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Alberto N. Escalante-B.
Alberto N. Escalante-B.
Research Assistant, Ruhr-University Bochum
Zweryfikowany adres z ini.rub.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Deepfilternet: A low complexity speech enhancement framework for full-band audio based on deep filtering
H Schroter, AN Escalante-B, T Rosenkranz, A Maier
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
482022
How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis
AN Escalante-B., L Wiskott
The Journal of Machine Learning Research 14 (1), 3683-3719, 2013
432013
A privacy-protecting multi-coupon scheme with stronger protection against splitting
L Chen, AN Escalante-B., H Löhr, M Manulis, AR Sadeghi
Financial Cryptography and Data Security, 29-44, 2007
332007
Deepfilternet2: Towards real-time speech enhancement on embedded devices for full-band audio
H Schröter, A Maier, AN Escalante-B, T Rosenkranz
2022 International Workshop on Acoustic Signal Enhancement (IWAENC), 1-5, 2022
272022
Secure multi-coupons for federated environments: privacy-preserving and customer-friendly
F Armknecht, AN Escalante-B., H Löhr, M Manulis, AR Sadeghi
Information Security Practice and Experience, 29-44, 2008
212008
Improved graph-based SFA: Information preservation complements the slowness principle
AN Escalante-B, L Wiskott
Machine Learning, 1-39, 2019
162019
Clcnet: Deep learning-based noise reduction for hearing aids using complex linear coding
H Schröter, T Rosenkranz, AN Escalante-B, M Aubreville, A Maier
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
152020
Slow feature analysis: Perspectives for technical applications of a versatile learning algorithm
AN Escalante-B, L Wiskott
KI-Künstliche Intelligenz 26, 341-348, 2012
152012
Measuring the data efficiency of deep learning methods
HD Hlynsson, L Wiskott
arXiv preprint arXiv:1907.02549, 2019
142019
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs
AN Escalante-B., L Wiskott
Journal of Machine Learning Research 17 (157), 1-36, 2016
13*2016
Low latency speech enhancement for hearing aids using deep filtering
H Schröter, T Rosenkranz, AN Escalante-B, A Maier
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2716-2728, 2022
102022
Gender and age estimation from synthetic face images
AN Escalante B, L Wiskott
Computational Intelligence for Knowledge-Based Systems Design: 13th …, 2010
102010
Heuristic evaluation of expansions for non-linear hierarchical slow feature analysis
AN Escalante-B, L Wiskott
2011 10th International Conference on Machine Learning and Applications and …, 2011
92011
A non-sequential unsplittable privacy-protecting multi-coupon scheme
AN Escalante B, H Löhr, AR Sadeghi
Gesellschaft für Informatik e. V., 2007
82007
Lightweight online noise reduction on embedded devices using hierarchical recurrent neural networks
H Schröter, T Rosenkranz, P Zobel, A Maier
arXiv preprint arXiv:2006.13067, 2020
72020
LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement.
H Schröter, T Rosenkranz, AN Escalante-B, AK Maier
Interspeech, 656-660, 2021
52021
Privacy-protecting multi-coupon schemes with stronger protection against splitting
AN Escalante
Master's Thesis. Department of Computer Science, Saarland University, 2008
42008
Extensions of Hierarchical Slow Feature Analysis for Efficient Classification and Regression on High-Dimensional Data
AN Escalante-B.
Ruhr University Bochum, 2017
2017
Improved graph-based SFA: Information preservation complements the slowness principle
AN Escalante-B., L Wiskott
arXiv preprint arXiv:1601.03945, 2016
2016
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