255 research outputs found

    Bertso transformation with pattern-based sampling

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    This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those that are repeated and those that are transposed in the piece. Two strategies are combined to describe the semiotic coherence structure of the template piece: inter-segment coherence and intra-segment coherence. Once the structure is described it is used as a template for new musical content that is generated using a statistical model created from a corpus of bertso melodies and iteratively improved using a stochastic optimization method. Results show that the method presented here effectively describes a coherence structure of a piece by discovering repetition and transposition relations between segments, and also by representing the relations among notes within the segments. For bertso generation the method correctly conserves all intra and inter-segment coherence of the template, and the optimization method produces coherent generated melodies

    Methodological contributions by means of machine learning methods for automatic music generation and classification

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    189 p.Ikerketa lan honetan bi gai nagusi landu dira: musikaren sorkuntza automatikoa eta sailkapena. Musikaren sorkuntzarako bertso doinuen corpus bat hartu da abiapuntu moduan doinu ulergarri berriak sortzeko gai den metodo bat sortzeko. Doinuei ulergarritasuna hauen barnean dauden errepikapen egiturek ematen dietela suposatu da, eta metodoaren hiru bertsio nagusi aurkeztu dira, bakoitzean errepikapen horien definizio ezberdin bat erabiliz.Musikaren sailkapen automatikoan hiru ataza garatu dira: generoen sailkapena, familia melodikoen taldekatzea eta konposatzaileen identifikazioa. Musikaren errepresentazio ezberdinak erabili dira ataza bakoitzerako, eta ikasketa automatikoko hainbat teknika ere probatu dira, emaitzarik hoberenak zeinek ematen dituen aztertzeko.Gainbegiratutako sailkapenaren alorrean ere binakako sailkapenaren gainean lana egin da, aurretik existitzen zen metodo bat optimizatuz. Hainbat datu baseren gainean probatu da garatutako teknika, baita konposatzaile klasikoen piezen ezaugarriez osatutako datu base batean ere

    Learning and Recalling Melodies: A Computational Investigation Using the Melodic Recall Paradigm

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    Using melodic recall paradigm data, we describe an algorithmic approach to assessing melodic learning across multiple attempts. In a first simulation experiment, we reason for using similarity measures to assess melodic recall performance over previously utilized accuracy-based measures. In Experiment 2, with up to six attempts per melody, 31 participants sang back 28 melodies (length 15–48 notes) presented either as a piano sound or a vocal audio excerpt from real pop songs. Our analysis aimed to predict the similarity between the target melody and participants’ sung recalls across successive attempts. Similarity was measured with different algorithmic measures reflecting various structural (e.g., tonality, intervallic) aspects of melodies and overall similarity. However, previous melodic recall research mentioned, but did not model, that the length of the sung recalls tends to increase across attempts, alongside overall performance. Consequently, we modeled how the attempt length changes alongside similarity to meet this omission in the literature. In a mediation analysis, we find that a target melody’s length, but not other melodic features, is the main predictor of similarity via the attempt length. We conclude that sheer length constraints appear to be the main factor when learning melodies long enough to require several attempts to recall. Analytical features of melodic structure may be more important for shorter melodies, or with stimulus sets that are structurally more diverse than those found in the sample of pop songs used in this study

    Methodological contributions by means of machine learning methods for automatic music generation and classification

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    189 p.Ikerketa lan honetan bi gai nagusi landu dira: musikaren sorkuntza automatikoa eta sailkapena. Musikaren sorkuntzarako bertso doinuen corpus bat hartu da abiapuntu moduan doinu ulergarri berriak sortzeko gai den metodo bat sortzeko. Doinuei ulergarritasuna hauen barnean dauden errepikapen egiturek ematen dietela suposatu da, eta metodoaren hiru bertsio nagusi aurkeztu dira, bakoitzean errepikapen horien definizio ezberdin bat erabiliz.Musikaren sailkapen automatikoan hiru ataza garatu dira: generoen sailkapena, familia melodikoen taldekatzea eta konposatzaileen identifikazioa. Musikaren errepresentazio ezberdinak erabili dira ataza bakoitzerako, eta ikasketa automatikoko hainbat teknika ere probatu dira, emaitzarik hoberenak zeinek ematen dituen aztertzeko.Gainbegiratutako sailkapenaren alorrean ere binakako sailkapenaren gainean lana egin da, aurretik existitzen zen metodo bat optimizatuz. Hainbat datu baseren gainean probatu da garatutako teknika, baita konposatzaile klasikoen piezen ezaugarriez osatutako datu base batean ere

