LREC 2000 2nd 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 Børge (Center for PersonKommunikation (CPK), Aalborg, Denmark)
Lehtinen Gunnar (Swiss Federal Institute of Technology (ETH), Zurich, Switzerland)
Kačič Zdravko (Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000 Maribor,
Žgank 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
Full Paper, 274.pdf
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.