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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Stuhlsatz, A.; Meyer, C.; Eyben, F.; Zielke, T.; Meier, G.; Schuller, B.
Titel:
Deep Neural Networks for Acoustic Emotion Recognition: Raising the Benchmarks
Kongress- / Buchtitel:
Proc. Int. Conf. on Acoustics, Speech, and Signal Processing, Proc. Int. Congress on Acoustics Proc. Int. Conf. on Acoustics, Speech, and Signal Processing ICASSP 2011, Prague, Czech Republic
Kongress / Zusatzinformationen:
22.-27.05.2011
Verlag / Institution:
IEEE
Jahr:
2011
Seiten:
5688-5691
TUM Einrichtung:
Lehrstuhl für Mensch-Maschine-Kommunikation
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