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Alberto N. Escalante
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2020 – today
- 2023
- [c14]Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas Maier:
DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement. INTERSPEECH 2023: 2008-2009 - [c13]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas Maier:
Deep Multi-Frame Filtering for Hearing Aids. INTERSPEECH 2023: 3869-3873 - [i9]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas K. Maier:
DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement. CoRR abs/2305.08227 (2023) - 2022
- [j5]Hendrik Schröter
, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas K. Maier
Low Latency Speech Enhancement for Hearing Aids Using Deep Filtering. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2716-2728 (2022) - [c12]Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas Maier:
Deepfilternet: A Low Complexity Speech Enhancement Framework for Full-Band Audio Based On Deep Filtering. ICASSP 2022: 7407-7411 - [c11]Hendrik Schröter, Andreas K. Maier, Alberto N. Escalante-B., Tobias Rosenkranz:
Deepfilternet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio. IWAENC 2022: 1-5 - [i8]Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas K. Maier:
DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio. CoRR abs/2205.05474 (2022) - 2021
- [c10]Metehan Yurt, Pavan Kantharaju, Sascha Disch, Andreas Niedermeier, Alberto N. Escalante-B., Veniamin I. Morgenshtern:
Fricative Phoneme Detection Using Deep Neural Networks and its Comparison to Traditional Methods. Interspeech 2021: 51-55 - [c9]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas K. Maier:
LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement. Interspeech 2021: 656-660 - [i7]Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas K. Maier:
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering. CoRR abs/2110.05588 (2021) - 2020
- [j4]Alberto N. Escalante-B.
Improved graph-based SFA: information preservation complements the slowness principle. Mach. Learn. 109(5): 999-1037 (2020) - [c8]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding. ICASSP 2020: 6949-6953 - [c7]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Pascal Zobel, Andreas Maier:
Lightweight Online Noise Reduction on Embedded Devices Using Hierarchical Recurrent Neural Networks. INTERSPEECH 2020: 1121-1125 - [i6]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNet: Deep learning-based Noise Reduction for Hearing Aids using Complex Linear Coding. CoRR abs/2001.10218 (2020) - [i5]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Pascal Zobel, Andreas K. Maier:
Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks. CoRR abs/2006.13067 (2020) - [i4]Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Andreas K. Maier:
CLC: Complex Linear Coding for the DNS 2020 Challenge. CoRR abs/2006.13077 (2020)
2010 – 2019
- 2019
- [c6]Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott:
Measuring the Data Efficiency of Deep Learning Methods. ICPRAM 2019: 691-698 - [i3]Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott:
Measuring the Data Efficiency of Deep Learning Methods. CoRR abs/1907.02549 (2019) - 2017
- [b1]Alberto Nicolás Escalante Bañuelos:
Extensions of hierarchical slow feature analysis for efficient classsification and regression on high-dimensional data. Bochum University, Germany, 2017 - 2016
- [j3]Alberto N. Escalante-B., Laurenz Wiskott:
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. J. Mach. Learn. Res. 17: 157:1-157:36 (2016) - [i2]Alberto N. Escalante-B., Laurenz Wiskott:
Improved graph-based SFA: Information preservation complements the slowness principle. CoRR abs/1601.03945 (2016) - 2015
- [i1]Alberto N. Escalante-B., Laurenz Wiskott:
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. CoRR abs/1509.08329 (2015) - 2013
- [j2]Alberto N. Escalante, Laurenz Wiskott:
How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis. J. Mach. Learn. Res. 14(1): 3683-3719 (2013) - 2012
- [j1]Alberto N. Escalante, Laurenz Wiskott
Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm. Künstliche Intell. 26(4): 341-348 (2012) - 2011
- [c5]Alberto N. Escalante, Laurenz Wiskott
Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis. ICMLA (1) 2011: 133-138 - 2010
- [c4]Alberto N. Escalante, Laurenz Wiskott
Gender and Age Estimation from Synthetic Face Images. IPMU 2010: 240-249
2000 – 2009
- 2008
- [c3]Frederik Armknecht
Secure Multi-Coupons for Federated Environments: Privacy-Preserving and Customer-Friendly. ISPEC 2008: 29-44 - 2007
- [c2]Liqun Chen
A Privacy-Protecting Multi-Coupon Scheme with Stronger Protection Against Splitting. Financial Cryptography 2007: 29-44 - [c1]Alberto N. Escalante, Hans Löhr
A Non-Sequential Unsplittable Privacy-Protecting Multi-Coupon Scheme. GI Jahrestagung (2) 2007: 184-188
Coauthor Index
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