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A posterior union model for robust speech recognition

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2 Author(s)
Ji Ming ; Dept. of Comput. Sci., Queen''s Univ., Belfast, UK ; Jie Lin

The probabilistic union model is extended from a conditional-probability formulation to a posterior-probability formulation for speech recognition. The new formulation allows the order of the model to be optimised for every single frame, thereby enhancing the capability of the model for dealing with nonstationary noise corruption.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 1 )

Date of Publication:

9 Jan. 2003

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