LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

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Title The COST 249 SpeechDat Multilingual Reference Recogniser

Authors Johansen Finn Tore (Telenor R&D, Kjeller, Norway)
Warakagoda Narada (Telenor R&D, Kjeller, Norway)
Lindberg Borge (Center for PersonKommunikation (CPK), Aalborg, Denmark)
Lehtinen Gunnar (Swiss Federal Institute of Technology (ETH), Zurich, Switzerland)
Kacic Zdravko (Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor, kacic@uni-mb.si)
Zgank Andreh (University of Maribor, Slovenia)
Elenius Kjell (University of Maribor, Slovenia)
Salvi Gampiero (Kungliga Tekniska H¨ ogskolan (KTH), Stockholm, Sweden)

Keywords Multi-Linguality, Reference Systems, Telephony Speech Databases

Session Session SO6 - Recognition

Abstract The COST 249 SpeechDat reference recogniser is a fully automatic, language-independent training procedure for building a phonetic recogniser. It relies on the HTK toolkit and a SpeechDat(II) compatible database. The recogniser is designed to serve as a reference system in multilingual recognition research. This paper documents version 0.95 of the reference recogniser and presents results on small and medium vocabulary recognition for five languages.

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Title	The COST 249 SpeechDat Multilingual Reference Recogniser
Authors	Johansen Finn Tore (Telenor R&D, Kjeller, Norway) Warakagoda Narada (Telenor R&D, Kjeller, Norway) Lindberg Borge (Center for PersonKommunikation (CPK), Aalborg, Denmark) Lehtinen Gunnar (Swiss Federal Institute of Technology (ETH), Zurich, Switzerland) Kacic Zdravko (Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor, kacic@uni-mb.si) Zgank Andreh (University of Maribor, Slovenia) Elenius Kjell (University of Maribor, Slovenia) Salvi Gampiero (Kungliga Tekniska H¨ ogskolan (KTH), Stockholm, Sweden)
Keywords	Multi-Linguality, Reference Systems, Telephony Speech Databases
Session	Session SO6 - Recognition
Abstract	The COST 249 SpeechDat reference recogniser is a fully automatic, language-independent training procedure for building a phonetic recogniser. It relies on the HTK toolkit and a SpeechDat(II) compatible database. The recogniser is designed to serve as a reference system in multilingual recognition research. This paper documents version 0.95 of the reference recogniser and presents results on small and medium vocabulary recognition for five languages.