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Feature compensation based on soft decision
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- Authors
- Nam Soo Kim, Young Joon Kim, Hyun Woo Kim
- Issue Date
- 2004-03
- Citation
- IEEE Signal Processing Letters, v.11, no.3, pp.378-381
- ISSN
- 1070-9908
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- In this letter, we propose a novel approach to feature compensation for robust speech recognition in noisy environments. Our approach combines the interacting multiple model (IMM) and spectral subtraction (SS) techniques based on a soft decision for speech presence. The proposed approach shows 13.56% of average relative improvement compared to the IMM algorithm in the speech recognition experiments performed on the AURORA2 database when clean condition training is applied.
- KSP Keywords
- IMM algorithm, Interacting multiple model(IMM), Novel approach, Soft-decision, Spectral subtraction(SS), feature compensation, noisy environments, robust speech recognition