Spectral entropy feature in full-combination multi-stream for robust ASR

  title={Spectral entropy feature in full-combination multi-stream for robust ASR},
  author={Hemant Misra and Herv{\'e} Bourlard},
In a recent paper, we reported promising automatic speech recognition results obtained by appending spectral entropy features to PLP features. In the present paper, spectral entropy features are used along with PLP features in multi-stream framework. In our multi-stream hidden Markov model/artificial neural network system, we train a separate multi-layered perceptron (MLP) for PLP features, spectral entropy features and both the features combined by concatenation. The output posteriors from… CONTINUE READING
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Publications referenced by this paper.

The NOISEX-92 study on the affect of additive noise on automatic speech recognition

  • Hynek Hermansky, “Perceptual linear predictive analysis of speech, +83 authors D. Jones
  • Technical report, DRA Speech Research Unit…
  • 1992
2 Excerpts

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