Time Signature Detection by Using a Multi Resolution Audio Similarity Matrix

A method that estimates the time signature of a piece of music is presented. The approach exploits the repetitive structure of most music, where the same musical bar is repeated in different parts of a piece. The method utilises a multi-resolution audio similarity matrix approach, which allows comparisons between longer audio segments (bars) by combining comparisons of shorter segments (fraction of a note). The time signature method only depends on musical structure, and does not depend on the presence of percussive instruments or strong musical accents.

[1]  Anssi Klapuri,et al.  Signal Processing Methods for the Automatic Transcription of Music , 2004 .

[2]  Sergios Theodoridis,et al.  Music meter and tempo tracking from raw polyphonic audio , 2004, ISMIR.

[3]  Keith D. Martin,et al.  Automatic Transcription of Simple Polyphonic Music: Robust Front End Processing , 1999 .

[4]  Fabien Gouyon,et al.  Determination of the meter of musical audio signals: Seeking recurrences in beat segment descriptors , 2003 .

[5]  Barry Vercoe,et al.  Detection of Key Change in Classical Piano Music , 2005, ISMIR.

[6]  Matthew E. P. Davies,et al.  Causal Tempo Tracking of Audio , 2004, ISMIR.

[7]  E. Coyle,et al.  Onset detection using comb filters , 2005, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2005..

[8]  Raúl Coré,et al.  Grove Music Online , 2006 .

[9]  Karl O’Keeffe Dancing Monkeys ( Automated creation of step files for Dance Dance Revolution , 2003 .

[10]  Judith C. Brown Determination of the meter of musical scores by autocorrelation , 1993 .

[11]  Jonathan Foote,et al.  Visualizing music and audio using self-similarity , 1999, MULTIMEDIA '99.

[12]  Eric D. Scheirer,et al.  Tempo and beat analysis of acoustic musical signals. , 1998, The Journal of the Acoustical Society of America.

[13]  Shingo Uchihashi,et al.  The beat spectrum: a new approach to rhythm analysis , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[14]  M. Davies,et al.  Complex domain onset detection for musical signals , 2003 .

[15]  Steffen Pauws,et al.  Musical key extraction from audio , 2004, ISMIR.