CCA Based Feature Selection with Application to Continuous Depression Recognition from Acoustic Speech Features

Titel:: CCA Based Feature Selection with Application to Continuous Depression Recognition from Acoustic Speech Features
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Kaya, H.; Eyben, F.; Salah, A.A.; Schuller, B.
Kongress- / Buchtitel:: Proceedings 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy
Kongress / Zusatzinformationen:: acceptance rate: 50
Ausrichter der Konferenz:: IEEE
Jahr:: 2014
Monat:: May
Seiten:: 3757-3761
TUM Einrichtung:: Lehrstuhl für Mensch-Maschine-Kommunikation
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