Reconstruction of damaged spectrographic features for robust speech recognition

@inproceedings{Raj2000ReconstructionOD,
  title={Reconstruction of damaged spectrographic features for robust speech recognition},
  author={Bhiksha Raj and Michael L. Seltzer and Richard M. Stern},
  booktitle={INTERSPEECH},
  year={2000}
}
We present two missing-feature based algorithms that recover noise-corrupted regions of spectrographic representations of speech for noise-robust speech recognition. These algorithms modify the incoming feature vector without any changes to the speech recognition system, in contrast to previously-described approaches. The first approach clusters the feature vectors representing clean speech. Missing data are recovered by estimating the spectral cluster in each analysis frame based on the uncor… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 18 extracted citations