Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition

Abstract

Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since this is also the representation in which the masks have a simple formulation. However, with diagonally structured covariance matrices in the log-spectral domain, recognition… (More)
DOI: 10.1109/TASL.2010.2045235

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