Rafal Samborski

Rafal Samborski
Consonance

PhD

About

10
Publications
2,875
Reads
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109
Citations
Introduction
Entrepreneur with strong technical and academic background. CEO and co-founder of Cardiomatics (AI tool for cardiac data analysis) and Consonance (R&D studio for medical devices). Rafał is author and coauthor of peer-reviewed research articles in the field of digital signal processing. He has a PhD and MSc in Electronics from the AGH University of Science and Technology in Krakow.
Additional affiliations
January 2017 - January 2021
Cardiomatics
Position
  • CEO
April 2014 - July 2016
VoicePIN.com
Position
  • Project Manager
October 2009 - July 2016
AGH University of Science and Technology in Kraków
Position
  • Researcher

Publications

Publications (10)
Article
Full-text available
Monitoring of the condition of the fetus, early detection of its threats and correct response to these threats are the basic tasks of modern prena- tal medicine. Decision-making implies serious health effects and should therefore be based on the most accu- rate clinical data and results of possi- bly objective measures. With the con- tinuous develo...
Article
Full-text available
Playback attacks constitute one of the biggest threats in biometric speaker verification systems, in which a previously recorded passphrase is played back by an unprivileged person in order to gain access. This paper features a description of the playback attack detection (PAD) algorithm, designed to protect text-dependent speaker verification syst...
Conference Paper
Full-text available
Some of existing conference system employ a distant microphone array instead of microphones dedicated for each user. This approach is much more convenient although suffers from much higher noise sensitivity. One of the possible solutions is employing beamforming techniques to focus on the user that is speaking at the moment. However, beamformer nee...
Article
Full-text available
In this paper filer-based model of sound propagation combined with a model of multimicrophone array is presented. Simple operations employed in the model such as sum and linear convolution allows one to implement it easily using numerical methods. Additionally, described solution was discussed in connection with filter-based model of multimicrophon...
Article
Full-text available
The paper presents successful experiments on combining two speaker recognition methods into a hybrid system. The �rst branch of recognition is an innovative approach based on discrete wavelet-Fourier transform. The second one is classic, based on HTK and classi�cation into voice and unvoice segments. The hybrid solution outperforms both on a small...
Conference Paper
Full-text available
This paper suggests a speech enhancement approach to an eavesdropping audio system. Speech signal is disturbed by non-stochastic noise. The algorithm is based on recordings from dual-microphone system. The Wiener filter was applied for speech extraction. The algorithm is designed to capture dialogues in noisy environment as well. It uses the small...
Conference Paper
Full-text available
This paper presents two different methods of speech ex-traction: cross-correlation analysis and adaptive filtering. Algorithms are designed to extract conversations in noisy environment. Such situations can appear in police inves-tigations' materials or multi-speaker environment. Noise can be added intentionally by suspects or not intentionally (e....
Conference Paper
Full-text available
This paper presents a model of a system which is able to support Police investigations. The listening in system acquires audio signals from two microphones located around one meter to each other. System is designed to record suspect conversations under disadvantageous conditions like the loud music or the car machine noise. The presented method use...

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