Analyzing the Memory of BLSTM Neural Networks for Enhanced Emotion Classification in Dyadic Spoken Interactions

Titel:: Analyzing the Memory of BLSTM Neural Networks for Enhanced Emotion Classification in Dyadic Spoken Interactions
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Wöllmer, M.; Metallinou, A.; Katsamanis, N.; Schuller, B.; Narayanan, S.
Kongress- / Buchtitel:: 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
Verlag / Institution:: IEEE
Jahr:: 2012
Seiten:: 4157-4160
TUM Einrichtung:: Lehrstuhl für Mensch-Maschine-Kommunikation
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