Tonal Description of Polyphonic Audio for Music Content Processing
Published Online:1 Aug 2006https://doi.org/10.1287/ijoc.1040.0126
References
- Automatic technique in frequency domain for near-lossless time-scale modification of audio. Internat. Comput. Music Conf., Berlin (2000) ICMA, San Francisco, CA:396–399Google Scholar
- An efficient algorithm for the calculation of a constant Q transform. J. Acoustic Soc. America (1992) 92:2698–2701Crossref, Google Scholar
- Towards a mathematical model of tonality. (2000) . Ph.D. thesis, Operations Research Center, MIT, Cambridge, MAGoogle Scholar
- A brief survey of music representation issues, techniques and systems. Comput. Music J. (1993) 17:20–30Crossref, Google Scholar
- FreeDB (2004) . Free DB database, online publication, accessed February 2004. http://www.freedb.orgGoogle Scholar
- Realtime chord recognition of musical sound: A system using common lisp music. Internat. Comput. Music Conf., Beijing, China (1999) ICMA, San Francisco, CA:464–467Google Scholar
- Real-time beat tracking for drumless audio signals: Chord change detection for musical decisions. Speech Comm. (1999) 27:311–335Crossref, Google Scholar
- The cortical topography of tonal structures underlying western music science. Science (2002) 298:2167–2170Crossref, Google Scholar
- Signal processing methods for the automatic transcription of music. (2003) . Ph.D. thesis, Signal Processing Laboratory, Tampere Institute of Technology, Tampere, FinlandGoogle Scholar
- Cognitive Foundations of Musical Pitch (1990) (Oxford University Press, New York) Google Scholar
- , Meij J. Musical audio mining. Dealing with the Data Flood Symposium, Rotterdam, The Netherlands (2002) (STT Netherlands Study Centre for Technology Trends, Rotterdam, The Netherlands) Google Scholar
- , Manzano A. Calvo, López A. Pérez, Santiago J. Salvador. Tendencies, perspectives, and opportunities of musical audio-mining. Forum Acusticum, Session SS-MUS-01 (2002) (Seville, Spain). http://www.ia.csic.es/sea/4375cd.htmlGoogle Scholar
- , Amari S. I., Giles C. L., Gori M., Piuri V. A new method for tracking modulations in tonal music in audio data format. Neural Networks-IJCNN (2000) Vol. 6(IEEE Computer Society, New York) 270–275Crossref, Google Scholar
- , Puebla E. L., Mazzola G., Noll T. Correspondence analysis for visualizing interplay of pitch class, key, and composer. Perspectives in Mathematical Music Theory (2003) (Verlag epOs-Music, Osnabruck, Germany) 432–454Google Scholar
- Grove Music Online: The New Grove Dictionary of Music and Musicians (2004) 2nd ed.The New Grove Dictionary of Opera and The New Grove Dictionary of Jazz, 2nd ed. http://www.grovemusic.comGoogle Scholar
- , Poli G. D., Picialli A., Pope S. T., Roads C. Musical sound modeling with sinusoids plus noise. Musical Signal Processing (1996) (Swets & Zeitlinger, Lisse, The Netherlands) 91–122Google Scholar
- , Hoos H. H., Bainbridge D. Chord segmentation and recognition using EM-trained hidden Markov models. Proc. 4th Internat. Sympos. Music Inform. Retrieval (2003) Baltimore, MD:183–189 http://www.ismir.netGoogle Scholar
- What’s key for key? The Krumhansl-Schmuckler key finding algorithm reconsidered. Music Perception (1999) 17:65–100Crossref, Google Scholar
- , Fingerhut M. Pitch histograms in audio and symbolic music information retrieval. Internat. Sympos. Music Inform. Retrieval (2002) Paris, France:31–38 http://www.ismir.netGoogle Scholar