    Musical practices in the Balkans : Ethnomusicological perspectives

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    Ова књига садрТи ΡΡ‚ΡƒΠ΄ΠΈΡ˜Π΅ насталС Π½Π° основу излагања Π½Π° ΠΌΠ΅Ρ’ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΌ скупу ΠœΡƒΠ·ΠΈΡ‡ΠΊΠ΅ праксС Π‘Π°Π»ΠΊΠ°Π½Π°: Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠ΅ пСрспСктивС, ΠΎΠ΄Ρ€ΠΆΠ°Π½ΠΎΠΌ Π½ΠΎΠ²Π΅ΠΌΠ±Ρ€Π° 2011. Π³ΠΎΠ΄ΠΈΠ½Π΅ Ρƒ Π‘Π΅ΠΎΠ³Ρ€Π°Π΄Ρƒ. ΠžΡ€Π³Π°Π½ΠΈΠ·ΠΎΠ²Π°ΡšΠ΅ΠΌ скупа ΠΆΠ΅Π»Π΅Π»ΠΈ смо, ΠΏΡ€Π΅ свСга, Π΄Π° ΠΊΠ°ΠΎ Π΄ΠΎΠΌΠ°Ρ›ΠΈΠ½ΠΈ ΠΌΠ΅Ρ’ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ скупа допринСсСмо ΡƒΡ‡Π²Ρ€ΡˆΡ›ΠΈΠ²Π°ΡšΡƒ ΠΏΠΎΡΡ‚ΠΎΡ˜Π΅Ρ›ΠΈΡ… ΠΊΠΎΠ½Ρ‚Π°ΠΊΠ°Ρ‚Π° ΠΌΠ΅Ρ’Ρƒ истраТивачима који сС Π±Π°Π²Π΅ ΠΌΡƒΠ·ΠΈΠΊΠ°ΠΌΠ° Π‘Π°Π»ΠΊΠ°Π½Π°, ΠΊΠ°ΠΎ ΠΈ Π΄Π° ΠΏΡ€ΡƒΠΆΠΈΠΌΠΎ могућност Π·Π° Π½ΠΎΠ²Π° профСсионална познанства. Π£ проблСмском смислу, Π½Π°ΠΌΠ΅Ρ€Π° Π½Π°ΠΌ јС Π±ΠΈΠ»Π° Π΄Π° створимо ΠΏΡ€ΠΈΠ»ΠΈΠΊΡƒ Π·Π° ΠΏΡ€Π΅ΠΈΡΠΏΠΈΡ‚ΠΈΠ²Π°ΡšΠ΅ ΠΈ ΡƒΠ½Π°ΠΏΡ€Π΅Ρ’ΠΈΠ²Π°ΡšΠ΅ сопствСних ΡƒΡ‡Π΅ΡˆΡ›Π° Ρƒ Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³ΠΈΡ˜ΠΈ, Π΄Π° Π΄ΠΈΡΠΊΡƒΡ‚ΠΎΠ²Π°ΡšΠ΅ΠΌ ΠΎ Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚ΠΈΠΌ истраТивачким ΡΡ‚Ρ€Π°Ρ‚Π΅Π³ΠΈΡ˜Π°ΠΌΠ° ΠΏΡ€ΠΈΠΌΠ΅ΡšΠΈΠ²Π°Π½ΠΈΠΌ Π½Π° балканскС ΠΌΡƒΠ·ΠΈΡ‡ΠΊΠ΅ праксС Ρƒ новијС Π²Ρ€Π΅ΠΌΠ΅ допринСсСмо ΡƒΠ½Π°ΠΏΡ€Π΅Ρ’Π΅ΡšΡƒ ΡšΠΈΡ…ΠΎΠ²ΠΈΡ… ΠΈΡΡ‚Ρ€Π°ΠΆΠΈΠ²Π°ΡšΠ°, ΠΊΠ°ΠΎ ΠΈ Π΄Π° ΡΠΊΡ€Π΅Ρ‚Π°ΡšΠ΅ΠΌ паТњС Π½Π° спСцифичнС ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ΅, Π°Π»ΠΈ ΠΈ врСдности Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³ΠΈΡ˜Π΅, односно β€žΠ½Π°Ρ†ΠΈΠΎΠ½Π°Π»Π½ΠΈΡ… Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³ΠΈΡ˜Π°β€œ Π½Π° Π‘Π°Π»ΠΊΠ°Π½Ρƒ ΡƒΡ‡Π΅ΡΡ‚Π²ΡƒΡ˜Π΅ΠΌΠΎ Ρƒ Π΅Ρ„ΠΈΠΊΠ°ΡΠ½ΠΈΡ˜Π΅ΠΌ ΡƒΠΊΡ™ΡƒΡ‡ΠΈΠ²Π°ΡšΡƒ β€žΠΌΠ°Π»ΠΈΡ…β€œ дисциплинарних Π·Π°Ρ˜Π΅Π΄Π½ΠΈΡ†Π° Ρƒ свСтско Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠΎ Π΄Ρ€ΡƒΡˆΡ‚Π²ΠΎ. ОваквС, Ρƒ извСсном смислу ΠΎΠΏΡˆΡ‚Π΅ ΠΏΠΎΡ‚Ρ€Π΅Π±Π΅, ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΡ€Π°Π½Π΅ су околностима Ρ€Π°Π·Π²ΠΎΡ˜Π° Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³ΠΈΡ˜Π΅ Ρƒ Π‘Ρ€Π±ΠΈΡ˜ΠΈ, посСбно ΠΏΠΎΡΠ»Π΅Π΄ΡšΠΈΡ… Π΄Π΅Ρ†Π΅Π½ΠΈΡ˜Π°. Π˜Π½Ρ‚Π΅Ρ€Π΅ΡΠΎΠ²Π°ΡšΠ° Π·Π° Ρ‚Ρ€Π°Π΄ΠΈΡ†ΠΈΠΎΠ½Π°Π»Π½Ρƒ Π½Π°Ρ€ΠΎΠ΄Π½Ρƒ ΠΌΡƒΠ·ΠΈΠΊΡƒ ΠΈΠ·Ρ€Π°ΠΆΠ΅Π½Π° ΠΊΡ€ΠΎΠ· записС ΠΎ њој, њСно Π½ΠΎΡ‚ΠΈΡ€Π°ΡšΠ΅ ΠΈ снимањС, Π° ΠΏΠΎΡ‚ΠΎΠΌ ΠΈ ΠΏΡ€Π²Π΅ ΡΡ‚ΡƒΠ΄ΠΈΡ˜Π΅ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΡ… ΠΌΡƒΠ·ΠΈΡ‡Π°Ρ€Π°, ΠΌΠ°Ρ…ΠΎΠΌ ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡ‚ΠΎΡ€Π°, Ρƒ Π‘Ρ€Π±ΠΈΡ˜ΠΈ су (Ρ‚Π΅ΠΊ) 1948. Π΄ΠΎΠ±ΠΈΠ»ΠΈ институционално ΠΎΠΊΡ€ΠΈΡ™Π΅ оснивањСм ΠœΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠΎΠ³ института БрпскС акадСмијС Π½Π°ΡƒΠΊΠ° (данас БрпскС акадСмијС Π½Π°ΡƒΠΊΠ° ΠΈ умСтности – БАНУ). Од оснивања Π΄ΠΎ данас Ρ‚ΠΎ јС Π΄Ρ€ΠΆΠ°Π²Π½Π° установа, Ρ‚Π΅ јС Π½Π°Ρ‡ΠΈΠ½ Ρ€Π°Π΄Π° условљСн Π΄Ρ€ΠΆΠ°Π²Π½ΠΈΠΌ ΠΊΡƒΠ»Ρ‚ΡƒΡ€Π½ΠΈΠΌ ΠΈ Π½Π°ΡƒΡ‡Π½ΠΈΠΌ ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ°ΠΌΠ°, Π° ΠΎΠ±ΠΈΠΌ Π½Π°ΡƒΡ‡Π½Π΅ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΡ˜Π΅ ΠΊΡ™ΡƒΡ‡Π½ΠΎ јС ΠΎΠ΄Ρ€Π΅Ρ’ΠΈΠ²Π°ΠΎ ΡƒΠ²Π΅ΠΊ ΠΌΠ°Π»ΠΈ Π±Ρ€ΠΎΡ˜ истраТивача. ΠŸΠΎΠ²Π΅Ρ›Π°ΡšΠ΅ Π±Ρ€ΠΎΡ˜Π° Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³Π° запослСних Ρƒ Π˜Π½ΡΡ‚ΠΈΡ‚ΡƒΡ‚Ρƒ Ρ€Π΅Π·ΡƒΠ»Ρ‚ΠΈΡ€Π°Π»ΠΎ јС ΠΈΠ½ΠΈΡ†ΠΈΡ˜Π°Ρ‚ΠΈΠ²ΠΎΠΌ Π΄Π° сС Ρƒ ΠΎΠΊΠ²ΠΈΡ€Ρƒ обСлСТавања 170 Π³ΠΎΠ΄ΠΈΠ½Π° ΠΏΠΎΡΡ‚ΠΎΡ˜Π°ΡšΠ° БАНУ, Π½Π°ΠΊΠΎΠ½ Π²Π΅Ρ›Π΅Π³ Π±Ρ€ΠΎΡ˜Π° скупова којС су ΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΎΠ²Π°Π»ΠΈ ΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ·ΠΈ ΠΈΠ· Π˜Π½ΡΡ‚ΠΈΡ‚ΡƒΡ‚Π°, ΠΏΡ€ΠΈΡ€Π΅Π΄ΠΈ ΠΌΠ΅Ρ’ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΈ Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠΈ скуп. Π’ΠΎ јС, ΡƒΡ˜Π΅Π΄Π½ΠΎ, Π±ΠΈΠΎ ΠΈ ΠΏΡ€Π²ΠΈ ΡΠΏΠ΅Ρ†ΠΈΡ˜Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ΠΈ Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠΈ ΡΠΈΠΌΠΏΠΎΠ·ΠΈΡ˜ΡƒΠΌ Ρƒ Π‘Ρ€Π±ΠΈΡ˜ΠΈ, Π° сходно Ρ‚ΠΎΠΌΠ΅, ΠΎΠ²ΠΎ јС ΠΏΡ€Π²ΠΈ Π·Π±ΠΎΡ€Π½ΠΈΠΊ Ρ‚Π°ΠΊΠ²ΠΎΠ³ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π° ΠΎΠ±Ρ˜Π°Π²Ρ™Π΅Π½ Ρƒ нашој Π·Π΅ΠΌΡ™ΠΈ. КомплСксна ΠΏΠΎΠ΄Ρ€ΡˆΠΊΠ° ΠΊΠΎΡ˜Ρƒ смо Π΄ΠΎΠ±ΠΈΠ»ΠΈ ΠΎΠ΄ БАНУ – ΠžΠ΄Π΅Ρ™Π΅ΡšΠ° Π»ΠΈΠΊΠΎΠ²Π½Π΅ ΠΈ ΠΌΡƒΠ·ΠΈΡ‡ΠΊΠ΅ умСтности, ΠΊΠ°ΠΎ ΠΈ ΠΏΡ€ΠΈΠ·Π½Π°Π²Π°ΡšΠ΅ ваТности ΠΎΠ²Π°ΠΊΠ²ΠΎΠ³ скупа ΠΎΠ΄ странС ΠœΠΈΠ½ΠΈΡΡ‚Π°Ρ€ΡΡ‚Π²Π° просвСтС ΠΈ Π½Π°ΡƒΠΊΠ΅ Π Π΅ΠΏΡƒΠ±Π»ΠΈΠΊΠ΅ Π‘Ρ€Π±ΠΈΡ˜Π΅, ΡˆΡ‚ΠΎ јС ΠΏΠΎΠ΄Ρ€Π°Π·ΡƒΠΌΠ΅Π²Π°Π»ΠΎ Ρ„ΠΈΠ½Π°Π½ΡΠΈΡ˜ΡΠΊΡƒ ΠΏΠΎΠΌΠΎΡ› ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΡ˜ΠΈ, Π±ΠΈΠ»ΠΈ су Π½Π΅ΠΎΠΏΡ…ΠΎΠ΄Π½ΠΈ прСдуслови ΠΈ Π·Π° саму Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΡ˜Ρƒ скупа, ΠΈ Π·Π° ΠΎΠ±Ρ˜Π°Π²Ρ™ΠΈΠ²Π°ΡšΠ΅ ΠΎΠ²ΠΎΠ³ Π·Π±ΠΎΡ€Π½ΠΈΠΊΠ°. Као ΠΈ ΡƒΠ²Π΅ΠΊ, ΠΎΠ±ΠΈΠΌ ΠΏΠΎΠΌΠΎΡ›ΠΈ, Π° посСбно Ρ€ΠΎΠΊΠΎΠ²ΠΈ, Π±ΠΈΠ»ΠΈ су Π»ΠΈΠΌΠΈΡ‚ΠΈΡ€Π°Ρ˜ΡƒΡ›ΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΈ нашим идСјама ΠΈ профСсионалним ΠΆΠ΅Ρ™Π°ΠΌΠ°. Π˜Π·Ρ€Π°ΠΆΠ°Π²Π°ΠΌΠΎ Π½Π°Ρ€ΠΎΡ‡ΠΈΡ‚Ρƒ захвалност ΡƒΠ²Π°ΠΆΠ΅Π½ΠΈΠΌ ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠ° који су Π±ΠΈΠ»ΠΈ Ρƒ саставу ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΡΠΊΠΎΠ³ ΠΎΠ΄Π±ΠΎΡ€Π° скупа: Π˜Π·Π°Ρ™ΠΈΡ˜Ρƒ ЗСмцовском, Џиму Бамсону, ΠœΠ°Ρ€Ρ‚ΠΈΠ½Ρƒ Бтоуксу, Π›ΠΎΠ·Π°Π½ΠΊΠΈ ΠŸΠ΅Ρ˜Ρ‡Π΅Π²ΠΎΡ˜ ΠΈ ΠŸΠ°Π»Ρƒ Π ΠΈΡ…Ρ‚Π΅Ρ€Ρƒ. НСпосрСднС Π·Π°Π΄Π°Ρ‚ΠΊΠ΅ ΠΈΠ· Π΄ΠΎΠΌΠ΅Π½Π° ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΡ˜Π΅ скупа Π΄Π΅Π»ΠΈΠ»ΠΈ смо првСнствСно са ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠ°-Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ·ΠΈΠΌΠ° ΠΈΠ· Π˜Π½ΡΡ‚ΠΈΡ‚ΡƒΡ‚Π°, Растком ΠˆΠ°ΠΊΠΎΠ²Ρ™Π΅Π²ΠΈΡ›Π΅ΠΌ ΠΈ ΠœΠ°Ρ€ΠΈΡ˜ΠΎΠΌ Π”ΡƒΠΌΠ½ΠΈΡ›. Π’Π΅Π»ΠΈΠΊΠΎ Π½Π°ΠΌ јС задовољство ΡˆΡ‚ΠΎ смо ΠΈΠΌΠ°Π»ΠΈ ΠΏΡ€ΠΈΠ»ΠΈΠΊΡƒ Π΄Π° ΠΎΠΊΡƒΠΏΠΈΠΌΠΎ 26 Π΅Ρ‚Π½ΠΎΠΌΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΠ³Π° ΠΈΠ· 