Detection of similarity in music files using signal level analysis

Thomas, Mathew; Jothish, Mintu; Thomas, Navin; Koolagudi, Shashidhar G.; Murthy, Y. V. Srinivasa

doi:10.1109/tencon.2016.7848297

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Detection of similarity in music files using signal level analysis

Cited by 4 publications

References 21 publications

Music Genre Classification with Convolutional Neural Networks and Comparison with F, Q, and Mel Spectrogram-Based Images

Music Genre Classification with Convolutional Neural Networks and Comparison with F, Q, and Mel Spectrogram-Based Images

Singer identification for Indian singers using convolutional neural networks

A novel weather prediction model using a hybrid mechanism based on MLP and VAE with fire-fly optimization algorithm

Contact Info

Product

Resources

About