TY - GEN
T1 - Large-scale study of chord estimation algorithms based on chroma representation and HMM
AU - Papadopoulos, Hélène
AU - Peeters, Geoffroy
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper deals with the automatic estimation of chord progression over time of an audio file. From the audio signal, a set of chroma vectors representing the pitch content of the file over time is extracted. From these observations the chord progression is then estimated using hidden Markov models. Several methods are proposed that allow taking into account music theory, perception of key and presence of higher harmonics of pitch notes. The proposed methods are then compared to existing algorithms. A large-scale evaluation on 110 hand-labeled songs from the Beatles allows concluding on improvement over the state of the art.
AB - This paper deals with the automatic estimation of chord progression over time of an audio file. From the audio signal, a set of chroma vectors representing the pitch content of the file over time is extracted. From these observations the chord progression is then estimated using hidden Markov models. Several methods are proposed that allow taking into account music theory, perception of key and presence of higher harmonics of pitch notes. The proposed methods are then compared to existing algorithms. A large-scale evaluation on 110 hand-labeled songs from the Beatles allows concluding on improvement over the state of the art.
U2 - 10.1109/CBMI.2007.385392
DO - 10.1109/CBMI.2007.385392
M3 - Conference contribution
AN - SCOPUS:46749147173
SN - 1424410118
SN - 9781424410118
T3 - CBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings
SP - 53
EP - 60
BT - CBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings
T2 - CBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing
Y2 - 25 June 2007 through 27 June 2007
ER -