Non-Negative Matrix Factorization for Highly Noise-Robust ASR: to Enhance or to Recognize?

Document type:: Konferenzbeitrag
Author(s):: Weninger, F.; Wöllmer, M.; Geiger, J.; Schuller, B.; Gemmeke, J.; Hurmalainen, A.; Virtanen, T.; Rigoll, G.
Title:: Non-Negative Matrix Factorization for Highly Noise-Robust ASR: to Enhance or to Recognize?
Book / Congress title:: Proc. 37th Intern. Conf. on Acoustics, Speech, and Signal Processing (Proc. Int. Congress on Acoustics Proc. Int. Conf. on Acoustics, Speech, and Signal Processing ICASSP 2012), Kyoto, Japan
Publisher:: IEEE
Year:: 2012
Pages:: 4681-4684
TUM Institution:: Lehrstuhl für Mensch-Maschine-Kommunikation
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