Call for Paper - November 2017 Edition
IJCA solicits original research papers for the November 2017 Edition. Last date of manuscript submission is October 20, 2017. Read More

Extracting Melodic Pattern of ‘Mohan Veena’ from Polyphonic Audio Signal of North Indian Classical Music

Print
PDF
IJCA Special Issue on Recent Trends in Engineering Technology
© 2013 by IJCA Journal
RETRET
Year of Publication: 2013
Authors:
Ram K. Nawasalkar
Nilesh M. Shingnapure
Pradeep K. Butey

Ram K Nawasalkar, Nilesh M Shingnapure and Pradeep K Butey. Article: Extracting Melodic Pattern of 'Mohan Veena' from Polyphonic Audio Signal of North Indian Classical Music. IJCA Special Issue on Recent Trends in Engineering Technology RETRET:1-5, March 2013. Full text available. BibTeX

@article{key:article,
	author = {Ram K. Nawasalkar and Nilesh M. Shingnapure and Pradeep K. Butey},
	title = {Article: Extracting Melodic Pattern of 'Mohan Veena' from Polyphonic Audio Signal of North Indian Classical Music},
	journal = {IJCA Special Issue on Recent Trends in Engineering Technology},
	year = {2013},
	volume = {RETRET},
	pages = {1-5},
	month = {March},
	note = {Full text available}
}

Abstract

There exist number of musical instruments in the world; each has its own melody and recognition techniques. The purpose of this paper is to propose a hypothesis for extraction of melodic pattern from the polyphonic audio recording of North Indian Classical Music files related to Mohan Veena. The paper discusses about the useful algorithm, application and techniques for extraction and evaluation. The five stages procedure: first, stream separation by Non-negative Matrix Factorization (NMF). Second, instrument recognition – extracting stream related to Mohan Veena using spectrogram and autocorrelation technique. Third, extracting methods which comprises of Sinusoid extraction, system analyzes the audio signal and extract spectral peaks for constructing the salience function where the spectral peaks could be used to compute representation of pitch salience over time, followed by pitch counter technique. Fourth, melody extraction from the extracted pitches counter and finally about the evaluation technique with some discussion.

References

  • G. E. Poliner, D. P. W. Ellis, F. Ehmann, E. G´omez, S. Steich, and B. Ong, "Melody transcription from music audio: Approaches and evaluation". IEEE TASLP, vol. 15, pp. 4, 2007.
  • R. Typke, "Music retrieval based on music similarity", Ph. D. dissertation, Utrecht University, Netherland 2007.
  • A. S. Bregman, "Auditory Scene Analysis", The Perceptual Organization of Sound, MIT Press, Fourth Edition, 2001.
  • J. Salamon and E. G´omez, "Melody extraction from polyphonic music signals using pitch contour characteristics". IEEE TASLP, vol. 20, pp. 6, 2012.
  • J. Salamon and J. Urbano, "Current challenges in the evaluation of predominant melody extraction algorithms".
  • M. Goto, "A real-time music-scene-description system: predominant f0 estimation for detecting melody and base line in real world audio signals", Speech Communication, vol. 43, pp. 311-329, 2004.
  • A. Eronen, A. Klapuri, "Musical Instrument Recognition Using Cepstral Coefficients and Temporal Features", Proc. Of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2000, pp. 753-756.
  • T. Kitahara, M. Goto, H. Okuno, "Musical Instrument Identification Based on F0-Dependent Multivariate Normal Distribution", Proc. Of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2003, vol. V, pp. 421-424, April 2003.
  • J. J. Bosch, J. Janer, F. Fuhrmann and P. Herrera, "A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals", 13th International Society for Music Information Retrieval Conference (ISMIR 2012).
  • A. Eronen, "Musical instrument recognition using ICA-based transform of features and discriminatively trained HMMs", Proc. of the Seventh International Symposium on signal Processing and its Applications, ISSPA 2003, Paris, France, 1-4 July 2003, pp. 133-136.
  • G. De Poli, P. Prandoni, " Sonological Models for Timbre Characterization", Journal of New Music Research, vol. 26 (1997), pp. 170-197, 1997.
  • Sumit Kumar Banchhor and Arif Khan, "Musical Instrument Recognition using Spectrogram and Autocorrelation", International Journal of Soft Computing and Engineering, ISSN: 2231-2307, vol. 2, Issue-1, March 2012.
  • J. Salamon and E. Gomez, "Melody extraction from polyphonic music signals using pitch counter characteristics", IEEE Transaction on Audio, Speech and Language Processing. 2010.
  • Jean-Louis Durrieu, Gaël Richard, Bertrand David, and Cédric Févotte, "Source/filter model for unsupervised main melody extraction from polyphonic audio signals," Trans. Audio, Speech and Lang. Proc. , vol. 18, pp. 564 575, 2010.
  • M. Ryynanen and A. Klapuri, "Automatic transcription of melody, bass line, and chords in polyphonic music," Computer Music Journal, vol. 32, no. 3, pp. 72–86, 2008.
  • P. Cancela, "Tracking melody in polyphonic audio", in 4th Music Information Retrieval Evaluation eXchange (MIREX), 2008.
  • Karin Dressler, "Audio melody extraction for mirex 2009," in 5th Music Information Retrieval Evaluation eXchange (MIREX), 2009.
  • J. Salamon and E. Gómez, "Melody extraction from polyphonic music audio," in 6th Music Information Retrieval Evaluation eXchange (MIREX), extended abstract, 2010.
  • B. Wang and M. D. Plumbley, "Musical audio separation by Non-negative matrix Factorization".
  • J. Salamon, E. Gomez and J. Bonada, "Sinusoid extraction and salience function design for predominant melody estimation", Proc. Of the 14th Int. Conference on Digital Audio Effects (DAFx-11), Paris, France, September 19-23, 2011.
  • D. D. Lee and H. S. Seung, "Learning the parts of objects by non-negative matrix factorization", Nature, 401:788–791, 1999.
  • P. Smaragdis and J. C. Brown, "Non negative matrix factorization for polyphonic music transcription". In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA'03), pp. 177–180, October 2003.
  • Equal loudness filter, July 2011.
  • K. Dressler, "Sinusoidal Extraction using an Efficient Implementation of a Multi-resolution FFT". In Proc. of the Int. Conf. on Digital Audio Effects (DAFx-06), pages 247–252, Montreal, Quebec, Canada, Sept. 2006.
  • J. L. Flanagan and R. M. Golden,"Phase vocoder", Bell Systems Technical Journal, 45:1493–1509, 1966.
  • A. Bregman. Auditory scene analysis. MIT Press, Cambridge, Massachussetts, 1990.
  • J. Salamon and E. G´omez, "Melody extraction from polyphonic music signals using pitch contour characteristics", IEEE Transactions on Audio Speech, and Language Processing, In Press (2012).