A REVIEW ON AUDIO FEATURES BASED EXTRACTION OF SONGS FROM MOVIES

Authors

  • Mittal C. Darji Birla Vishvakarma Mahavidyalaya, Vallabh Vidyanagar, Anand, Gujarat, India
  • Dr. Narendra M. Patel Birla Vishvakarma Mahavidyalaya, Vallabh Vidyanagar, Anand, Gujarat, India
  • Zankhana H. Shah Birla Vishvakarma Mahavidyalaya, Vallabh Vidyanagar, Anand, Gujarat, India

Keywords:

Video Classification, Audio Features, Segmentation, Time Domain, Frequency Domain, Zero-Crossing Rate, Silence,Tempo, Short Time Energy, Intensity, Bandwidth

Abstract

A movie is a collection of different portions like comedy scenes, action, dialogs and songs. Extraction of a selected portion such as songs
is a complex task. Basic three approaches namely visual based, text based and audio based are used by authors over the time for video
content classification. This paper indicates that audio based approach is most suitable for extraction of songs. Audio based approach
utilizes various audio features which can differentiate songs and non-songs as mentioned here. Different combinations of these features
have been used by researchers from which a generic model is derived that can become the base for songs extraction application

Published

2022-04-27

How to Cite

Mittal C. Darji, Dr. Narendra M. Patel, & Zankhana H. Shah. (2022). A REVIEW ON AUDIO FEATURES BASED EXTRACTION OF SONGS FROM MOVIES. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from http://ijaerd.com/index.php/IJAERD/article/view/5679