Overview of state-of-the-art research in sound classification.
收藏Figshare2016-09-15 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Overview_of_state-of-the-art_research_in_sound_classification_/3832299
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资源简介：
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.
创建时间：
2016-09-15
