DOCSLIB.ORG

Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music Sertan Şentürk TESI DOCTORAL UPF / 2016 Director de la tesi Dr. Xavier Serra Casals Music Technology Group Department of Information and Communication Technologies Copyright © 2016 by Sertan Şentürk http://compmusic.upf.edu/senturk2016thesis http://www.sertansenturk.com/phd-thesis Dissertation submitted to the Department of Information and Com- munication Technologies of Universitat Pompeu Fabra in partial fulfillment of the requirements for the degree of DOCTOR PER LA UNIVERSITAT POMPEU FABRA, with the mention of European Doctor. Licensed under Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 You are free to share – to copy and redistribute the material in any medium or format under the following conditions: • Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. • Non-commercial – You may not use the material for com- mercial purposes. • No Derivative Works – If you remix, transform, or build upon the material, you may not distribute the modified ma- terial. Music Technology Group (http://mtg.upf.edu/), Department of Informa- tion and Communication Technologies (http://www.upf.edu/etic), Univer- sitat Pompeu Fabra (http://www.upf.edu), Barcelona, Spain The doctoral defense was held on .................. 2017 at Universitat Pompeu Fabra and scored as ........................................................... Dr. Xavier Serra Casals Thesis Supervisor Universitat Pompeu Fabra (UPF), Barcelona, Spain Dr. Gerhard Widmer Thesis Committee Member Johannes Kepler University, Linz, Austria Dr. Barış Bozkurt Thesis Committee Member Koç University, Istanbul, Turkey Dr. Tillman Weyde Thesis Committee Member City, University of London, London, United Kingdom To Sare, Fadime, Osman and Fatma, who still show me their boundless love and compassion beyond time... vi This thesis has been carried out at the Music Technology Group (MTG) of Universitat Pompeu Fabra (UPF) in Barcelona (Spain) from September 2011 to November 2016, and at the Department of Electrical and Electron- ics Engineering of Bahçeşehir University in Istanbul (Turkey) from July 2014 to September 2014. It is supervised by Dr. Xavier Serra Casals. The work in Chapter 6 has been partially conducted in close collaboration with Dr. André Holzapfel (KTH Royal Institute of Technology, Stock- holm, Sweden). Dr. M. Kemal Karaosmanoğlu (Yıldız University, Istan- bul, Turkey) has been consulted in all matters pertaining the music scores used throughout the work. The work in several parts of this thesis have been carried out in collabora- tion with the CompMusic team at the MTG, the partner group led by Dr. Barış Bozkurt (Koç University, Istanbul, Turkey) and the Perceptual In- telligent Lab – Statistical Inference Group led by Dr. Ali Taylan Cemgil (Boğaziçi University, Istanbul, Turkey). A detailed list of collaborators include (alphabetically ordered) Alastair Porter, Altuğ Karakurt, Andrés Ferraro, Burak Uyar, Hasan Sercan Atlı, Gopala Krishna Koduri, Miraç Atıcı, Mohamed Sordo, Sankalp Gulati and Uğur Şimşekli. M. Kemal Karaosmanoğlu and Nezihe Şentürk (Gazi University, Ankara, Turkey) have been consulted for all the music related aspects in the work. This work has been supported by the Department of Information and Communication Technologies (DTIC) PhD fellowship (2011–16), Uni- versitat Pompeu Fabra and the European Research Council (ERC) under the European Union’s Seventh Framework Program, as part of the Comp- Music project (ERC grant agreement 267583). The research stay at the Bahçeşehir University, Istanbul has been funded by European Commis- sion under the Erasmus+ program. The epigraphs in the beginning of each Chapter are taken from İhsan Ok- tay Anar’s phenomenal novel Suskunlar (Taciturns). Acknowledgements Phew, what a journey it was..! It has been a little bit more that 5 years since I have started my journey in the CompMusic project. Seasons have passed, lives have changed. The world has *really* changed (I wonder how Dick- ens would have started its tale). I have also changed, for better or worse. This thesis is a fruit of these years; a fruit which I think as the harvest of collaborative labor. First of all, I would like to thank my supervisor Xavier Serra. It is his vision, which made the CompMusic project possible. It is his perspective, which gathered this exceptional team throughout the world. Likewise, it is his guidance that shaped the thesis. There is not a single day I find myself thinking of all merits I have learned from him and how much more there is still to gain. He has the biggest role in what I have become as a determined researcher, for which I owe the greatest gratitute. Nevertheless, I should say that I owe the biggest debt to M. Ke- mal Karaosmoğlu. Without his unparalleled devotion to collect the makam music scores for decades, and his invaluable help through- out the thesis, this work would simply be impossible. He has been and will always be