@article{oai:nagoya.repo.nii.ac.jp:00013071,
 author = {KITAOKA, Norihide and HAMAGUCHI, Souta and NAKAGAWA, Seiichi},
 issue = {3},
 journal = {IEICE transactions on information and systems},
 month = {Mar},
 note = {To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents methods for integration of four noise reduction algorithms: spectral subtraction with smoothing of time direction, temporal domain SVD-based speech enhancement, GMM-based speech estimation and KLT-based comb-filtering. In this paper, we proposed two types of combination methods of noise suppression algorithms: selection of front-end processor and combination of results from multiple recognition processes. Recognition results on the CENSREC-1 task showed the effectiveness of our proposed methods.},
 pages = {411--421},
 title = {Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs},
 volume = {E91-D},
 year = {2008}
}