Recognition of Note Onsets in Digital Music Using Semitone Bands
A simple note onset detection system for music is presented in this work. To detect onsets, a 1/12 octave filterbank is simulated in the frequency domain and the band derivatives in time are considered. The first harmonics of a tuned instrument are close to the center frequency of these bands and, in most instruments, these harmonics are those with the highest amplitudes. The goal of this work is to make a musically motivated system which is sensitive on onsets in music but robust against the spectrum variations that occur at times that do not represent onsets. Therefore, the system tries to find semitone variations, which correspond to note onsets. Promising results are presented for this real time onset detection system.
Unable to display preview. Download preview PDF.
- 1.Klapuri, A.: Sound Onset Detection by Applying Psychoacoustic Knowledge. In: IEEE Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP, Phoenix, USA, March 15-19, pp. 3089–3092 (1999)Google Scholar
- 2.Goto, M., Muraoka, Y.: Beat tracking based on multiple-agent architecture — A real-time beat tracking system for audio signals. In: Proc. of the Second Int. Conf. on Multi-Agent Systems, pp. 103–110 (December 1996)Google Scholar
- 5.Duxbury, C., Sandler, M., Davies, M.: A hybrid approach to musical note onset detection. In: Proc. Digital Audio Effects Conference, DAFX (2002)Google Scholar
- 6.Goto, M., Muraoka, Y.: A Real-Time Beat Tracking System for Audio Signals. In: Proc. of the 1995 Int. Computer Music Conference, pp. 171–174 (1995)Google Scholar
- 7.Bilmes, J.: Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning and Reproducing Expressive Timing in Percusive Rhythm. MSc Thesis, MIT (1993)Google Scholar
- 8.Goto, M.: RWC music database, published RWC-MDB/, at http://staff.aist.go.jp/m.goto/
- 9.Moore, B.C.J.: An introduction to the Psychology of Hearing, 5th edn. Academic Press, London (1997)Google Scholar
- 10.Young, S., Kershaw, D., Odell, J., Ollason, D., Valtchev, V., Woodland, P.: The HTK book (for HTK version 3.1) Cambridge University (2000)Google Scholar
- 11.Leveau, P., Daudet, L., Richard, G.: Methodology and tools for the evaluation of automatic onset detection algorithms in music. In: Proc. of the Int. Symposium on Music Information Retrieval (ISMIR), Barcelona (2004)Google Scholar
- 12.Rodet, X., Escribe, J., Durignon, S.: Improving score to audio alignment: Percussion alignment and Precise Onset Estimation. In: Proc. of the 2004 Int. Computer Music Conference, pp. 450–453 (November 2004)Google Scholar
- 13.Lerch, A., Klich, I.: On the Evaluation of Automatic Onset Tracking Systems. In: White Paper, Berlin, Germany (April 2005)Google Scholar