Pop Music Highlighter: Marking the Emotion Keypoints

Autor: Yu-Siang Huang, Szu-Yu Chou, Yi-Hsuan Yang

Publikováno v: Transactions of the International Society for Music Information Retrieval, Vol 1, Iss 1, Pp 68-78 (2018)

The goal of music highlight extraction, or thumbnailing, is to extract a short consecutive segment of a piece of music that is somehow representative of the whole piece. In a previous work, we introduced an attention-based convolutional recurrent neu

Externí odkaz: https://doaj.org/article/48c0012bd4aa4c579bcf34b51db15ec4

Efficient Music Thumbnailing for Genre Classification

Autor: Skärbo Jonsson, Adam

For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-322599

Pop Music Highlighter: Marking the Emotion Keypoints

Autor: Yi-Hsuan Yang, Szu-Yu Chou, Yu-Siang Huang

Publikováno v: Transactions of the International Society for Music Information Retrieval, Vol 1, Iss 1, Pp 68-78 (2018)

The goal of music highlight extraction is to get a short consecutive segment of a piece of music that provides an effective representation of the whole piece. In a previous work, we introduced an attention-based convolutional recurrent neural network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3638eed6f787d949ea7f1fbfc7ed6bd
https://transactions.ismir.net/articles/14

Automated segmentation of folk songs using artificial neural networks

Autor: Neocleous, Andreas C., Petkov, N., Schizas, Christos N.

Publikováno v: NCTA 2014-Proceedings of the International Conference on Neural Computation Theory and Applications
6th International Conference on Neural Computation Theory and Applications, NCTA 2014, Part of the 6th International Joint Conference on Computational Intelligence, IJCCI 2014

Two different systems are introduced, that perform automated audio annotation and segmentation of Cypriot folk songs into meaningful musical information. The first system consists of three artificial neural networks (ANNs) using timbre low-level feat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4485::78c06881f94d222487f73608ced06dc6
http://gnosis.library.ucy.ac.cy/handle/7/54580

Fully automatic saliency-based subjects extraction in digital images

Autor: Greco, L., Marco La Cascia, Lo Cascio, F.

Publikováno v: Scopus-Elsevier

In this paper we present a novel saliency-based technique for the automatic extraction of relevant subjects in digital images. We use enhanced saliency maps to determine the most relevant parts of the images and an image cropping technique on the map

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0f1088bd3e105557bccaf10bb1d2937f
http://hdl.handle.net/10447/93903