computational analysis of seyir - compmusic.upf.edu

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Computational analysis of Seyir Barış Bozkurt, Nilgün Doğrusöz Dişiaçık

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Page 1: Computational analysis of Seyir - compmusic.upf.edu

Computational analysis of Seyir

Barış Bozkurt, Nilgün Doğrusöz Dişiaçık

Page 2: Computational analysis of Seyir - compmusic.upf.edu

THE MAKAM CONCEPT

Powers, 1980

Built with certain ajnas that consist of certain pitches, degrees and intervals, ”makam” is defined as a melodic structure that is formed by starting from certain notes, following a certain melodic direction, stopping at certain pitches and finally staying on a certain pitch. (Yalçın Tura)

Page 3: Computational analysis of Seyir - compmusic.upf.edu

Makam Features Scale, intervals and intonation of specific notes in the

scale (intervalic structure) Overall melodic progression

(ascending, descending, etc.) Typical phrases, emphasis on certain scale degrees Hierarchy of tones and their frequency of occurrence

in a piece, karar, güçlü, yeden, etc.

Seyir

Page 4: Computational analysis of Seyir - compmusic.upf.edu

Cem Behar, Saklı Mecmua, YKY, İstanbul, s.142 Turc 292 yazmanın 179b sayfasında dört makamda (Hüseyni, Dügah , Neva ve Bayati) seyir örnekleri

Ali Ufkî (1610-1675)

Page 5: Computational analysis of Seyir - compmusic.upf.edu

Uşşak-Beyati-Isfahan

Hüseyni – Muhayyer - Gülizar

SCALES (single octave)

Discriminating features for makams with the same scale are mainly the seyir characteristics. We want to be able to track those characteristics on data.

Page 6: Computational analysis of Seyir - compmusic.upf.edu

Ascending: begins around the tonic, gradually rises to the dominant, and eventually returns to the same tonic. Descending begins around the upper tonic, descend to the dominant and finally make a cadence on the tonic. Ascending-descending direction begins around the dominant, then explores the regions both above and below that point before making another stop on the same tonal center, and then proceeds to the final cadence on the tonic.

ascending(cikici)ascending(cikici)

descending(inici)

descending(inici)

ascending-descending(inici-cikici)

ascending-descending(inici-cikici)

Main categories for the overall melodic progression

Page 7: Computational analysis of Seyir - compmusic.upf.edu

Pitch hierarchy can be studied with pitch histograms

Segah

Dügah

Neva

Çargah

Hüseyni

Muhayyer

A4 C5 D5 E5 G5 A5

Time dimension is lost in histogram

Page 8: Computational analysis of Seyir - compmusic.upf.edu

Analysis of the overall progression for a collection of data Scores

Resampling

Page 9: Computational analysis of Seyir - compmusic.upf.edu

0 2 4 6 8 10 12 14 16 18 20290

300

310

320

330

340

350

360

370

380Rast

Time (percentage)

Rela

tive

Freq

. (H.

Com

mas

)

Long term melodic progression analysis

0 2 4 6 8 10 12 14 16 18 20290

300

310

320

330

340

350

360

370

380Beyati

Time (percentage)

Rela

tive

Freq

. (H.

Com

mas

)

0 2 4 6 8 10 12 14 16 18 20290

300

310

320

330

340

350

360

370

380Muhayyer

Time (percentage)

Rela

tive

Freq

. (H.

Com

mas

)

Ascending-descending

Mid-range progression Ascending

Descending

Page 10: Computational analysis of Seyir - compmusic.upf.edu

Overall histogram

Number of files

International naming Perde names

Time index Pitch/interval info

Page 11: Computational analysis of Seyir - compmusic.upf.edu

Hüseyni (57 eser) Muhayyer (45 eser)

Page 12: Computational analysis of Seyir - compmusic.upf.edu

Bestenigar (8 eser) Saba (27 eser)

Page 13: Computational analysis of Seyir - compmusic.upf.edu

Uşşak (72 eser) Beyati (26 eser)

Page 14: Computational analysis of Seyir - compmusic.upf.edu

Mesauring progression on audio signals

Uşşak

Hüseyni

Muhayyer