Overview of state-of-the-art research in sound classification.

For features, BoAP: bag-of-audio-phrases descriptor, UFL: unsupervised feature learning, E: energy, SF: spectral features, ZCR: zero-crossing rate, TFB-ED: triangle filter bank and eigen-decomposition, MFCC: mel-frequency cepstral coefficients, STE: subband temporal envelopes, and for classifiers, SVM: support vector machines, RF: random forest, KFDA: kernel Fisher discriminant anlysis, HMM: hidden Markov models, for learning methods, FS: fully supervised learning.