ISCA Archive Eurospeech 1999
ISCA Archive Eurospeech 1999

Using various language model smoothing techniques for the transcription of a weather forecast broadcasted by the czech radio

Ludek Müller, Josef Psutka

This paper presents an experimental speech recognition system used to transcribe a weather forecast broadcasted by the Czech radio. The system is based on the HMM with mixture Gaussian continuous densities and is designed as a speaker independent. To overcome very sparse training data various language models supported by smoothing of model parameters based on the leaving-one-out technique, discounting and backing-off approach were tested. The results of recognition experiments are discussed in the paper.


doi: 10.21437/Eurospeech.1999-357

Cite as: Müller, L., Psutka, J. (1999) Using various language model smoothing techniques for the transcription of a weather forecast broadcasted by the czech radio. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 1783-1786, doi: 10.21437/Eurospeech.1999-357

@inproceedings{muller99b_eurospeech,
  author={Ludek Müller and Josef Psutka},
  title={{Using various language model smoothing techniques for the transcription of a weather forecast broadcasted by the czech radio}},
  year=1999,
  booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
  pages={1783--1786},
  doi={10.21437/Eurospeech.1999-357}
}