Contrairement à l'exemple précédent, il s'agira ici de comparer les centres fréquentiels de mélodies chantées par des personnes différentes. Il faudra donc procéder en premier lieu à la transposition des fréquences sur une même fréquence :
from music22.modalis import melodies
path = "/Users/anas/AUDIO/quatre_chants/"
Kchants = melodies(path,transpose='Yes',freqref=300)Reading the content of : /Users/anas/AUDIO/quatre_chants/
Instance created with the audio file : Gh11.wav Instance created with the txt file : Gh11.txt /Users/anas/AUDIO/quatre_chants/Gh11.wav appended Instance created with the audio file : Gh11.wav Instance created with the txt file : Gh11.txt Instance created with the audio file : Gu16.wav Instance created with the txt file : Gu16.txt /Users/anas/AUDIO/quatre_chants/Gu16.wav appended Instance created with the audio file : Gu16.wav Instance created with the txt file : Gu16.txt Instance created with the audio file : Ta12.wav Instance created with the txt file : Ta12.txt /Users/anas/AUDIO/quatre_chants/Ta12.wav appended Instance created with the audio file : Ta12.wav Instance created with the txt file : Ta12.txt Instance created with the audio file : Ta13.wav Instance created with the txt file : Ta13.txt /Users/anas/AUDIO/quatre_chants/Ta13.wav appended Instance created with the audio file : Ta13.wav Instance created with the txt file : Ta13.txt
Afficher tous les attributs de la classe :
Kchants.__dict__- {'freqref': 300,
'labels': ['Gh11', 'Gu16', 'Ta12', 'Ta13'], 'melodies': [<music22.modalis.melodia at 0x10f9b5490>, <music22.modalis.melodia at 0x10f9b5fd0>, <music22.modalis.melodia at 0x10fb78dd0>, <music22.modalis.melodia at 0x10fdc2a50>], 'path': '/Users/anas/AUDIO/quatre_chants/', 'transpose': 'Yes', 'wavfiles': ['/Users/anas/AUDIO/quatre_chants/Gh11.wav', '/Users/anas/AUDIO/quatre_chants/Gu16.wav', '/Users/anas/AUDIO/quatre_chants/Ta12.wav', '/Users/anas/AUDIO/quatre_chants/Ta13.wav']}
%matplotlib inlineKchants.pdf_show()
Affichage des attributs du premier chant (en Python la numérotation d'effectue de 0 à 3):
Kchants.melodies[0].__dict__- {'clean_freqs': array([ 227.35696843, 228.67438539, 229.99875442, ..., 310.57931007,
312.37815776, 312.37815776]),
- 'dominante': 330.66132264529057,
'file': [TxtFile: /Users/anas/AUDIO/quatre_chants/f0/Gh11.txt], 'final_freqs': array([ 298.271542 , 300. , 301.7380171 , 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 303.48559329, 305.24359758, 307.01202998, 308.79089047, 308.79089047, 308.79089047, 310.57931007, 310.57931007, 312.37815776, 312.37815776]), 'freqs': array([ nan, nan, nan, ..., nan, nan, nan]), 'intervals': 2 37.551739 1 -5.291012 0 -61.006452 3 87.239523 5 128.632208 4 116.732985 Name: xpeaks, dtype: float64, 'method': 'pdf', 'mode': array([ 300.]), 'name': 'Gh11', 'ordredpeaks': xpeaks ypeaks 2 330.661323 0.024328 1 299.599198 0.023206 0 263.527054 0.004982 3 370.741483 0.000242 5 407.815631 0.000153 4 396.793587 0.000132, 'pdf': array([ 0.00000000e+000, 0.00000000e+000, 0.00000000e+000, 0.00000000e+000, 0.00000000e+000, 0.00000000e+000, 2.74480027e-070, 4.53243527e-072, 7.08325988e-074, [...] 1.04764808e-075, 1.46648737e-077, 1.94277217e-079, 2.43582480e-081, 2.89035266e-083, 3.24590814e-085, 3.44986583e-087, 3.47015415e-089, 3.30351211e-091, 2.97634730e-093, 2.53788459e-095, 2.04805063e-097, 1.56419199e-099, 1.13062861e-101]), 'percent': 0.5, 'scale': [('330.661322645', ('37.55', '12/11', '-', '0.24')), ('299.599198397', ('-5.29', '1/1', '-', '5.29')), ('263.527054108', ('-61.01', '9/8', '-', '9.85')), ('370.741482966', ('87.24', '9/8*12/11', '-', '1.70')), ('407.815631263', ('128.63', '4/3', '+', '3.69')), ('396.793587174', ('116.73', '4/3', '-', '8.21'))], 'tonique': 303.2715419977348, 'xmax': 409.81226518664857, 'xmin': 227.35696843471283, 'xpeaks': array([ 263.52705411, 299.5991984 , 330.66132265, 370.74148297, 396.79358717, 407.81563126]), 'ypeaks': array([ 0.00498182, 0.02320572, 0.02432773, 0.00024235, 0.00013233, 0.00015282])}
import music22.scale # importation du module scalemusic22.scale.set_xrange(200,450)Kchants.pdf_show()
Kchants.matrix()
Comme on peut le voir également sur le graphe des PDF-s, les courbes bleu et rouge (Ta12 et Gh11) sont plus proches entre-elles que les courbes Ta13 et Gu16. L'éloignement le plus grand se trouve entre Ta12 et Gu16.
Kchants.melodies[0].name'Gh11'
Kchants.melodies[0].scale- [('330.661322645', ('37.55', '12/11', '-', '0.24')),
('299.599198397', ('-5.29', '1/1', '-', '5.29')), ('263.527054108', ('-61.01', '9/8', '-', '9.85')), ('370.741482966', ('87.24', '9/8*12/11', '-', '1.70')), ('407.815631263', ('128.63', '4/3', '+', '3.69')), ('396.793587174', ('116.73', '4/3', '-', '8.21'))]
Kchants.melodies[1].name'Gu16'
Kchants.melodies[1].scale- [('299.599198397', ('11.97', '1/1', '+', '11.97')),
('362.725450902', ('95.01', '5/4', '-', '1.90')), ('328.657314629', ('52.17', '9/8', '+', '1.02')), ('243.486973948', ('-78.09', '6/5', '-', '1.09')), ('422.845691383', ('161.61', '3/2', '-', '14.48'))]
Kchants.melodies[2].name'Ta12'
Kchants.melodies[2].scale- [('299.599198397', ('-46.97', '10/9', '-', '1.21')),
('325.651302605', ('-10.75', '1/1', '-', '10.75')), ('265.531062124', ('-99.39', '5/4', '-', '2.48')), ('368.73747495', ('43.21', '10/9', '-', '2.55')), ('227.45490982', ('-166.61', '3/2', '-', '9.48')), ('423.847695391', ('103.70', '5/4', '+', '6.79'))]
Kchants.melodies[3].name'Ta13'
Kchants.melodies[3].scale- [('349.699398798', ('67.73', '6/5', '-', '11.45')),
('299.599198397', ('0.58', '1/1', '+', '0.58')), ('326.653306613', ('38.13', '12/11', '+', '0.34')), ('281.563126253', ('-26.38', '12/11', '-', '11.40')), ('265.531062124', ('-51.85', '9/8', '-', '0.69')), ('383.76753507', ('108.11', '5/4', '+', '11.20')), ('396.793587174', ('122.60', '4/3', '-', '2.33'))]