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In addition, there is a strong interchange of techniques and applications between missing fea- ture recognition and the field of computational auditory scene.
Sep 26, 2005 · We reviewed the mathematics of four major missing feature techniques: the feature-imputation techniques of cluster-based reconstruction and ...
B. Raj, M.L. Seltzer, and R.M. Stern, “Reconstruction of missing features for robust speech recognition,'' Speech Communication, 2004.
Results confirm the effectiveness of all types of missing feature approaches discussed in ameliorating the effects of both stationary and transient noise, ...
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We reviewed the mathematics of four major missing feature techniques: the feature-imputation techniques of cluster-based reconstruction and covariance-based ...
For missing feature techniques designed to provide robustness in automatic speech recognition (ASR), systems typically have been compared against unmodified, ...
Missing-feature approaches in speech recognition. Raj, B. ;; Stern, R. M.. Abstract. Publication: IEEE Signal Processing Magazine. Pub Date: September 2005 ...
In this paper we present two missing-feature algorithms that reconstruct complete spectrograms from incomplete noisy ones.
Approaches to missing feature theory include missing feature compensation, which removes corrupted features, and missing feature restoration which predicts ...