Robust automatic speech recognition with missing and unreliable acoustic data

@article{Cooke2001RobustAS,
  title={Robust automatic speech recognition with missing and unreliable acoustic data},
  author={Martin Cooke and Phil D. Green and Ljubomir Josifovski and Ascension Vizinho},
  journal={Speech Communication},
  year={2001},
  volume={34},
  pages={267-285}
}
Abstract Human speech perception is robust in the face of a wide variety of distortions, both experimentally applied and naturally occurring. In these conditions, state-of-the-art automatic speech recognition (ASR) technology fails. This paper describes an approach to robust ASR which acknowledges the fact that some spectro-temporal regions will be dominated by noise. For the purposes of recognition, these regions are treated as missing or unreliable. The primary advantage of this viewpoint is… CONTINUE READING

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