Long Short-Term Memory Networks for Noise Robust Speech Recognition
Dokumenttyp:
Konferenzbeitrag
Autor(en):
Wöllmer, M.; Sun, Y.; Eyben, F.; Schuller, B.
Seitenangaben Beitrag:
2966-2969
Kongress- / Buchtitel:
Proc. INTERSPEECH 2010, Makuhari, Japan
Kongress / Zusatzinformationen:
26.-30.09.2010
Verlag / Institution:
ISCA
Jahr:
2010
TUM Einrichtung:
Lehrstuhl für Mensch-Maschine-Kommunikation
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