Using observation uncertainty in HMM decoding

  title={Using observation uncertainty in HMM decoding},
  author={Jon A. Arrowood and Mark A. Clements},
This paper proposes a new technique for adapting Hidden Markov Model (HMM) speech recognition systems to additive environmental noise by incorporating information about the uncertainty of observations. Current techniques, such as the Parallel Model Combination (PMC) algorithm [1], are successful in steady state noise environments. However, the computational requirements both in processing time and memory prevent its widespread use in continuously adaptive systems, necessary for environments… CONTINUE READING
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