Title :
Music Part Segmentation in Music TV Programs Based on Chroma Vector Analysis
Author :
Uemura, A. ; Katto, Jiro ; Higa, Keisuke ; Ishikawa, Masatoshi ; Nomura, Tadahiro
Author_Institution :
Grad. Sch. of Fundamental Sci. & Eng., Waseda Univ., Tokyo, Japan
Abstract :
This paper presents a music part detection method incorporating chroma vector analysis for use with music TV programs. Results show that envelopes of chroma components of music signals tend to have horizontal (i.e. temporal) correlation in time-frequency representation because music signals have a periodic chord sequences. Based on this fact, we analyze time series of chroma components and attempt to segment music parts in music TV programs from other parts. Experimental results show an F-measure of 0.78, which is better than that obtained using the previous method.
Keywords :
acoustic signal detection; music; signal representation; television; chord sequences; chroma vector analysis; music TV programs; music part detection method; music part segmentation; music signals; time-frequency representation; Band pass filters; Multiple signal classification; Music; Speech; TV; Vectors; chroma vector; music part segmentation; temporal correlation;
Conference_Titel :
Multimedia (ISM), 2012 IEEE International Symposium on
Conference_Location :
Irvine, CA
Print_ISBN :
978-1-4673-4370-1
DOI :
10.1109/ISM.2012.14
