TY - JOUR
T1 - Tempo induction from music recordings using ensemble empirical mode decomposition analysis
AU - Trohidis, Konstantinos
AU - Hadjileontiadis, Leontios
PY - 2011/12
Y1 - 2011/12
N2 - A study was conducted to demonstrate the estimation of the tempo at the tactus level. The tempo, which was the inverse of the tactus (beat) period, was expressed as the number of beats per minute (BPM). Tempo estimation of music has been a subject of intensive investigation over a long period of time and several methods were developed by researchers to deal with it. Goto and Muraoka were the first to present a system for beat tracking and tempo estimation that combined both low-level signal processing and high-level pattern-matching representations. Their method extracted drum patterns from music signals and used a template-matching model to ascertain the beat. The first general framework for tempo estimation from audio signals was proposed by Scheirer in 1998, which was based on a common two-stage general scheme.
AB - A study was conducted to demonstrate the estimation of the tempo at the tactus level. The tempo, which was the inverse of the tactus (beat) period, was expressed as the number of beats per minute (BPM). Tempo estimation of music has been a subject of intensive investigation over a long period of time and several methods were developed by researchers to deal with it. Goto and Muraoka were the first to present a system for beat tracking and tempo estimation that combined both low-level signal processing and high-level pattern-matching representations. Their method extracted drum patterns from music signals and used a template-matching model to ascertain the beat. The first general framework for tempo estimation from audio signals was proposed by Scheirer in 1998, which was based on a common two-stage general scheme.
UR - http://www.scopus.com/inward/record.url?scp=84856463491&partnerID=8YFLogxK
U2 - 10.1162/COMJ_a_00092
DO - 10.1162/COMJ_a_00092
M3 - Article
AN - SCOPUS:84856463491
SN - 0148-9267
VL - 35
SP - 83
EP - 97
JO - Computer Music Journal
JF - Computer Music Journal
IS - 4
ER -