Exploració per autor "Temko, Andrey A."
Ara es mostren els items 1-5 de 5
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Acoustic event detection: SVM-based system and evaluation setup in CLEAR’07
Temko, Andrey A.; Nadeu Camprubí, Climent; Isaac, Joan Biel (2008)
Article
Accés obertIn this paper, the Acoustic Event Detection (AED) system developed at the UPC is described, and its results in the CLEAR evaluations carried out in March 2007 are reported. The system uses a set of features composed of ... -
Classification of acoustic events using SVM-based clustering schemes
Temko, Andrey A.; Nadeu Camprubí, Climent (2006)
Article
Accés obertAcoustic events produced in controlled environments may carry information useful for perceptually aware interfaces. In this paper we focus on the problem of classifying 16 types of meeting-room acoustic events. First of ... -
EEG signal description with spectral-envelope-based speech recognition features for detection of neonatal seizures
Temko, Andrey A.; Nadeu Camprubí, Climent; Marnane, W.; Boylan, G.B.; Lightbody, G. (2011-11-21)
Article
Accés restringit per política de l'editorialIn this paper, features which are usually employed in automatic speech recognition (ASR) are used for the detection of seizures in newborn EEG. In particular, spectral envelope-based features, composed of spectral powers ... -
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds
Temko, Andrey A.; Macho Ciena, Dusan; Nadeu Camprubí, Climent (2008)
Article
Accés obertAcoustic event classification may help to describe acoustic scenes and contribute to improve the robustness of speech technologies. In this work, fusion of different information sources with the fuzzy integral (FI), and ... -
Inclusion of video information for detection of acoustic events using the fuzzy integral
Butko, Taras; Temko, Andrey A.; Nadeu Camprubí, Climent; Canton Ferrer, Cristian (2008-01-01)
Article
Accés obertWhen applied to interactive seminars, the detection of acoustic events from only audio information shows a large amount of errors, which are mostly due to the temporal overlaps of sounds. Video signals may be a useful ...