Application of Slope Filtering to Robust Spectral Envelope Extraction for Speech/Speaker Recognition. - Szymon Drgas; Adam Dabrowski (LTC, 2007)

Kernel Alignment Maximization for Speaker Recognition Based on High-Level Features. - Szymon Drgas; Adam Dabrowski (INTERSPEECH, 2011)

Fast Face Localisation Using AdaBoost Algorithm and Identification with Matrix Decomposition Methods. - Tomasz Marciniak; Szymon Drgas; Damian Cetnarowicz (MCSS, 2011)

Speaker Verification Using Adaptive Dictionaries in Non-negative Spectrogram Deconvolution. - Szymon Drgas; Tuomas Virtanen (LVA/ICA, 2015)

Speaker recognition based on multilevel speech signal analysis on Polish corpus. - Szymon Drgas; Adam Dabrowski (Multim. Tools Appl., 2015)

Allophones in automatic whispery speech recognition. - Piotr Kozierski; Talar Sadalla; Szymon Drgas; Adam Dabrowski (MMAR, 2016)

Particle filter in multidimensional systems. - Piotr Kozierski; Talar Sadalla; Adam Owczarkowski; Szymon Drgas (MMAR, 2016)

Automatic tuning of hyperparameters for NMF-based face recognition system. - Szymon Drgas; Rafal Zdunek (SPA, 2016)

Polish whispery speech recognition - Minimum sampling frequency. - Piotr Kozierski; Talar Sadalla; Szymon Drgas; Adam Dabrowski; Wojciech Giemacki (MMAR, 2017)

The impact of vocabulary size and language model order on the polish whispery speech recognition. - Piotr Kozierski; Talar Sadalla; Szymon Drgas; Adam Dabrowski; Joanna Zietkiewicz (MMAR, 2017)

Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning. - Szymon Drgas; Tuomas Virtanen; Jörg Lücke; Antti Hurmalainen (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Particle Filtering in Servo Drive Velocity Control with Fractional-Order PI Controller. - Talar Sadalla; Piotr Kozierski; Dariusz Horla; Wojciech Giernacki; Szymon Drgas (AUTOMATION, 2018)

Parameterization of Sequence of MFCCs for DNN-based voice disorder detection. - Tomasz Grzywalski; Adam Maciaszek; Adam Biniakowski; Jan Orwat; Szymon Drgas; Mateusz Piecuch; Riccardo Belluzzo; Krzysztof Joachimiak; Dawid Niemiec; Jakub Ptaszynski; Krzysztof Szarzynski (IEEE BigData, 2018)

New Grid for Particle Filtering of Multivariable Nonlinear Objects. - Piotr Kozierski; Jacek Michalski; Talar Sadalla; Wojciech Giernacki; Joanna Zietkiewicz; Szymon Drgas (FedCSIS, 2018)

Acoustic Model Training, using Kaldi, for Automatic Whispery Speech Recognition. - Piotr Kozierski; Talar Sadalla; Szymon Drgas; Adam Dabrowski; Joanna Zietkiewicz; Wojciech Giernacki (FedCSIS (Position Papers), 2018)

Application of recurrent U-net architecture to speech enhancement. - Tomasz Grzywalski; Szymon Drgas (SPA, 2018)

Interactive Lungs Auscultation with Reinforcement Learning Agent. - Tomasz Grzywalski; Riccardo Belluzzo; Szymon Drgas; Agnieszka Cwalinska; Honorata Hafke-Dys (ICAART (2), 2019)

Using Recurrences in Time and Frequency within U-net Architecture for Speech Enhancement. - Tomasz Grzywalski; Szymon Drgas (ICASSP, 2019)

Speech enhancement by iterating forward pass through U-net. - Tomasz Grzywalski; Szymon Drgas (SPA, 2020)

Joint speaker separation and recognition using non-negative matrix deconvolution with adaptive dictionary. - Szymon Drgas; Tuomas Virtanen (Comput. Speech Lang., 2021)

Speech enhancement using U-nets with wide-context units. - Tomasz Grzywalski; Szymon Drgas (Multim. Tools Appl., 2022)

Speech Enhancement by Multiple Propagation through the Same Neural Network. - Tomasz Grzywalski; Szymon Drgas (Sensors, 2022)

A Survey on Low-Latency DNN-Based Speech Enhancement. - Szymon Drgas (Sensors, 2023)

Speech intelligibility prediction using generalized ESTOI with fine-tuned parameters. - Szymon Drgas (Speech Commun., 2024)

Dynamic Processing Neural Network Architecture for Hearing Loss Compensation. - Szymon Drgas; Lars Bramsløw; Archontis Politis; Gaurav Naithani; Tuomas Virtanen (IEEE ACM Trans. Audio Speech Lang. Process., 2024)