Matrix Covariance Estimation methods for robust Security Speech Recognition with under-resourced conditions

Published: Oct 1, 2011
Abstract
The long term goal of our project is the development of robust Security Speech Recognition systems are based on Automatic Speech Recognition methodologies. The development of ASR systems involves dealing with issues such as Acoustic Phonetic Decoding (APD), Language Modelling (LM) or the development of appropriated Language Resources (LR). Thus these applications are generally very language-dependent and require very large resources. This work...
Paper Details
Title
Matrix Covariance Estimation methods for robust Security Speech Recognition with under-resourced conditions
Published Date
Oct 1, 2011
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