Feature Normalisation for Robust Speech Recognition
Speech recognition system performance degrades in noisy environments. If the acoustic models are built using features of clean utterances, the features of a noisy test utterance would be acoustically mismatched with the trained model. This gives poor likelihoods and poor recognition accuracy. Model...
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Format: | Journal Article |
Language: | English |
Published: |
14-07-2015
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Online Access: | Get full text |
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