NDLI: Speech/Music Classification Using Occurrence Pattern of ZCR and STE

Content Provider	IEEE Xplore Digital Library
Author	Ghosal, A. Chakraborty, R. Chakraborty, R. Haty, S. Dhara, B.C. Saha, S.K.
Copyright Year	2009
Abstract	With the rapid growth in audio data volume, research in the area of content-based audio retrieval has gained impetus in the last decade. Audio classification serves as the fundamental step towards it. Accuracy in classifying data relies on the strength of the features and on the efficacy of classification scheme. In this work, we have focused on the features only. We have restricted ourselves further in the time domain based low level features. Zero crossing rate (ZCR) and shot time energy (STE) are the most widely used features in this category. We have tried to develop the features reflecting the quasi-periodic pattern of the signal by studying the occurrence pattern of ZCR and STE. Co-occurrence matrix for ZCR and STE are formed and features are computed from that to parameterize the signal. For classification, simple k-means clustering is followed and experimental result indicates that proposed features perform better than the traditional feature derived from ZCR and STE.
Starting Page	435
Ending Page	438
File Size	246021
Page Count	4
File Format	PDF
ISBN	9780769538594
DOI	10.1109/IITA.2009.427
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Psychology Information retrieval Psychoacoustic models STE occurrence pattern Data mining Mel frequency cepstral coefficient Frequency domain analysis Speech/music classification ZCR occurrence pattern Hidden Markov models audio features Speech Feature extraction
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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