Improvised emotion and genre detection for songs through signal processing and genetic algorithm

Author:

Geetha Ramani R.1,Priya K.2ORCID

Affiliation:

1. ISTE DepartmentCollege of Engineering Chennai India

2. CSE Department, Rajalakshmi Engineering CollegeAnna University Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference24 articles.

1. BarthetM FazekasG SandlerM.Multidisciplinary perspectives on music emotion recognition: implications for content and context‐based models. In: Proceedings of the 9th International Symposium on Computer Music Modelling and Retrieval (CMMR);2012;London UK.

2. Machine Recognition of Music Emotion

3. HanB‐J RhoS DannenbergRB HwangE.SMERS: music emotion recognition using support vector regression. In: Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR);2009;Kobe Japan.

4. HuX DownieJS LaurierC BayM EhmannAF.The 2007 MIREX audio mood classification task: lessons learned. Paper presented at: 9th International Conference on Music Information Retrieval;2008;Philadelphia PA.

5. Music emotion recognition with standard and melodic audio features;Rocha B;Appl Artif Intell,2015

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