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Adaptation method using expectation-maximisation for noisy speech recognition

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1 Author(s)
Chung, Y.-J. ; Dept. of Electron., Keimyung Univ., Daegu, South Korea

An expectation-maximisation-based adaptation method for the mean of noise is proposed for noisy speech recognition. The noisy testing speech is used for unsupervised adaptation by employing the parallel model combination (PMC). The proposed method has shown improved performances compared with the PMC method in isolated word recognition experiments

Published in:

Electronics Letters  (Volume:38 ,  Issue: 13 )