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http://dx.doi.org/10.6109/jkiice.2014.18.10.2367

Speech Enhancement Based on Feature Compensation for Independently Applying to Different Types of Speech Recognition Systems  

Kim, Wooil (School of Computer Science & Engineering, Incheon National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.10, 2014 , pp. 2367-2374 More about this Journal
Abstract
This paper proposes a speech enhancement method which can be independently applied to different types of speech recognition systems. Feature compensation methods are well known to be effective as a front-end algorithm for robust speech recognition in noisy environments. The feature types and speech model employed by the feature compensation methods should be matched with ones of the speech recognition system for their effectiveness. However, they cannot be successfully employed by the speech recognition with "unknown" specification, such as a commercialized speech recognition engine. In this paper, a speech enhancement method is proposed, which is based on the PCGMM-based feature compensation method. The experimental results show that the proposed method significantly outperforms the conventional front-end algorithms for unknown speech recognition over various background noise conditions.
Keywords
Speech enhancement; Feature compensation; Speech recognition; Noisy environment; Unknown system;
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