NDLI: Extraction of acoustic features based on auditory spike code and its application to music genre classification

Content Provider	IET Digital Library
Author	Shin, Seong Hyeon Yun, Ho Won Jang, Woo Jin Park, Hochong
Abstract	A new method of extracting acoustic features based on auditory spike code is proposed. An auditory spike code represents the acoustic activities created by the signal, similar to sound encoding of the human auditory system. In the proposed method, an auditory spike code of the signal is computed using a 64-band Gammatone filterbank as the kernel functions. Then, for each spectral band, the sum and non-zero counts of the auditory spike code are determined, and the features corresponding to the population and occurrence rate of the acoustic activities for each band are computed. In addition, the distribution of the acoustic activities on a time axis is analysed based on the histogram of time intervals between the adjacent acoustic activities, and the features for expressing temporal properties of the signal are extracted. The reconstruction accuracy of the auditory spike code is also measured as the features. Different from most conventional features obtained by complex statistical modelling or learning, the features by the proposed method can directly show specific acoustic characteristics contained in the signal. These features are applied to a music genre classification, and it is confirmed that they provide a performance comparable to state-of-the-art features.
Starting Page	230
Ending Page	234
Page Count	5
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 2, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5158
Journal	IET Signal Processing
Publisher Date	2018-10-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	64-band Gammatone Filterbank Acoustic Activities Acoustic Characteristic Acoustic Features Extraction Acoustic Signal Processing Audio Signal Processing Auditory Spike Code Channel Bank Filter Code Complex Statistical Modelling Digital Signal Processing Encoding Filtering Method in Signal Processing Human Auditory System Kernel Function Music Music Genre Classification Reconstruction Accuracy Signal Classification Signal Reconstruction Sound Encoding Spectral Band Speech And Audio Signal Processing Temporal Property Time Axis Analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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