A Noise Robust Multilingual Reference Recogniser Based on Speechdat(II)

@inproceedings{Lindberg2000ANR,
  title={A Noise Robust Multilingual Reference Recogniser Based on Speechdat(II)},
  author={B\orge Lindberg and Finn Tore Johansen and Narada D. Warakagoda and Gunnar Lehtinen and Zdravko Kacic and Andrej Zgank and Kjell Elenius and Giampiero Salvi},
  booktitle={INTERSPEECH},
  year={2000}
}
An important aspect of noise robustness of automatic speech recognisers (ASR) is the proper handling of non-speech acoustic events. The present paper describes further improvements of an already existing reference recogniser towards achieving such kind of robustness. The reference recogniser applied is the COST 249 SpeechDat reference recogniser, which is a fully automatic, language-independent training procedure for building a phonetic recogniser (http://www.telenor.no/fou/prosjekter/taletek… CONTINUE READING
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