Abstract
With the rapid development of mass media technology, content classification of radio broadcasting has emerged as a major research area facilitating the automation of radio broadcasting monitoring process. This research focuses on the voice dominant content classification of radio broadcasting by employing a multi-class Support Vector Machine (SVM) in order to automate monitoring of radio broadcasting in Sri Lanka. This study investigates the performance of “One Vs. One” and “One Vs. All” methods known to be two conventional ways to build a multi-class SVM. These two multi-class SVM models are trained to classify five voice dominant classes as news, conversations, and advertisements without jingles, radio drama and religious programs. One of the substantial measures in creating such a classification is selection of the optimal feature sets. For that purpose, time domain features, frequency domain features, cepstral features, and chroma features are manually analyzed for each binary SVM classifier independently. Two multi-class SVM models are trained based on the selected features and the “One Vs. One” model was able to better classify the recordings with an 85% accuracy compared to 83% accuracy achieved by “One Vs. All” model. Further, the results revealed the importance of careful feature selection in order to achieve higher classification accuracies.
Highlights
The radio is a dynamic and amiable communication device to people for many decades since its invention
Radio stations broadcast a sequence of content categories such as songs, advertisements, news, interviews, conversations, and radio dramas
The number of listeners of a radio channel always relies on the programs that the radio stations are broadcasting
Summary
The radio is a dynamic and amiable communication device to people for many decades since its invention. Unlike other communications devices such as computers and smartphones, anyone can use the radio without an age bracket. Unlike the rest of the communication mediums radio plays an important role in sharing information. Radio station and the listeners are the two endpoints. Radio stations broadcast unidirectional wireless signals over space to the multitudes of individual listeners with radio receivers. Radio stations broadcast a sequence of content categories such as songs, advertisements, news, interviews, conversations, and radio dramas. The number of listeners of a radio channel always relies on the programs that the radio stations are broadcasting.
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