the definition of idealism I would like to take an example of. I was able to realize most of the audio-score alignment, the core contribution of my thesis, under André Holzapfel’s guidance. vii viii Moreover, he has given me some of the most crucial and sincere suggestions about my PhD work. He am indebted to him not only for his lead during my PhD, and but for his sincerity as a friend. Andres Ferrero is definitely one of the most fruitful people I have had the chance to work with. It is his tireless effort and ded- ication, which made our “baby” web application become what it is. I would like to give a special thanks to Ara Dinkjian, Özer Özel, Robert Garfias and Harold Hagopian for granting us the streaming rights of many recordings they hold the rights of. Seymour Shilen has also helped me numerous times by pointing out the errors in the content. Last but not the least, I want to thank all my family (especially my mother, father and my kel sister) and my friends (especially Emre Can Dağlıoğlu and Can Öktemer). Nothing has changed in the last five years: “Without their selfless support, I would have never even made it to a new day. On the contrary, without my ridiculous ways, they would have a much better life.” Müge Kalen- der has always been on my side for all these uncountable days and nights, until the very last moment. I don’t know how many times Levent Ateşoğlu took care of me. I will always be grateful to Eva Arrizabalaga: I would not be able to continue without her motherly care, while all the bombs (literally) were exploding. Muchos be- sos a Tamar Nalcı, Narod Erkol, Beril Karavit, Cana Göksu, Berta Garcia Faet, Dafni Anastasiadi and Rüstem Can. Finally, I should not forget Şeker and İrfan Hamdi, for their ... cuteness. Abstract This thesis addresses several shortcomings on the current state of the art methodologies in music information retrieval (MIR). In particular, it proposes several computational approaches to automatically analyze and describe music scores and audio recordings of Ottoman-Turkish makam music (OTMM). The main contributions of the thesis are the music cor- pus that has been created to carry out the research and the audio-score alignment methodology developed for the analysis of the corpus. In addi- tion, several novel computational analysis methodologies are presented in the context of common MIR tasks of relevance for OTMM. Some exam- ple tasks are predominant melody extraction, tonic identification, tempo estimation, makam recognition, tuning analysis, structural analysis and melodic progression analysis. These methodologies become a part of a complete system called Dunya-makam for the exploration of large cor- pora of OTMM. The thesis starts by presenting the created CompMusic Ottoman- Turkish makam music corpus. The corpus includes 2200 music scores, more than 6500 audio recordings, and accompanying metadata. The data has been collected, annotated and curated with the help of music experts. Using criteria such as completeness, coverage and quality, we validate the corpus and show its research potential. In fact, our corpus is the largest and most representative resource of OTMM that can be used for compu- tational research. Several test datasets have also been created from the corpus to develop and evaluate the specific methodologies proposed for different computational tasks addressed in the thesis. The part focusing on the analysis of music scores is centered on phrase and section level structural analysis. Phrase boundaries are automatically identified using an existing state-of-the-art segmentation methodology. ix x Section boundaries are extracted using heuristics specific to the format- ting of the music scores. Subsequently, a novel method based on graph analysis is used to establish similarities across these structural elements in terms of melody and lyrics, and to label the relations semiotically. The audio analysis section of the thesis reviews the state-of-the-art for analysing the melodic aspects of performances of OTMM. It proposes adaptations of existing predominant melody extraction methods tailored to OTMM. It also presents improvements over pitch-distribution-based tonic identification and makam recognition methodologies. The audio-score alignment methodology is the core of the thesis. It addresses the culture-specific challenges posed by the musical charac- teristics, music theory related representations and oral praxis of OTMM. Based on several techniques such as subsequence dynamic time warping, Hough transform and variable-length Markov models, the audio-score alignment methodology is designed to handle the structural differences between music scores and audio recordings. The method is robust to the presence of non-notated melodic expressions, tempo deviations within the music performances, and differences in tonic and tuning. The method- ology utilizes the outputs of the score and audio analysis, and links the audio and the symbolic data.
