Algorithmic Models for Supervectoring Calculation in Solving Base DSP Problems. - Alexandr P. Tariov; Tomasz Maka; Eduard Melnic (ACS, 2001)

A lossless compression system realization utilizing phit-serial network-on-chip paradigm. - Piotr Dziurzanski; Tomasz Maka; Grzegorz Ulacha; Ryszard Stasinski (EUSIPCO, 2007)

Stream Transfer Balancing Scheme Utilizing Multi-Path Routing in Networks on Chip. - Piotr Dziurzanski; Tomasz Maka (ARC, 2008)

Heuristics Core Mapping in On-Chip Networks for Parallel Stream-Based Applications. - Piotr Dziurzanski; Tomasz Maka (ICCS (1), 2008)

Virtual Path Implementation of Multi-stream Routing in Network on Chip. - Bartosz Chojnacki; Tomasz Maka; Piotr Dziurzanski (PaCT, 2011)

Environmental Background Sounds Classification Based on Properties of Feature Contours. - Tomasz Maka (IEA/AIE, 2013)

Core Mapping into an Irregular Network on Chip - Features Extraction System for Automatic Speech Recognition Case Study. - Piotr Dziurzanski; Tomasz Maka (PDP, 2013)

Attributes of audio feature contours for automatic singing evaluation. - Tomasz Maka (TSP, 2013)

Network on chips link bandwidth minimization of deadlock-free multi-path routing. - Piotr Dziurzanski; Tomasz Maka (IWSSIP, 2014)

Feature contours fusion for determining segment boundaries in audio data. - Tomasz Maka; Piotr Dziurzanski (IWSSIP, 2014)

Auditory Features Analysis for BIC-based Audio Segmentation. - Tomasz Maka (SIGMAP, 2014)

Investigating Combinations of Visual Audio Features and Distance Metrics in the Problem of Audio Classification. - Pawel Forczmanski; Tomasz Maka (CORES, 2015)

Environmental Sounds Recognition Based on Image Processing Methods. - Tomasz Maka; Pawel Forczmanski (CORES, 2015)

Influence of simultaneous spoken sentences on the properties of spectral peaks. - Tomasz Maka; Miroslaw Lazoryszczak (SPA, 2015)

Audio content analysis based on density of peaks in amplitude envelope. - Tomasz Maka (TSP, 2016)

Current mode detection in hard real-time automotive applications dedicated to many-core platforms. - Piotr Dziurzanski; Tomasz Maka (ReCoSoC, 2017)

Audio feature space analysis for acoustic scene classification. - Tomasz Maka (DCASE, 2018)

Detecting the Number of Speakers in Speech Mixtures by Human and Machine. - Tomasz Maka; Miroslaw Lazoryszczak (SPA, 2018)

Computationally Efficient Classification of Audio Events Using Binary Masked Cochleagrams. - Tomasz Maka (ICCS (3), 2019)

Influence of adaptive thresholding on peaks detection in audio data. - Tomasz Maka (Multim. Tools Appl., 2020)

DNN Architectures and Audio Representations Comparison for Emotional Speech Classification. - Lukasz Smietanka; Tomasz Maka (SoftCOM, 2021)

Augmented Transformer for Speech Detection in Adverse Acoustical Conditions. - Lukasz Smietanka; Tomasz Maka (SPA, 2023)

Interpreting Convolutional Layers in DNN Model Based on Time-Frequency Representation of Emotional Speech. - Lukasz Smietanka; Tomasz Maka (J. Artif. Intell. Soft Comput. Res., 2023)