11 Π·Π΅ΠΌΠ°Ρ™Π°: БугарскС, Π’Π΅Π»ΠΈΠΊΠ΅ Π‘Ρ€ΠΈΡ‚Π°Π½ΠΈΡ˜Π΅, Π“Ρ€Ρ‡ΠΊΠ΅, Π›ΠΈΡ‚Π²Π°Π½ΠΈΡ˜Π΅, ΠœΠ°Ρ’Π°Ρ€ΡΠΊΠ΅, МакСдонијС, Π ΡƒΡΠΈΡ˜Π΅, БловСнијС, ВурскС, ΠΡƒΡΡ‚Ρ€Π°Π»ΠΈΡ˜Π΅ ΠΈ Π‘Ρ€Π±ΠΈΡ˜Π΅. Π–Π°ΠΎ Π½Π°ΠΌ јС ΡˆΡ‚ΠΎ, Π·Π±ΠΎΠ³ ΠΎΠ±Ρ˜Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΈΡ… околности, Π½Π° скупу нису ΠΌΠΎΠ³Π»ΠΈ Π΄Π° ΡƒΠ·ΠΌΡƒ ΡƒΡ‡Π΅ΡˆΡ›Π° Π½Π΅ΠΊΠΈ ΠΎΠ΄ истраТивача ΠΌΡƒΠ·ΠΈΠΊΠ° Π‘Π°Π»ΠΊΠ°Π½Π° са Π΄Ρ€ΡƒΠ³ΠΈΡ… ΠΏΠΎΠ΄Ρ€ΡƒΡ‡Ρ˜Π°, Ρ‡ΠΈΡ˜Π° Π±ΠΈ искуства Π½Π΅ΡΡƒΠΌΡšΠΈΠ²ΠΎ Π΄ΠΎΠΏΡ€ΠΈΠ½Π΅Π»Π° ΠΊΠ²Π°Π»ΠΈΡ‚Π΅Ρ‚Ρƒ ΡΠΈΠΌΠΏΠΎΠ·ΠΈΡ˜ΡƒΠΌΠ° ΠΈ Π·Π±ΠΎΡ€Π½ΠΈΠΊΠ°. Π’Π΅Π»ΠΈΠΊΠ° Π²Π΅Ρ›ΠΈΠ½Π° учСсника скупа јС ΠΏΡ€ΠΈΡ€Π΅Π΄ΠΈΠ»Π° своја излагања Π·Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°ΡšΠ΅. Π‘Π°Π΄Π° сС ΠΏΡ€Π΅Π΄ Ρ‡ΠΈΡ‚Π°ΠΎΡ†ΠΈΠΌΠ° Π½Π°Π»Π°Π·ΠΈ двадСсСт јСдна ΡΡ‚ΡƒΠ΄ΠΈΡ˜Π° која Π½Π° Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΡ‚Π΅ Π½Π°Ρ‡ΠΈΠ½Π΅ освСтљава ΠΌΡƒΠ·ΠΈΡ‡ΠΊΠ΅ праксС Π‘Π°Π»ΠΊΠ°Π½Π°, свСдочСћи ΠΎ ΡˆΠΈΡ€ΠΈΠ½ΠΈ Π°ΠΊΡ‚ΡƒΠ΅Π»Π½ΠΈΡ… истраТивачких ΠΈΠ½Ρ‚Π΅Ρ€Π΅ΡΠΎΠ²Π°ΡšΠ° ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ˜Π°. ИздањС ΡƒΠΊΡ™ΡƒΡ‡ΡƒΡ˜Π΅ ΠΈ Π²Ρ€Π΅Π΄Π½Π΅ Π°ΡƒΠ΄ΠΈΠΎ ΠΈ Π²ΠΈΠ΄Π΅ΠΎ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Π½Π° ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΎΠΌ диску, Ρ‡ΠΈΠΌΠ΅ Ρ‡ΠΈΡ‚Π°ΠΎΡ†ΠΈΠΌΠ° ΠΎΠΌΠΎΠ³ΡƒΡ›Π°Π²Π°ΠΌΠΎ ΠΏΠΎΡ‚ΠΏΡƒΠ½ΠΈΡ˜ΠΈ ΡƒΠ²ΠΈΠ΄ Ρƒ истраТивану ΠΌΡƒΠ·ΠΈΠΊΡƒ ΠΈ Π½Π°ΡƒΡ‡Π½Π΅ приступС. ΠžΠ±Ρ€Π°Ρ›Π°Ρ˜ΡƒΡ›ΠΈ сС ΡˆΠΈΡ€Π΅ΠΌ ΠΊΡ€ΡƒΠ³Ρƒ Ρ‡ΠΈΡ‚Π°Π»Π°Ρ†Π°, Π·Π±ΠΎΡ€Π½ΠΈΠΊ јС ΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½ Π½Π° СнглСском Ρ˜Π΅Π·ΠΈΠΊΡƒ, Π°Π»ΠΈ јС Π°ΡƒΡ‚ΠΎΡ€ΠΈΠΌΠ° остављСна могућност Π΄Π° својС Ρ€Π°Π΄ΠΎΠ²Π΅ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅ ΠΈ Π½Π° ΠΌΠ°Ρ‚Π΅Ρ€ΡšΠΈΠΌ Ρ˜Π΅Π·ΠΈΡ†ΠΈΠΌΠ°, ΠΏΠ° су ΠΎΠ²Π΅ Π²Π΅Ρ€Π·ΠΈΡ˜Π΅ Ρ‚Π°ΠΊΠΎΡ’Π΅ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½Π΅ Π½Π° диску. Π£Ρ€Π΅Ρ’ΠΈΠ²Π°ΡšΠ΅ ΠΎΠ²ΠΎΠ³ ΠΎΠ±ΠΈΠΌΠ½ΠΎΠ³ ΠΈ комплСксног Π·Π±ΠΎΡ€Π½ΠΈΠΊΠ° јС Π±ΠΈΠ»ΠΎ посСбно искуство. Π—Π°Ρ…Π²Π°Ρ™ΡƒΡ˜Π΅ΠΌΠΎ сС свим Π°ΡƒΡ‚ΠΎΡ€ΠΈΠΌΠ° Π·Π° ΠΏΡ€ΠΈΠ»ΠΎΠ³Π΅ ΠΈ ΡΠ°Ρ€Π°Π΄ΡšΡƒ. ΠŸΠΎΡΠ΅Π±Π½Ρƒ захвалност Π΄ΡƒΠ³ΡƒΡ˜Π΅ΠΌΠΎ Ρ€Π΅Ρ†Π΅Π½Π·Π΅Π½Ρ‚ΠΈΠΌΠ° ΡΡ‚ΡƒΠ΄ΠΈΡ˜Π°. Π£ ΠΎΠ²ΠΎΠΌ ΠΎΠ±ΠΈΠΌΠ½ΠΎΠΌ послу ΠΏΠΎΠ΄Ρ€ΡˆΠΊΡƒ смо ΠΈΠΌΠ°Π»ΠΈ ΠΎΠ΄ Ρ‡ΠΈΡ‚Π°Π²ΠΎΠ³ ΠΊΠΎΠ»Π΅ΠΊΡ‚ΠΈΠ²Π° ΠœΡƒΠ·ΠΈΠΊΠΎΠ»ΠΎΡˆΠΊΠΎΠ³ института, Π° Π½Π°Ρ€ΠΎΡ‡ΠΈΡ‚ΠΎ ΠΎΠ΄ ΠΊΠΎΠ»Π΅Π³ΠΈΠ½ΠΈΡ†Π΅ Π΄Ρ€ ΠœΠ΅Π»ΠΈΡ‚Π΅ Милин, која јС ΠΈΠΌΠ°Π»Π° ΠΌΠ½ΠΎΡˆΡ‚Π²ΠΎ Π΄Ρ€Π°Π³ΠΎΡ†Π΅Π½ΠΈΡ… ΡΡƒΠ³Π΅ΡΡ‚ΠΈΡ˜Π°. АнгаТовањС Π΄Ρ€ ЈСлСнС Π‘ΠΈΠΌΠΎΠ½ΠΎΠ²ΠΈΡ›-Schiff (Π”Ρ€ΠΆΠ°Π²Π½ΠΈ ΡƒΠ½ΠΈΠ²Π΅Ρ€Π·ΠΈΡ‚Π΅Ρ‚ ΠŸΠΎΡ€Ρ‚Π»Π°Π½Π΄Π°, БАД) ΠΎΠΊΠΎ Π»Π΅ΠΊΡ‚ΠΎΡ€ΠΈΡΠ°ΡšΠ° тСкстова Π½Π° СнглСском Ρ˜Π΅Π·ΠΈΠΊΡƒ, Π—ΠΎΡ€Π°Π½Π° ΠˆΠ΅Ρ€ΠΊΠΎΠ²ΠΈΡ›Π° Ρƒ ΠΏΡ€ΠΈΠΏΡ€Π΅ΠΌΠΈ Π·Π²ΡƒΡ‡Π½ΠΈΡ… ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π°, Милоша Π Π°ΡˆΠΈΡ›Π° Ρƒ ΠΎΠ±Ρ€Π°Π΄ΠΈ Π²ΠΈΠ΄Π΅ΠΎ- ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π° ΠΈ Π“ΠΎΡ€Π°Π½Π° ΠˆΠ°ΡšΠΈΡ›Π° Π½Π° Ρ‚Π΅Ρ…Π½ΠΈΡ‡ΠΊΠΎΡ˜ ΠΏΡ€ΠΈΠΏΡ€Π΅ΠΌΠΈ издања, Π΄Π°Π»Π΅ΠΊΠΎ јС ΠΏΡ€Π΅Π²Π°Π·ΠΈΡˆΠ»ΠΎ Π±Π°Π·ΠΈΡ‡Π½Π΅ Π·Π°Π΄Π°Ρ‚ΠΊΠ΅, Π·Π±ΠΎΠ³ Ρ‡Π΅Π³Π° смо ΠΈΠΌ Π²Π΅Π»ΠΈΠΊΠΈ Π΄ΡƒΠΆΠ½ΠΈΡ†ΠΈ.This book is comprised of studies presented at the international symposium Musical practices in the Balkans: ethnomusicological perspectives, held in November 2011 in Belgrade, Serbia. By organizing this international meeting, as hosts, we above all wanted to contribute to strengthening the existing ties among researchers involved with Balkan musics and to facilitate new professional contacts. Our intent was to create an opportunity for reassessment and improvement of each of our own shares in ethnomusicology, to contribute to the advancement of research by discussing various research strategies recently applied to Balkan musical practices, and to participate in the more efficient inclusion of β€˜small’ disciplinary communities in the global ethnomusicologies by highlighting specific values and problems of β€˜national ethnomusicologies’ in the Balkans. These, so to speak, general needs, were reinforced in circumstances of the growth of the ethnomusicology in Serbia, particularly in recent decades. The interests in traditional folk music expressed through writings, notation, and recording of the same, followed by the first research studies by educated musiciansβ€”mainly composers, became institutionalized in Serbia (only) in 1948 with foundation of the Institute of musicology of Serbian academy of sciences (today Serbian academy of sciences and artsβ€”SASA). Since its beginning, SASA has been a state institution, with its work regimen determined by the government culture and science politics and the scope of research output administered by a small number of researchers. The increase in number of ethnomusicologists employed by the Institute resulted in an initiative to celebrate the SASA 170th anniversary by organizing an ethnomusicology conference, in the footsteps of a number of similar professional meetings coordinated by the Institute’s musicologists. This was at the same time the first narrowly specialized ethnomusicology symposium in Serbia, and consequently, in front of you is the first proceedings of such profile published in our country. The substantial support received from the SASA Department of fine arts and music and the acknowledgement of the significance of such a meeting by the Ministry of education and science of the Republic of Serbia, including funding the event organization, were essential and indispensable prerequisites for the Symposium realization and publication of this book. As is usually the case, the extent of financial support and particularly deadlines, imposed limits on some of our ideas and professional desires. We are deeply grateful to our esteemed colleagues, members