Load more

Recommended publications
  • Terminology of Art Music in Ottoman Turkish and Modern Turkish Lexicography (19Th-21St Century)
    TERMINOLOGY OF ART MUSIC IN OTTOMAN TURKISH AND MODERN TURKISH LEXICOGRAPHY (19TH-21ST CENTURY). Agata Pawlina Jagiellonian University Abstract In this paper the author presents preliminary conclusions concerning changes in forms (in respect of orthography and morphology) and semantics of musical terms in Ottoman Turkish and modern Turkish lexicography. Selected dictionaries (including mono- and bilingual, general and specialized ones) from the period between the 19th and 21st century had been analyzed. This period of time is particularly interesting for establishing how a) Turkish lexicographic works reflect the Westernization of high- culture music of the late Ottoman Empire and the young Republic of Turkey and b) differences between art music of the Ottoman and European traditions are perceived nowadays. By presenting a terminological analysis of words considered to be not only basic musicological terms but also a part of natural language (‘singer’, ‘piano’, ‘kanun’) the author unveils some of the issues associated with the translation of Turkish musical terms into European languages and vice-versa. Those problems arise from the duality and hybridity which exist in contemporary Turkish musical culture. Its older part, the so-called classical/traditional art music (tur. Türk sanat müziği or Osmanlı/Türk klasik müziği) emerged at the turn of the 17th century, as a part of a Middle Eastern art musical tradition. Later on, during modernizing efforts conducted in the declining Ottoman Empire in the 19th century, European art music had been incorporated along with its international, translingual terminology. As a result of such duality, interesting phenomena are being observed in modern Turkish vocabulary concerning art music.
    [Show full text]
  • Music: the Case of Afghanistan by JOHN BAILY
    from Popular Music 1, CambridgeUniversity Press 1981 Cross -cultural perspectives in popular music: the case of Afghanistan by JOHN BAILY The problem of definition It is inevitable that the first issue of this yearbook will raise questions about the use of the term 'popular music'. I do not believe that this question is going to be easy to answer and, as a precaution, I think we should regard quick and seemingly clearcut solutions with suspicion. In fact, we may eventually have to operate with intuitive, poorly defined and rather elastic definitions of popular music. Before we resort to that expedient, however, the problem of definition must be considered and discussed from various points of view. The editors have offered the following two definitions (the number- ing is mine): (1)From one point of view 'popular music' exists in any stratified society. It is seen as the music of the mass of the people ... as against that of an élite. (2) From another point of view there is at the very least a significant qualita- tive change, both in the meaning which is felt to attach to the term and in the processes to which the music owes its life, when a society undergoes indus- trialisation. From this point of view popular music is typical of societies with a relatively highly developed division of labour and a clear distinction between producers and consumers, in which cultural products are created largely by professionals, sold in a mass market and reproduced through mass media. (P. i above) The first of these definitions is very general, the second very specific.
