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Szymon Drgas
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2020 – today
- 2024
- [j8]Szymon Drgas:
Speech intelligibility prediction using generalized ESTOI with fine-tuned parameters. Speech Commun. 159: 103068 (2024) - [j7]Szymon Drgas, Lars Bramsløw, Archontis Politis, Gaurav Naithani, Tuomas Virtanen:
Dynamic Processing Neural Network Architecture for Hearing Loss Compensation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 203-214 (2024) - 2023
- [j6]Szymon Drgas:
A Survey on Low-Latency DNN-Based Speech Enhancement. Sensors 23(3): 1380 (2023) - [i4]Szymon Drgas, Lars Bramsløw, Archontis Politis, Gaurav Naithani, Tuomas Virtanen:
Dynamic Processing Neural Network Architecture For Hearing Loss Compensation. CoRR abs/2310.16550 (2023) - 2022
- [j5]Tomasz Grzywalski, Szymon Drgas:
Speech enhancement using U-nets with wide-context units. Multim. Tools Appl. 81(13): 18617-18639 (2022) - [j4]Tomasz Grzywalski, Szymon Drgas:
Speech Enhancement by Multiple Propagation through the Same Neural Network. Sensors 22(7): 2440 (2022) - 2021
- [j3]Szymon Drgas, Tuomas Virtanen:
Joint speaker separation and recognition using non-negative matrix deconvolution with adaptive dictionary. Comput. Speech Lang. 70: 101223 (2021) - 2020
- [c18]Tomasz Grzywalski, Szymon Drgas:
Speech enhancement by iterating forward pass through U-net. SPA 2020: 157-162
2010 – 2019
- 2019
- [c17]Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys:
Interactive Lungs Auscultation with Reinforcement Learning Agent. ICAART (2) 2019: 824-832 - [c16]Tomasz Grzywalski, Szymon Drgas:
Using Recurrences in Time and Frequency within U-net Architecture for Speech Enhancement. ICASSP 2019: 6970-6974 - [i3]Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys:
Interactive Lungs Auscultation with Reinforcement Learning Agent. CoRR abs/1907.11238 (2019) - 2018
- [c15]Talar Sadalla, Piotr Kozierski, Dariusz Horla, Wojciech Giernacki, Szymon Drgas:
Particle Filtering in Servo Drive Velocity Control with Fractional-Order PI Controller. AUTOMATION 2018: 265-275 - [c14]Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszynski, Krzysztof Szarzynski:
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection. IEEE BigData 2018: 5247-5251 - [c13]Piotr Kozierski, Talar Sadalla, Szymon Drgas, Adam Dabrowski, Joanna Zietkiewicz, Wojciech Giernacki:
Acoustic Model Training, using Kaldi, for Automatic Whispery Speech Recognition. FedCSIS (Position Papers) 2018: 109-114 - [c12]Piotr Kozierski, Jacek Michalski, Talar Sadalla, Wojciech Giernacki, Joanna Zietkiewicz, Szymon Drgas:
New Grid for Particle Filtering of Multivariable Nonlinear Objects. FedCSIS 2018: 1073-1077 - [c11]Tomasz Grzywalski, Szymon Drgas:
Application of recurrent U-net architecture to speech enhancement. SPA 2018: 82-87 - [i2]Tomasz Grzywalski, Szymon Drgas:
Using recurrences in time and frequency within U-net architecture for speech enhancement. CoRR abs/1811.06805 (2018) - [i1]Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszynski, Krzysztof Szarzynski:
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection. CoRR abs/1812.05888 (2018) - 2017
- [j2]Szymon Drgas, Tuomas Virtanen, Jörg Lücke, Antti Hurmalainen:
Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1644-1656 (2017) - [c10]Piotr Kozierski, Talar Sadalla, Szymon Drgas, Adam Dabrowski, Wojciech Giemacki:
Polish whispery speech recognition - Minimum sampling frequency. MMAR 2017: 611-615 - [c9]Piotr Kozierski, Talar Sadalla, Szymon Drgas, Adam Dabrowski, Joanna Zietkiewicz:
The impact of vocabulary size and language model order on the polish whispery speech recognition. MMAR 2017: 616-621 - 2016
- [c8]Piotr Kozierski, Talar Sadalla, Adam Owczarkowski, Szymon Drgas:
Particle filter in multidimensional systems. MMAR 2016: 806-810 - [c7]Piotr Kozierski, Talar Sadalla, Szymon Drgas, Adam Dabrowski:
Allophones in automatic whispery speech recognition. MMAR 2016: 811-815 - [c6]Szymon Drgas, Rafal Zdunek:
Automatic tuning of hyperparameters for NMF-based face recognition system. SPA 2016: 40-44 - 2015
- [j1]Szymon Drgas, Adam Dabrowski:
Speaker recognition based on multilevel speech signal analysis on Polish corpus. Multim. Tools Appl. 74(12): 4195-4211 (2015) - [c5]Szymon Drgas, Tuomas Virtanen:
Speaker Verification Using Adaptive Dictionaries in Non-negative Spectrogram Deconvolution. LVA/ICA 2015: 462-469 - 2012
- [c4]Szymon Drgas, Adam Dabrowski:
Speaker Recognition Based on Multilevel Speech Signal Analysis on Polish Corpus. MCSS 2012: 85-94 - 2011
- [c3]Szymon Drgas, Adam Dabrowski:
Kernel Alignment Maximization for Speaker Recognition Based on High-Level Features. INTERSPEECH 2011: 489-492 - [c2]Tomasz Marciniak, Szymon Drgas, Damian Cetnarowicz:
Fast Face Localisation Using AdaBoost Algorithm and Identification with Matrix Decomposition Methods. MCSS 2011: 242-250
2000 – 2009
- 2007
- [c1]Szymon Drgas, Adam Dabrowski:
Application of Slope Filtering to Robust Spectral Envelope Extraction for Speech/Speaker Recognition. LTC 2007: 13-23
Coauthor Index
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last updated on 2024-06-03 00:09 CEST by the dblp team
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