NDLI: Audio feature extraction for classification using relative transformation

Content Provider	IEEE Xplore Digital Library
Author	Guihua Wen Jian Tuo Lijun Jiang Jia Wei
Copyright Year	2012
Description	Author affiliation: South China University of Technology, Guangzhou 510641, China (Guihua Wen; Jian Tuo; Lijun Jiang; Jia Wei)
Abstract	Audio feature extraction plays a much important role in the areas of audio processing. This paper proposes a new audio feature extraction method using the relative transformation (RT). It begins with equally dividing an audio signal into a lot of segments. On each segment, the mel-frequency cepstral coefficients are extracted and combined by RT to generate a single feature vector. All these vectors are then combined by RT again to generate a single feature vector for the audio. This method can nicely deal with the noisy, sparse, and imbalance problems, while it has lower time complexity. It is purely data-driven and does not depend on particular audio characteristics. The experimental results suggest that the classifier with the proposed method often gives the better results in classification.
Starting Page	260
Ending Page	265
File Size	203315
Page Count	6
File Format	PDF
ISBN	9781467301732
e-ISBN	9781467301749
DOI	10.1109/ICALIP.2012.6376622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Humans Feature extraction Vectors Noise measurement Mel frequency cepstral coefficient Frequency domain analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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