    [Show full text]
  • ASSIGNMENT and DISSERTATION TIPS (Tagg's Tips)
    ASSIGNMENT and DISSERTATION TIPS (Tagg’s Tips) Online version 5 (November 2003) The Table of Contents and Index have been excluded from this online version for three reasons: [1] no index is necessary when text can be searched by clicking the Adobe bin- oculars icon and typing in what you want to find; [2] this document is supplied with direct links to the start of every section and subsection (see Bookmarks tab, screen left); [3] you only need to access one file instead of three. This version does not differ substantially from version 4 (2001): only minor alterations, corrections and updates have been effectuated. Pages are renumbered and cross-refer- ences updated. This version is produced only for US ‘Letter’ size paper. To obtain a decent print-out on A4 paper, please follow the suggestions at http://tagg.org/infoformats.html#PDFPrinting 6 Philip Tagg— Dissertation and Assignment Tips (version 5, November 2003) Introduction (Online version 5, November 2003) Why this booklet? This text was originally written for students at the Institute of Popular Music at the Uni- versity of Liverpool. It has, however, been used by many outside that institution. The aim of this document is to address recurrent problems that many students seem to experience when writing essays and dissertations. Some parts of this text may initially seem quite formal, perhaps even trivial or pedantic. If you get that impression, please remember that communicative writing is not the same as writing down commu- nicative speech. When speaking, you use gesture, posture, facial expression, changes of volume and emphasis, as well as variations in speed of delivery, vocal timbre and inflexion, to com- municate meaning.
    [Show full text]
  • Automatic Dastgah Recognition Using Markov Models
    Automatic Dastgah Recognition Using Markov Models Luciano Ciamarone1, Baris Bozkurt2, and Xavier Serra2 1 Independent researcher 2 Universitat Pompeu Fabra, Barcelona, Spain [email protected], [email protected], [email protected] Abstract. This work focuses on automatic Dastgah recognition of mono- phonic 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. Ap- plying 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. Keywords: mode recognition, dastgah recognition, iranian music 1 Introduction The presented study represents the first attempt in applying Markov Model to a non-western musical mode recognition task. The proposed approach focuses on Persian musical modes which are called Dastgah. Several different approaches to the same task have already been documented. In 2011 Abdoli [3] achieved an overall accuracy of 0.85 on a 5 Dastgahs classification task by computing similarity measures between Interval Type 2 Fuzzy Sets. In 2016 Heydarian [5] compared the performances of different methods including chroma features, spectral average, pitch histograms and the use of symbolic data. He reported an accuracy of 0.9 using spectral average and Manhattan metric as a distance cal- culation method between a signal and a set of templates.
    [Show full text]
  • Sibelius Artwork Guidelines Contents
    Sibelius Artwork Guidelines Contents Conditions of use ...........................................................................................................................3 Important information ..................................................................................................................4 Product names and logos.............................................................................................................5 Example copy..................................................................................................................................6 Endorsees ........................................................................................................................................7 Reviews............................................................................................................................................8 Awards...........................................................................................................................................11 House Style ...................................................................................................................................12 Conditions of use Who may use this material Authorized Sibelius distributors and dealers are permitted to reproduce text and graphics on this CD in order to market Sibelius products or PhotoScore, but only if these guidelines are adhered to, and all artwork is used unmodified and cleared by Sibelius Software before production of final proofs. Acknowledge trademarks Please
    [Show full text]
  • How Was the Traditional Makam Theory Westernized for the Sake of Modernization?
    Rast Müzikoloji Dergisi, 2018, 6 (1): 1769-1787 Original research https://doi.org/10.12975/pp1769-1787 Özgün araştırma How was the traditional makam theory westernized for the sake of modernization? Okan Murat Öztürk Ankara Music and Fine Arts University, Department of Musicology, Ankara, Turkey [email protected] Abstract In this article, the transformative interventions of those who want to modernize the tradition- al makam theory in Westernization process experienced in Turkey are discussed in historical and critical context. The makam is among the most basic concepts of Turkish music as well as the Eastern music. In order to analyze the issue correctly in conceptual framework, here, two basic ‘music theory approaches' have been distinguished in terms of the musical elements they are based on: (i.) ‘scale-oriented’ and, (ii.) ‘melody-oriented’. The first typically represents the conception of Western harmonic tonality, while the second also represents the traditional Turkish makam conception before the Westernization period. This period is dealt with in three phases: (i.) the traditional makam concept before the ‘modernization’, (ii.) transformative interventions in the modernization phase, (iii.) recent new and critical approaches. As makam theory was used once in the history of Turkey, to convey a traditional heritage, it had a peculi- ar way of practice and education in its own cultural frame. It is determined that three different theoretical models based on mathematics, philosophy or composition had been used to explain the makams. In the 19th century, Turkish modernization was resulted in a stage in which a desire to ‘resemble to the West’ began to emerge.
    [Show full text]
  • MOLA Guidelines for Music Preparation
    3 MOLA Guidelines for Music Preparation Foreword These guidelines for the preparation of music scores and parts are the result of many hours of discussion regarding the creation and layout of performance material that has come through our libraries. We realize that each music publisher has its own set of guidelines for music engraving. For new or self-published composers or arrangers, we would like to express our thoughts regarding the preparation of performance materials. Using notation so!ware music publishers and professional composers and arrangers are creating scores and parts that are as functional and beautiful as traditionally engraved music. " .pdf (portable document format) is the suggested final file format as it is independent of application so!ware, hardware, and operating system. "ll ma%or notation so!ware has the option to save a file in this format. "s digital storage and distribution of music data files becomes more common, there is the danger that the librarian will be obliged to assume the role of music publisher, expected to print, duplicate, and bind all of the sheet music. &ot all libraries have the facilities, sta', or time to accommodate these pro%ects, and while librarians can advise on the format and layout of printed music, they should not be expected to act as a surrogate publisher. The ma%ority of printed music is now produced using one of the established music notation so!ware programs. (ome of the guidelines that follow may well be implemented in such programs but the so!ware user, as well as anyone producing material by hand, will still find them beneficial.
    [Show full text]
  • An App to Find Useful Glissandos on a Pedal Harp by Bill Ooms
    HarpPedals An app to find useful glissandos on a pedal harp by Bill Ooms Introduction: For many years, harpists have relied on the excellent book “A Harpist’s Survival Guide to Glisses” by Kathy Bundock Moore. But if you are like me, you don’t always carry all of your books with you. Many of us now keep our music on an iPad®, so it would be convenient to have this information readily available on our tablet. For those of us who don’t use a tablet for our music, we may at least have an iPhone®1 with us. The goal of this app is to provide a quick and easy way to find the various pedal settings for commonly used glissandos in any key. Additionally, it would be nice to find pedal positions that produce a gliss for common chords (when possible). Device requirements: The application requires an iPhone or iPad running iOS 11.0 or higher. Devices with smaller screens will not provide enough space. The following devices are recommended: iPhone 7, 7Plus, 8, 8Plus, X iPad 9.7-inch, 10.5-inch, 12.9-inch Set the pedals with your finger: In the upper window, you can set the pedal positions by tapping the upper, middle, or lower position for flat, natural, and sharp pedal position. The scale or chord represented by the pedal position is shown in the list below the pedals (to the right side). Many pedal positions do not form a chord or scale, so this window may be blank. Often, there are several alternate combinations that can give the same notes.
    [Show full text]
  • Recognizing Key Signatures Music Fundamentals 14-119-T
    Recognizing Key Signatures Music Fundamentals 14-119-T Constructing the Key Signature: In the last lecture, we connected scales and tonality. We also found that in order to alleviate the labor of writing accidentals, key signatures Figure 1 were created. To review, key signatures are placed immediately after a clef, and they indicate what accidentals are needed throughout a composition, thus those accidentals would not have to be written next to a note in the music [see Figure 1]. Any note that does not have an accidental is considered natural. Key signatures will have either all sharps or all flats. Key signatures with both sharps and flats do not exist. Figure 2 Key Signatures 2 - page 1 The Circle of 5ths: One of the easiest ways of recognizing key signatures is by using the circle of 5ths [see Figure 2]. To begin, we must simply memorize the key signature without any flats or sharps. For a major key, this is C-major and for a minor key, A-minor. After that, we can figure out the key signature by following the diagram in Figure 2. By adding one sharp, the key signature moves up a perfect 5th from what preceded it. Therefore, since C-major has not sharps or flats, by adding one sharp to the key signa- ture, we find G-major (G is a perfect 5th above C). You can see this by moving clockwise around the circle of 5ths. For key signatures with flats, we move counter-clockwise around the circle. Since we are moving “backwards,” it makes sense that by adding one flat, the key signature is a perfect 5th below from what preceded it.