of the Symposium Program committee: Izaly Zemtsovsky, Jim Samson, Martin Stokes, Lozanka Peycheva, and PΓ‘l Richter. The Symposium immediate logistics duties were helpfully shared primarily with our colleagues, the Institute ethnomusicologists, Rastko JakovljeviΔ‡ and Marija DumniΔ‡. It was our satisfaction to have the opportunity to gather twenty-six ethnomusicologists from eleven countries: Bulgaria, Great Britain, Greece, Hungary, Lithuania, Macedonia, Russia, Slovenia, Turkey, Australia, and Serbia. We regret that due to objective circumstances, some of the Balkans researchers from other regions, whose experiences would unquestionably contribute to the quality of the Symposium and these proceedings, could not take part. The vast majority of the Symposium participants prepared their papers for publication. The readers are offered twenty-one studies that in different ways illuminate Balkan musical practices and testify to the breadth of current research interests and methodologies. The publication also includes a compact disc with useful audio and video examples, assembled with the idea to provide the reader with even more complete insight into the researched music and utilized approaches. In order to address a wider audience, the proceedings are published in English. Since the contributing authors could optionally submit an additional version of the paper in their native language, those versions are also provided on the compact disc. Editing of this extensive and comprehensive publication presented a unique experience. We would like to thank all of the authors for submitting their papers and for their cooperation. We also extend our sincere gratitude to our reviewers. In this voluminous undertaking, we enjoyed the support of our colleagues at the Institute, but in particular, the encouragement from Melita Milin who offered a number of valuable suggestions. We truly appreciate the cooperation of Jelena SimonoviΔ‡ Schiff (Portland State University, USA) in proof reading papers in English, Zoran JerkoviΔ‡ in mastering of audio examples, MiloΕ‘ RaΕ‘iΔ‡ in preparing of video examples, and Goran JanjiΔ‡ in technical preparation for print that exceeded standard duties and helped shape this publication.ΠžΠ±Ρ˜Π°Π²Ρ™ΠΈΠ²Π°ΡšΠ΅ ΠΎΠ²ΠΎΠ³ Π·Π±ΠΎΡ€Π½ΠΈΠΊΠ° Ρ„ΠΈΠ½Π°Π½ΡΠΈΡ˜ΡΠΊΠΈ јС ΠΏΠΎΠΌΠΎΠ³Π»ΠΎ ΠœΠΈΠ½ΠΈΡΡ‚Π°Ρ€ΡΡ‚Π²ΠΎ просвСтС, Π½Π°ΡƒΠΊΠ΅ ΠΈ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΡˆΠΊΠΎΠ³ Ρ€Π°Π·Π²ΠΎΡ˜Π° Π Π΅ΠΏΡƒΠ±Π»ΠΈΠΊΠ΅ Π‘Ρ€Π±ΠΈΡ˜Π΅. / These proceedings have been financially supported by Ministry of education, science and technological development of the Republic of Serbia. Π—Π±ΠΎΡ€Π½ΠΈΠΊ Ρ€Π°Π΄ΠΎΠ²Π° са Π½Π°ΡƒΡ‡Π½ΠΎΠ³ скупа ΠΎΠ΄Ρ€ΠΆΠ°Π½ΠΎΠ³ ΠΎΠ΄ 23. Π΄ΠΎ 25. Π½ΠΎΠ²Π΅ΠΌΠ±Ρ€Π° 2011. / Proceeding of the international conference held from november 23 to 25. , 2011

