Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
The Deep Learning Revolution in MIR: The Pros and Cons, the Needs and the Challenges Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Automatic Dastgah Recognition Using Markov Models

Authors : Luciano Ciamarone, Baris Bozkurt, Xavier Serra

Published in: Perception, Representations, Image, Sound, Music

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This work focuses on automatic Dastgah recognition of monophonic audio recordings of Iranian music using Markov Models. We present an automatic recognition system that models the sequence of intervals computed from quantized pitch data (estimated from audio) with Markov processes. Classification of an audio file is performed by finding the closest match between the Markov matrix of the file and the (template) matrices computed from the database for each Dastgah. Applying a leave-one-out evaluation strategy on a dataset comprised of 73 files, an accuracy of 0.986 has been observed for one of the four tested distance calculation methods.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Modelling 4-Dimensional Tonal Pitch Spaces with Hopf Fibration
next chapter Chord Function Identification with Modulation Detection Based on HMM
Footnotes
1
Markov Models have been extensively used in the past for composition purposes as melodic progressions generators, see for example some Xenakis’s works like Analogique B [4].
 
2
An example of western fifth is the interval between A4 = 440 Hz and E5 = 659.25 Hz (659.25/440 = 1.498 \(\cong \root 12 \of {2^{7}}\).
 
4
Using 98 Markov States each bin width is equal to \(\frac{1}{98}+1\) = 1.0102 which is smaller then the western music semitone \(\root 12 \of {2}\) = 1.0595.
 
Literature
1.
Abdoli, S.: Iranian traditional music dastgah classification. In: Proceedings of the 12th International Conference on Music Information Retrieval, ISMIR, Miami (2011)
2.
Atli, H. S., Uyar, B., Senturk, S., Bozkurt, B., Serra, X.: Audio feature extraction for exploring Turkish makam music. In: Proceedings of 3rd International Conference on Audio Technologies for Music and Media, Ankara, pp. 142–153 (2014)
3.
Bozkurt, B., Ayangil, R., Holzapfel, A.: Computational analysis of Turkish makam music: review of state-of-the-art and challenges. J. New Music Res. 43(1), 3–23 (2014)CrossRef
4.
Ciamarone, L.: Towards a real time implementation of Analogique B. In: Proceedings of the international Symposium Xenakis. Xenakis, The electroacoustic music, université Paris 8 (2012)
5.
6.
7.
Farhat, H.: The dastgah concept in Persian music. Cambridge University Press, Cambridge (1990)
8.
Gedik, A.C., Bozkurt, B.: Pitch-frequency histogram-based music information retrieval for Turkish music. Sig. Process. 90(4), 1049–1063 (2010)CrossRef
9.
Heydarian, P.: Automatic recognition of Persian musical modes in audio musical signals. Ph.D. thesis, London Metropolitan University (2016)
10.
Noland, K.: Computational tonality estimation: signal processing and Hidden Markov models. Ph.D. thesis, Queen Mary, University of London (2009)
11.
Noland, K., Sandler, M.: Key estimation using a Hidden Markov Model. In: Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR), Victoria, Canada (2006)
12.
Salamon, J., Gomez, E.: Melody extraction from polyphonic music signals using pitch contour characteristics. IEEE Trans. Audio Speech Lang. Process. 20(6), 1759–1770 (2012)CrossRef
13.
Senturk, S.: Computational analysis of audio recordings and music scores for the description and discovery of Ottoman-Turkish makam music, Ph.D. dissertation, Universitat Pompeu Fabra, (2016)
14.
Metadata
Title
Automatic Dastgah Recognition Using Markov Models
Authors
Luciano Ciamarone
Baris Bozkurt
Xavier Serra
Copyright Year
2021
Book
Perception, Representations, Image, Sound, Music

Print ISBN: 978-3-030-70209-0

Electronic ISBN: 978-3-030-70210-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-70210-6_11