Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods
Joint Authors
Zahid, Saadia
Hussain, Fawad
Rashid, Muhammad
Yousaf, Muhammad Haroon
Habib, Hafiz Adnan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Audio segmentation is a basis for multimedia content analysis which is the most important and widely used application nowadays.
An optimized audio classification and segmentation algorithm is presented in this paper that segments a superimposed audio stream on the basis of its content into four main audio types: pure-speech, music, environment sound, and silence.
An algorithm is proposed that preserves important audio content and reduces the misclassification rate without using large amount of training data, which handles noise and is suitable for use for real-time applications.
Noise in an audio stream is segmented out as environment sound.
A hybrid classification approach is used, bagged support vector machines (SVMs) with artificial neural networks (ANNs).
Audio stream is classified, firstly, into speech and nonspeech segment by using bagged support vector machines; nonspeech segment is further classified into music and environment sound by using artificial neural networks and lastly, speech segment is classified into silence and pure-speech segments on the basis of rule-based classifier.
Minimum data is used for training classifier; ensemble methods are used for minimizing misclassification rate and approximately 98% accurate segments are obtained.
A fast and efficient algorithm is designed that can be used with real-time multimedia applications.
American Psychological Association (APA)
Zahid, Saadia& Hussain, Fawad& Rashid, Muhammad& Yousaf, Muhammad Haroon& Habib, Hafiz Adnan. 2015. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
Modern Language Association (MLA)
Zahid, Saadia…[et al.]. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
American Medical Association (AMA)
Zahid, Saadia& Hussain, Fawad& Rashid, Muhammad& Yousaf, Muhammad Haroon& Habib, Hafiz Adnan. Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073231
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073231