A Novel Approach for Automatic Acoustic Novelty Detection Using a Denoising Autoencoder with Bidirectional LSTM Neural Networks
Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Marchi, E.; Vesperini, F.; Eyben, F.; Squartini, S.; Schuller, B.
Seitenangaben Beitrag:
5 pages
Kongress- / Buchtitel:
Proceedings 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Ausrichter der Konferenz:
IEEE
Jahr:
2015
Monat:
Apr
Hinweise:
IF* 1.16 (2010)
TUM Einrichtung:
Lehrstuhl für Mensch-Maschine-Kommunikation
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