    [Show full text]
  • Scanscore 2 Manual
    ScanScore 2 Manual Copyright © 2020 by Lugert Verlag. All Rights Reserved. ScanScore 2 Manual Inhaltsverzeichnis Welcome to ScanScore 2 ..................................................................................... 3 Overview ...................................................................................................... 4 Quickstart ..................................................................................................... 4 What ScanScore is not .................................................................................... 6 Scanning and importing scores ............................................................................ 6 Importing files ............................................................................................... 7 Using a scanner ............................................................................................. 7 Using a smartphone ....................................................................................... 7 Open ScanScore project .................................................................................. 8 Multipage import ............................................................................................ 8 Working with ScanScore ..................................................................................... 8 The menu bar ................................................................................................ 8 The File Menu ............................................................................................ 9 The
    [Show full text]
  • Music in Theory and Practice
    CHAPTER 4 Chords Harmony Primary Triads Roman Numerals TOPICS Chord Triad Position Simple Position Triad Root Position Third Inversion Tertian First Inversion Realization Root Second Inversion Macro Analysis Major Triad Seventh Chords Circle Progression Minor Triad Organum Leading-Tone Progression Diminished Triad Figured Bass Lead Sheet or Fake Sheet Augmented Triad IMPORTANT In the previous chapter, pairs of pitches were assigned specifi c names for identifi cation CONCEPTS purposes. The phenomenon of tones sounding simultaneously frequently includes group- ings of three, four, or more pitches. As with intervals, identifi cation names are assigned to larger tone groupings with specifi c symbols. Harmony is the musical result of tones sounding together. Whereas melody implies the Harmony linear or horizontal aspect of music, harmony refers to the vertical dimension of music. A chord is a harmonic unit with at least three different tones sounding simultaneously. Chord The term includes all possible such sonorities. Figure 4.1 #w w w w w bw & w w w bww w ww w w w w w w w‹ Strictly speaking, a triad is any three-tone chord. However, since western European music Triad of the seventeenth through the nineteenth centuries is tertian (chords containing a super- position of harmonic thirds), the term has come to be limited to a three-note chord built in superposed thirds. The term root refers to the note on which a triad is built. “C major triad” refers to a major Triad Root triad whose root is C. The root is the pitch from which a triad is generated. 73 3711_ben01877_Ch04pp73-94.indd 73 4/10/08 3:58:19 PM Four types of triads are in common use.
    [Show full text]
  • 10 Steps to Producing Better Materials
    10 STEPS TO PRODUCING BETTER MATERIALS If you are a composer who prepares your own parts, it’s pretty likely you are using computer software to typeset your music. The two most commonly used programs are Sibelius and Finale. I would like to offer some tips on how to prepare materials that are elegant and readable for your performers, so you won’t receive the dreaded call from the orchestra librarian “there are some serious problems with your parts.” 1. Proofread Your Score It may seem self evident, but I seldom receive a score from a composer that has been professionally proofread. Don’t trust the playback features of your software; they are helpful tools, but they can’t substitute for careful visual examination of the music. Be sure to print out the final score and carefully go through it. Proofreading onscreen is like scuba diving for treasure without a light; it’s pretty hit or miss what you will find. Pay particular attention to the extremes of the page and/or system (the end of one system, the start of the next). Be organized, and don’t try to read the music and imagine it in your head. Instead, try to look at the musical details and check everything for accuracy. Check items for continuity. If it says pizz., did you remember to put in arco? If the trumpet is playing with a harmon mute on page 10 and you never say senza sord., it will be that way for the rest of your piece, or the player will raise their hand in rehearsal and waste valuable time asking “do I ever remove this mute”? 2.
    [Show full text]