Items where Author is " Kocsor András"

Gosztolya Gábor, Dombi József, Kocsor András: Applying the Generalized Dombi Operator Family to the Speech Recognition Task.
CIT JOURNAL OF COMPUTING AND INFORMATION TECHNOLOGY, 17 (3). pp. 285-293. ISSN 1330-1136 (2009)

Kocsor András, Busa-Fekete Róbert, Bánhalmi András: Whitening-based feature space transformations in a speech impediment therapy system.
Lecture Notes in Computer Science, 4629. pp. 222-229. ISSN 0302-9743 (2007)

Kocsor András, Gosztolya Gábor: The Use of Speed-Up Techniques for a Speech Recognizer System.
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 9 (3/4). pp. 95-107. ISSN 1381-2416 (2006)

Gosztolya Gábor, Kocsor András: Speeding up dynamic search methods in speech recognition.
In: Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005. Proceedings. Springer-Verlag, pp. 98-100. (2005) ISBN 978-3-540-26551-1

Gosztolya Gábor, Kocsor András: Aggregation Operators and Hypothesis Space Reductions in Speech Recognition.
In: Text, Speech and Dialogue: 7th International Conference, TSD 2004, Brno, Czech Republic, September 8-11, 2004. Proceedings. Springer, pp. 315-322. (2004) ISBN 978-3-540-23049-6

Tóth László, Kocsor András, Gosztolya Gábor: Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model.
ACTA CYBERNETICA-SZEGED, 16 (4). pp. 643-657. ISSN 0324-721X (2004)

Gosztolya Gábor, Kocsor András: Improving the Multi-stack Decoding Algorithm in a Segmentbased Speech Recognizer.
Lecture Notes in Computer Science, 2718. pp. 744-749. ISSN 0302-9743 (2003)

Gosztolya Gábor, Kocsor András, Tóth László, Felföldi László: Various Robust Search Methods in a Hungarian Speech Recognition System.
ACTA CYBERNETICA-SZEGED, 16 (2). pp. 229-240. ISSN 0324-721X (2003)

Kocsor András, Kuba András, Tóth László, Jelasity Márk, Felföldi László, Gyimóthy Tibor, Csirik János: A segment-based statistical speech recognition system for isolated/continuous number recognition.
In: The Sixth Fenno-Ugric Symposium on Software Technology, FUSST '99. pp. 200-211.