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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Weninger, F.; Geiger, J.; Wöllmer, M.; Schuller, B.; Rigoll, G.
Titel:
The Munich Feature Enhancement Approach to the 2013 CHiME Challenge Using BLSTM Recurrent Neural Networks
Kongress- / Buchtitel:
Proceedings 2nd CHiME Speech Separation and Recognition Challenge held in conjunction with Proc. Int. Congress on Acoustics Proc. Int. Conf. on Acoustics, Speech, and Signal Processing ICASSP 2013, Vancouver, Canada
Verlag / Institution:
IEEE
Jahr:
2013
Seiten:
86-90
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