ETRI Journal
- Volume 30 Issue 5
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- Pages.753-755
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- 2008
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- 1225-6463(pISSN)
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- 2233-7326(eISSN)
Feature Compensation Combining SNR-Dependent Feature Reconstruction and Class Histogram Equalization
- Suh, Young-Joo (School of Engineering, Information and Communications University) ;
- Kim, Hoi-Rin (School of Engineering, Information and Communications University)
- Received : 2008.05.14
- Accepted : 2008.06.23
- Published : 2008.10.31
Abstract
In this letter, we propose a new histogram equalization technique for feature compensation in speech recognition under noisy environments. The proposed approach combines a signal-to-noise-ratio-dependent feature reconstruction method and the class histogram equalization technique to effectively reduce the acoustic mismatch present in noisy speech features. Experimental results from the Aurora 2 task confirm the superiority of the proposed approach for acoustic feature compensation.