A Review of Automatic Rhythm Description Systems
Computer Music Journal
Sound onset detection by applying psychoacoustic knowledge
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Analysis of the meter of acoustic musical signals
IEEE Transactions on Audio, Speech, and Language Processing
An experimental comparison of audio tempo induction algorithms
IEEE Transactions on Audio, Speech, and Language Processing
Music tempo estimation with k-NN regression
IEEE Transactions on Audio, Speech, and Language Processing
"Copy and scale" method for doing time-localized M.I.R. estimation:: application to beat-tracking
Proceedings of 3rd international workshop on Machine learning and music
Perceptual tempo estimation using GMM-regression
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
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We present a novel approach to automatic estimation of tempo over time. This method aims at detecting tempo at the tactus level for percussive and nonpercussive audio. The front-end of our system is based on a proposed reassigned spectral energy flux for the detection of musical events. The dominant periodicities of this flux are estimated by a proposed combination of discrete Fourier transform and frequency-mapped autocorrelation function. The most likely meter, beat, and tatum over time are then estimated jointly using proposed meter/beat subdivision templates and a Viterbi decoding algorithm. The performances of our system have been evaluated on four different test sets among which three were used during the ISMIR 2004 tempo induction contest. The performances obtained are close to the best results of this contest.