Auditory scene analysis and hidden Markov model recognition of speech in noise

@article{Green1995AuditorySA,
  title={Auditory scene analysis and hidden Markov model recognition of speech in noise},
  author={Phil D. Green and Martin Cooke and M. D. Crawford},
  journal={1995 International Conference on Acoustics, Speech, and Signal Processing},
  year={1995},
  volume={1},
  pages={401-404 vol.1}
}
We describe a novel paradigm for automatic speech recognition in noisy environments in which an initial stage of auditory scene analysis separates out the evidence for the speech to be recognised from the evidence for other sounds. In general, this evidence will be incomplete, since intruding sound sources will dominate some spectro-temporal regions. We generalise continuous-density hidden Markov model recognition to this 'occluded speech' case. The technique is based on estimating the… CONTINUE READING

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