An application of recurrent nets to phone probability estimation

@article{Robinson1994AnAO,
  title={An application of recurrent nets to phone probability estimation},
  author={A. Robinson},
  journal={IEEE transactions on neural networks},
  year={1994},
  volume={5 2},
  pages={
          298-305
        }
}
  • A. Robinson
  • Published 1994
  • Medicine, Computer Science
  • IEEE transactions on neural networks
  • This paper presents an application of recurrent networks for phone probability estimation in large vocabulary speech recognition. The need for efficient exploitation of context information is discussed; a role for which the recurrent net appears suitable. An overview of early developments of recurrent nets for phone recognition is given along with the more recent improvements that include their integration with Markov models. Recognition results are presented for the DARPA TIMIT and Resource… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Explore key concepts

    Links to highly relevant papers for key concepts in this paper:

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 419 CITATIONS

    Stochastic observation hidden Markov models

    Hierarchical Structures of Neural Networks for Phoneme Recognition

    VIEW 3 EXCERPTS
    CITES BACKGROUND

    Connectionist probability estimators in HMM speech recognition

    VIEW 2 EXCERPTS
    CITES BACKGROUND & METHODS

    Sparse connection and pruning in large dynamic artificial neural networks

    VIEW 6 EXCERPTS
    CITES BACKGROUND, METHODS & RESULTS
    HIGHLY INFLUENCED

    Improved phone recognition using Bayesian triphone models

    • Ji Ming, Francis Jack Smith
    • Computer Science
    • Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181)
    • 1998

    FILTER CITATIONS BY YEAR

    1993
    2020

    CITATION STATISTICS

    • 17 Highly Influenced Citations

    • Averaged 15 Citations per year from 2018 through 2020

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 88 REFERENCES

    Continuous speech recognition using multilayer perceptrons with hidden Markov models

    • N. Morgan, H. Bourlard
    • Computer Science
    • International Conference on Acoustics, Speech, and Signal Processing
    • 1990

    CDNN: a context dependent neural network for continuous speech recognition

    A Maximum Likelihood Approach to Continuous Speech Recognition

    Links Between Markov Models and Multilayer Perceptrons

    MMI training for continuous phoneme recognition on the TIMIT database