Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition

Abstract

The standard missing feature imputation approach to noiserobust automatic speech recognition requires that a single foreground/background segmentation mask is identified prior to reconstruction. This paper presents a novel imputation approach which more closely couples the identification and reconstruction of missing features by using a probabilistic… (More)

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@inproceedings{Ma2012CouplingIA, title={Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition}, author={Ning Ma and Jon Barker}, booktitle={INTERSPEECH}, year={2012} }