From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces (Hardcover, 1st ed. 2018)

The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 747
Release date:	November 2017
First published:	2018
Authors:	Jacek Grekow
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	138
Edition:	1st ed. 2018
ISBN-13:	978-3-319-70608-5
Categories:	Books > Arts & Architecture > Music > General Books > Professional & Technical > Other technologies > General Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics) Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Music > General Promotions
LSN:	3-319-70608-X
Barcode:	9783319706085

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