2015
Acoustic feature extraction by tensor-based sparse representation for sound effects classification
ICASSP 2015accepted
This paper describes a method to extract time-frequency (TF) audio features by tensor-based sparse approximation for sound effects classification. In the proposed method, the observed data is encoded as a higher-order tensor and discriminative features are extracted in spectrotemporal domain. Firstl…