prof. dr hab. inż. Andrzej Czyżewski
Employment
- Head of Department at Department of Multimedia Systems
- Professor at Department of Multimedia Systems
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- andczyze@pg.edu.pl
Professor
- Workplace
-
Budynek A Elektroniki
room EA 733 open in new tab - Phone
- (58) 347 13 01
- Andrzej.Czyzewski@eti.pg.edu.pl
Head of Department
- Workplace
- Gmach Elektroniki Telekomunikacji i Informatyki pokój 733
- Phone
- (58) 347 13 01
Publication showcase
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An audio-visual corpus for multimodal automatic speech recognition
review of available audio-visual speech corpora and a description of a new multimodal corpus of English speech recordings is provided. The new corpus containing 31 hours of recordings was created specifically to assist audio-visual speech recognition systems (AVSR) development. The database related to the corpus includes high-resolution, high-framerate stereoscopic video streams from RGB cameras, depth imaging stream utilizing Time-of-Flight...
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Detection, classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations
Evaluation of sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for discerning between the events being in focus and the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the...
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Detection and localization of selected acoustic events in acoustic field for smart surveillance applications
A method for automatic determination of position of chosen sound events such as speech signals and impulse sounds in 3-dimensional space is presented. The evens are localized in the presence of sound reflections employing acoustic vector sensors. Human voice and impulsive sounds are detected using adaptive detectors based on modified peak-valley difference (PVD) parameter and sound pressure level. Localization based on signals...
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