    Hearing in the mind\u27s ear: A PET investigation of musical imagery and perception

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    Neuropsychological studies have suggested that imagery processes may be mediated by neuronal mechanisms similar to those used in perception. To test this hypothesis, and to explore the neural basis for song imagery, 12 normal subjects were scanned using the water bolus method to measure cerebral blood flow (CBF) during the performance of three tasks. In the control condition subjects saw pairs of words on each trial and judged which word was longer. In the perceptual condition subjects also viewed pairs of words, this time drawn from a familiar song; simultaneously they heard the corresponding song, and their task was to judge the change in pitch of the two cued words within the song. In the imagery condition, subjects performed precisely the same judgment as in the perceptual condition, but with no auditory input. Thus, to perform the imagery task correctly an internal auditory representation must be accessed. Paired-image subtraction of the resulting pattern of CBF, together with matched MRI for anatomical localization, revealed that both perceptual and imagery. tasks produced similar patterns of CBF changes, as compared to the control condition, in keeping with the hypothesis. More specifically, both perceiving and imagining songs are associated with bilateral neuronal activity in the secondary auditory cortices, suggesting that processes within these regions underlie the phenomenological impression of imagined sounds. Other CBF foci elicited in both tasks include areas in the left and right frontal lobes and in the left parietal lobe, as well as the supplementary motor area. This latter region implicates covert vocalization as one component of musical imagery. Direct comparison of imagery and perceptual tasks revealed CBF increases in the inferior frontal polar cortex and right thalamus. We speculate that this network of regions may be specifically associated with retrieval and/or generation of auditory information from memory

