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Titel:

The TUM system for the REVERB Challenge: Recognition of Reverberated Speech using Multi-Channel Correlation Shaping Dereverberation and BLSTM Recurrent Neural Networks

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Geiger, J.; Marchi, E.; Weninger, F.; Schuller, B.; Rigoll, G.
Kongress- / Buchtitel:
Proceedings REVERB Workshop, held in conjunction with ICASSP 2014 and HSCMA 2014, Florence, Italy
Ausrichter der Konferenz:
IEEE
Jahr:
2014
Monat:
May
Seiten:
1-8
TUM Einrichtung:
Lehrstuhl für Mensch-Maschine-Kommunikation
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