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INTERSPEECH
2010

Unscented transform with online distortion estimation for HMM adaptation

9 years 1 months ago
Unscented transform with online distortion estimation for HMM adaptation
In this paper, we propose to improve our previously developed method for joint compensation of additive and convolutive distortions (JAC) applied to model adaptation. The improvement entails replacing the vector Taylor series (VTS) approximation with unscented transform (UT) in formulating both the static and dynamic model parameter adaptation. Our new JAC-UT method differentiates itself from other UT-based approaches in that it combines the online noise and channel distortion estimation and model parameter adaptation in a unified UT framework. Experimental results on the standard Aurora 2 task show that the new algorithm enjoys 20.0% and 16.9% relative word error rate reductions over the previous JAC-VTS algorithm when using the simple and complex backend models, respectively.
Jinyu Li, Dong Yu, Yifan Gong, L. Deng
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where INTERSPEECH
Authors Jinyu Li, Dong Yu, Yifan Gong, L. Deng
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