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