [c1]Marcus Ludwig, Franziska Hufsky, Samy Elshamy, Sebastian Böcker:
Finding Characteristic Substructures for Metabolite Classes. GCB 2012: 23-38
Coauthor Index
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