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Technical Session - SP19

Session SP19:	Robust Features for Automatic Speech Recognition (Poster)
Time and Place:	Thursday, May 14, 1:00 pm - 3:00 pm, Ballroom 4A
Chair:	A. Acero (Microsoft Research, USA)

1:00 pm	SP19.1 On Properties of Modulation Spectrum for Robust Automatic Speech Recognition N. Kanedera (Ishikawa National College of Technology, Japan); H. Hermansky (Oregon Graduate Institute of Science and Technology, USA); T. Arai (International Computer Science Institute, USA); [abstract] [manuscript]
	SP19.2 Spectral Subband Centroid Features for Speech Recognition K. Paliwal (Griffith University, Australia); [abstract] [manuscript]
	SP19.3 Spectral Weighting of SBCOR for Noise Robust Speech Recognition S. Kajita, K. Takeda, F. Itakura (Nagoya University, Japan); [abstract] [manuscript]
	SP19.4 Robust Word Recognition Using Threaded Spectral Peaks B. Strope, A. Alwan (University of California, Los Angeles, USA); [abstract] [manuscript]
	SP19.5 A Novel Robust Feature of Speech Signal Based on the Mellin Transform for Speaker-independent Speech Recognition J. Chen, B. Xu, T. Huang (National Laboratory of Pattern Recognition, P R China); [abstract] [manuscript]
	SP19.6 Stochastic Features for Noise Robust Speech Recognition N. Iwahashi, H. Pao, H. Honda, K. Minamino, M. Omote (Sony Corporation, Japan); [abstract] [manuscript]
	SP19.7 Improved Scale-Cepstral Analysis in Speech S. Umesh (IIT, India); L. Cohen (Hunter College of CUNY, USA); D. Nelson (US Department of Defense, USA); [abstract] [manuscript]
	SP19.8 Multi-Band Speech Recognition in Noisy Environments S. Okawa, E. Bocchieri, A. Potamianos (AT&T Labs, USA); [abstract] [manuscript]