An uncertainty decoding approach to noise- and reverberation-robust speech recognition

@article{Maas2013AnUD,
  title={An uncertainty decoding approach to noise- and reverberation-robust speech recognition},
  author={Roland Maas and Akshaya Thippur and Armin Sehr and Walter Kellermann},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={7388-7392}
}
The generic REMOS (REverberation MOdeling for robust Speech recognition) concept is extended in this contribution to cope with additional noise components. REMOS originally embeds an explicit reverberation model into a hiddenMarkov model (HMM) leading to a relaxed conditional independence assumption for the observed feature vectors. During recognition, a nonlinear optimization problem is to be solved in order to adapt the HMMs' output probability density functions to the current reverberation… CONTINUE READING

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A model-based approach to joint compensation of noise and reverberation for speech recognition

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