State based imputation of missing data for robust speech recognition and speech enhancement

@inproceedings{Josifovski1999StateBI,
  title={State based imputation of missing data for robust speech recognition and speech enhancement},
  author={Ljubomir Josifovski and Martin Cooke and Phil D. Green and Ascension Vizinho},
  booktitle={EUROSPEECH},
  year={1999}
}
Within the context of continuous-density HMM speech recognition in noise, we report on imputation of missing time-frequency regions using emission state probability distributions. Spectral subtraction and local signal–to– noise estimation based criteria are used to separate the present from the missing components. We consider two approaches to the problem of classification with missing data: marginalization and data imputation. A formalism for data imputation based on the probability… CONTINUE READING

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