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Volume 9 Issue 3 - January 2018

  • 1. Survey on classification based on audio & lyrics for tamil songs

    Authors : Harthi Vasudevan, Sathya M

    Pages : 224-232

    DOI : http://dx.doi.org/10.21172/1.93.38

    Keywords : Vector format; Songs ,Music retrival information, classification, Analysis songs

    Abstract :

    Abstract: Songs are present in everyday life and is used for the wide range of objectives. The amount of musical database has to be considerably increased in day to day. Collecting those files are meant to be an important study namely “Music Information Retrieval”. Ever growing study on “The Machine learning” deals with different algorithms for obtaining with the abundance of audiorecording that are available in digital audio formats. The availability of tools and Tool-Boxes for the extraction of the musical properties have large quantity on the studies of machines learning and MIR. Relevant problems in MIR include the classification of the songs into genres, making it possible the summarization of common features shared by different songs. Some of the problems that are faced in MIR are the classification of the songs into genres and making it possible for the data sets through the algorithms. In the paper the aim is to present study of various works that are related to audio classifications and the features extraction based on thedata sets of statistical method and using the vector file of the lyrics that were manually labeled shows a lot of promise. Especially with the experiment is on two different classification models were achieved. Through this, more information was learned about the relationship of the content of lyrics with the determination of the mood. Calculating normalized vectors for all his songs and then applying a dimensionally reduction algorithm to reduce the vector dimensions, making it easy to visualize. Second, we allocate those songs classify under features in Logistic regression(LR).Furthermore, it can be observed from our experiment that information gainbased feature selection gives better and consistent accuracies than other feature selection algorithms Finally, the issues that are related to the songs that are presented and those are addressed in the future work in order to obtain better classification accuracy.

    Citing this Journal Article :

    Harthi Vasudevan, Sathya M, "Survey on classification based on audio & lyrics for tamil songs", Volume 9 Issue 3 - January 2018, 224-232

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