Skip to main content

Towards Auto-structuring Harmony Transcription

  • Conference paper
  • First Online:
  • 1811 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10191))

Abstract

In recent years one can observe a significant progress in transcribing harmony from songs. New methods and applications had made it easy to automatically retrieve harmony, i.e. the chord progression for any song one can find. The shortcoming of these applications however is presentation of the transcription. Even though in most cases verses, choruses or other parts of a song share the same harmony, theyre never presented in a compact form. Even when two chords are repeated throughout the entire song one has to look at the entire transcription - from the first to the last occurrence of a chord - to realize that. This paper researches approaches to structuring the transcription, like using repetition notation (e.g. “x2”) or finding the shortest commonly repeated chord progression, which may be a riff.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Crew, S.: A guide to song forms (2015). AABA song form. http://www.songstuff.com/song-writing/article/aaba-song-form/

  2. De Haas, B., Veltkamp, R.C., Wiering, F.: Tonal pitch step distance: a similarity measure for chord progressions. In: ISMIR, pp. 51–56 (2008)

    Google Scholar 

  3. De Haas, W.B., Magalhaes, J.P., Ten Heggeler, D., Bekenkamp, G., Ruizendaal, T.: Chordify: chord transcription for the masses. In: Demonstration presented at the International Society for Music Information Retrieval Conference, pp. 8–12 (2012)

    Google Scholar 

  4. Haas, W.B., Robine, M., Hanna, P., Veltkamp, R.C., Wiering, F.: Comparing approaches to the similarity of musical chord sequences. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K. (eds.) CMMR 2010. LNCS, vol. 6684, pp. 242–258. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23126-1_16

    Chapter  Google Scholar 

  5. Englmeier, D., Hubig, N., Goebl, S., Böhm, C.: Musical similarity analysis based on chroma features and text retrieval methods. In: BTW Workshops, pp. 183–192 (2015)

    Google Scholar 

  6. Grohganz, H., Clausen, M., Jiang, N., Müller, M.: Converting path structures into block structures using eigenvalue decompositions of self-similarity matrices. In: ISMIR, pp. 209–214 (2013)

    Google Scholar 

  7. Harte, C.: Towards automatic extraction of harmony information from music signals. Ph.D. thesis, Department of Electronic Engineering, Queen Mary, University of London (2010)

    Google Scholar 

  8. Mauch, M., Cannam, C., Davies, M., Dixon, S., Harte, C., Kolozali, S., Tidhar, D., Sandler, M.: OMRAS2 metadata project 2009. In: Late-breaking Session at the 10th International Conference on Music Information Retrieval, Kobe, Japan (2009)

    Google Scholar 

  9. Mauch, M., Noland, K., Dixon, S.: Mirex submissions for audio chord detection (no training) and structural segmentation. MIREX Submission Abstracts (2009)

    Google Scholar 

  10. McFee, B., Ellis, D.: Analyzing song structure with spectral clustering. In: ISMIR, pp. 405–410 (2014)

    Google Scholar 

  11. Serra, J., Müller, M., Grosche, P., Arcos, J.L.: Unsupervised music structure annotation by time series structure features and segment similarity. IEEE Trans. Multimedia 16(5), 1229–1240 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marek Kopel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Kopel, M. (2017). Towards Auto-structuring Harmony Transcription. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54472-4_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54471-7

  • Online ISBN: 978-3-319-54472-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics