High-performance content-based music retrieval via automated navigation and semantic features

Author:

Su Ja-HwungORCID,Hong Tzung-PeiORCID,Chen Yu-Tang,Chin Chu-Yu

Funder

Ministry of Science and Technology

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference32 articles.

1. Semantic audio content-based music recommendation and visualization based on user preference examples;Bogdanov;Inf. Process. Manage.,2013

2. Celma, O., Herrera, P., Serra, X., 2006. A multimodal approach to bridge the Music Semantic Gap. In: Proc. of the 1st International Conference on Semantic and Digital Media Technologies.

3. Chandra, S., Gourisaria, M.K., GM, H., Rautaray, S.S., Pandey, M., Mohanty, S.N., 2021. Semantic Analysis of Sentiments through Web-Mined Twitter Corpus. In: Proc. of the International Semantic Intelligence Conference. pp. 122–135.

4. Multimodal retrieval using mutual information based textual query reformulation;Datta;Expert Syst. Appl.,2017

5. Grosche, P., Müller, M., Serrà, J., 2012. Audio Content-Based Music Retrieval. In: Multimodal Music Processing, Vol. 3. (Ch. 9), pp. 157–174.

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