INTERSPEECH 2006 - ICSLP
To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents integration methods 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 AURORA-2J task showed the effectiveness of our proposed methods.
Bibliographic reference. Kitaoka, Norihide / Hamaguchi, Souta / Nakagawa, Seiichi (2006): "Noisy speech recognition based on selection of multiple noise suppression methods using noise GMMs", In INTERSPEECH-2006, paper 1207-Thu2CaP.12.