forked from Agerrr/Automated_Music_Transcription
-
Notifications
You must be signed in to change notification settings - Fork 0
/
music_transcriber.py
41 lines (34 loc) · 1.37 KB
/
music_transcriber.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
import sys
from onset_frames_split import OnsetFrameSplitter
#from first_peaks_method import MIDI_Detector
from plotNotes import NotePlotter
#from highest_peak_method import Highest_Peaks_MIDI_Detector
class MusicTranscriber(object):
"""
The class responsible for transcibing music stored in a .wav file
to pdf sheet notes.
"""
def __init__(self, music_file):
self.music_file = music_file
self.onset_frames_dir = 'frames'
def transcribe(self):
"""
Splits the music file to be transcribed into onset frames,
detects the notes in each frame and plots them on the staff.
"""
splitter = OnsetFrameSplitter(self.music_file, self.onset_frames_dir)
print 'Created onset frame splitter object'
splitter.onset_frames_split()
print 'Splitted the file into frames'
note_plotter = NotePlotter(self.music_file)
print 'Created a note plotter object'
note_plotter.plot_multiple_notes(self.onset_frames_dir)
print 'Plotted multiple notes'
if __name__ == '__main__':
# Provide the name of the music file (in wav. format) to be transcribed.
music_file = sys.argv[1]
print 'Read in a music file'
transcriber = MusicTranscriber(music_file)
print 'Created a transcriber object'
transcriber.transcribe()
print 'Transcribed the music piece'