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Péter Mihajlik Department of Telecommunications and Telematics, Budapest University of Technology and Economics 1117 Bp. Magyar tudósok körútja 2.

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Tibor Révész Department of Telecommunications and Telematics, Budapest University of Technology and Economics 1117 Bp. Magyar tudósok körútja 2

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Péter Tatai Department of Telecommunications and Telematics, Budapest University of Technology and Economics 1117 Bp. Magyar tudósok körútja 2

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This paper discusses automatic phonetic transcription to be applied in Hungarian speech recognition. It first deals with the basic technologies of automatic speech recognition (ASR) for the sake of readers not familiar with this scientific field, then it discusses the place of (automatic) phonetic transcription in ASR. After that, our method developed for transcribing Hungarian texts automatically is introduced. This technique is an extension of the traditional linear transcription approach; its output is called 'optioned' because it contains pronunciation options in parallel arcs. We present our experiences with promising improvements in recogniser training efficiency. The achievements are due to the application of deeper linguistic (phonological) knowledge. With the training technique developed not only the quality of the acoustic models can be enhanced, but also, at the same time, the amount of the required manual work can effectively be decreased.

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Editors

Editor(s)-in-Chief: Katalin É. Kiss,
Ferenc Kiefer

Editor: Éva Dékány

Technical Editor: Zoltán G. Kiss

Review Editor: Beáta Gyuris

Editorial Board

  • Anne Abeillé
  • Željko Bošković
  • Marcel den Dikken
  • Hans-Martin Gärtner
  • Elly van Gelderen
  • Anders Holmberg
  • Katarzyna Jaszczolt
  • István Kenesei
  • Anikó Lipták
  • Katalin Mády
  • Gereon Müller
  • Csaba Pléh
  • Giampaolo Salvi
  • Irina Sekerina
  • Péter Siptár
  • Gregory Stump
  • Peter Svenonius
  • Anne Tamm
  • Akira Watanabe
  • Jeroen van de Weijer

Acta Linguistica Academica
Address: Benczúr u. 33. HU–1068 Budapest, Hungary
Phone: (+36 1) 351 0413; (+36 1) 321 4830 ext. 154
Fax: (36 1) 322 9297
E-mail: ala@nytud.mta.hu

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Acta Linguistica Hungarica
Language English
Size  
Year of
Foundation
1951
Publication
Programme
changed title
Volumes
per Year
 
Issues
per Year
 
Founder Magyar Tudományos Akadémia  
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1216-8076 (Print)
ISSN 1588-2624 (Online)