A
Andrej Zgank
Researcher at University of Maribor
Publications - 44
Citations - 1299
Andrej Zgank is an academic researcher from University of Maribor. The author has contributed to research in topics: Acoustic model & Language model. The author has an hindex of 12, co-authored 38 publications receiving 1128 citations.
Papers
More filters
Qualinet White Paper on Definitions of Quality of Experience
Kjell Brunnström,Sergio Beker,Katrien De Moor,Ann Dooms,Sebastian Egger,Marie-Neige Garcia,Tobias Hossfeld,Satu Jumisko-Pyykkö,Christian Keimel,Mohamed-Chaker Larabi,Bob Lawlor,Patrick Le Callet,Sebastian Möller,Fernando Pereira,Manuela Pereira,Andrew Perkis,Jesenka Pibernik,Antonio M. G. Pinheiro,Alexander Raake,Peter Reichl,Ulrich Reiter,Raimund Schatz,Peter Schelkens,Lea Skorin-Kapov,Dominik Strohmeier,Christian Timmerer,Martin Varela,Ina Wechsung,Junyong You,Andrej Zgank +29 more
TL;DR: The concepts and ideas cited in this paper mainly refer to the Quality of Experience of multimedia communication systems, but may be helpful also for other areas where QoE is an issue, and the document will not reflect the opinion of each individual person at all points.
Book ChapterDOI
Factors Influencing Quality of Experience
Ulrich Reiter,Kjell Brunnström,Katrien De Moor,Katrien De Moor,Mohamed-Chaker Larabi,Manuela Pereira,Antonio M. G. Pinheiro,Junyong You,Andrej Zgank +8 more
TL;DR: In this chapter different factors that may influence Quality of Experience (QoE) in the context of media consumption, networked services, and other electronic communication services and applications, are discussed.
Proceedings Article
A Noise Robust Multilingual Reference Recogniser Based on Speechdat(II).
Børge Lindberg,Finn Tore Johansen,Narada D. Warakagoda,Gunnar Lehtinen,Zdravko Kacic,Andrej Zgank,Kjell Elenius,Giampiero Salvi +7 more
TL;DR: In this paper, the COST 249 SpeechDat reference recogniser is used to improve the robustness of automatic speech recognisers against non-speech acoustic events in the context of multilingual speech recognition.
Journal ArticleDOI
Bee Swarm Activity Acoustic Classification for an IoT-Based Farm Service.
TL;DR: The evaluation results showed that good acoustic classification performance can be achieved with the proposed IoT-based bee activity acoustic classification system, and the objective was to successfully classify sound between the normal and swarming conditions in a beehive.
Proceedings Article
The cost 249 speechdat multilingual reference recogniser
Finn Tore Johansen,Narada D. Warakagoda,Børge Lindberg,Gunnar Lehtinen,Zdravko Kacic,Andrej Zgank,Kjell Elenius,Giampiero Salvi +7 more
TL;DR: The COST 249 SpeechDat reference recogniser is a fully automatic, language-independent training procedure for building a phonetic recogniser that relies on the HTK toolkit and a SpeechDat(II) compat ...