    Acquired and congenital disorders of sung performance: A review.

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    Many believe that the majority of people are unable to carry a tune. Yet, this widespread idea underestimates the singing abilities of the layman. Most occasional singers can sing in tune and in time, provided that they perform at a slow tempo. Here we characterize proficient singing in the general population and identify its neuronal underpinnings by reviewing behavioral and neuroimaging studies. In addition, poor singing resulting from a brain injury or neurogenetic disorder (i.e., tone deafness or congenital amusia) is examined. Different lines of evidence converge in indicating that poor singing is not a monolithic deficit. A variety of poor-singing "phenotypes" are described, with or without concurrent perceptual deficits. In addition, particular attention is paid to the dissociations between specific abilities in poor singers (e.g., production of absolute vs. relative pitch, pitch vs. time accuracy). Such diversity of impairments in poor singers can be traced to different faulty mechanisms within the vocal sensorimotor loop, such as pitch perception and sensorimotor integration

    Neural processing of poems and songs is based on melodic properties

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    The neural processing of speech and music is still a matter of debate. A long tradition that assumes shared processing capacities for the two domains contrasts with views that assume domain-specific processing. We here contribute to this topic by investigating, in a functional magnetic imaging (fMRI) study, ecologically valid stimuli that are identical in wording and differ only in that one group is typically spoken (or silently read), whereas the other is sung: poems and their respective musical settings. We focus on the melodic properties of spoken poems and their sung musical counterparts by looking at proportions of significant autocorrelations (PSA) based on pitch values extracted from their recordings. Following earlier studies, we assumed a bias of poem-processing towards the left and a bias for song-processing on the right hemisphere. Furthermore, PSA values of poems and songs were expected to explain variance in left- vs. right-temporal brain areas, while continuous liking ratings obtained in the scanner should modulate activity in the reward network. Overall, poem processing compared to song processing relied on left temporal regions, including the superior temporal gyrus, whereas song processing compared to poem processing recruited more right temporal areas, including Heschl's gyrus and the superior temporal gyrus. PSA values co-varied with activation in bilateral temporal regions for poems, and in right-dominant fronto-temporal regions for songs. Continuous liking ratings were correlated with activity in the default mode network for both poems and songs. The pattern of results suggests that the neural processing of poems and their musical settings is based on their melodic properties, supported by bilateral temporal auditory areas and an additional right fronto-temporal network known to be implicated in the processing of melodies in songs. These findings take a middle ground in providing evidence for specific processing circuits for speech and music in the left and right hemisphere, but simultaneously for shared processing of melodic aspects of both poems and their musical settings in the right temporal cortex. Thus, we demonstrate the neurobiological plausibility of assuming the importance of melodic properties in spoken and sung aesthetic language alike, along with the involvement of the default mode network in the aesthetic appreciation of these properties
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