def matchingNotes(
self,
scoreStream,
transcribedScore,
notePrediction,
lastNotePosition,
):
from music21 import audioSearch
# Analyzing streams
tn_recording = int(len(transcribedScore.flat.notesAndRests))
totScores = []
beginningData = []
lengthData = []
END_OF_SCORE = False
# take 10% more of samples
tn_window = int(math.ceil(tn_recording * 1.1))
hop = int(math.ceil(tn_window / 4))
if hop == 0:
iterations = 1
else:
iterations = int((math.floor(len(scoreStream) / hop)) -
math.ceil(tn_window / hop))
for i in range(iterations):
scNotes = scoreStream[i * hop + 1:i * hop + tn_recording + 1]
name = '%d' % i
beginningData.append(i * hop + 1)
lengthData.append(tn_recording)
scNotes.id = name
totScores.append(scNotes)
listOfParts = search.approximateNoteSearchWeighted(
transcribedScore.flat.notesAndRests.stream(), totScores)
#decision process
if notePrediction > len(scoreStream) - tn_recording - hop - 1:
notePrediction = len(scoreStream) - tn_recording - hop - 1
END_OF_SCORE = True
environLocal.printDebug('LAST PART OF THE SCORE')
#lastCountdown = self.countdown
position, self.countdown = audioSearch.decisionProcess(
listOfParts,
notePrediction,
beginningData,
lastNotePosition,
self.countdown,
self.firstNotePage,
self.lastNotePage,
)
totalLength = 0
number = int(listOfParts[position].id)
if self.silencePeriod is True and self.silencePeriodCounter < 5:
# print(lastCountdown, self.countdown, lastNotePosition,
# beginningData[number], lengthData[number])
environLocal.printDebug('All rest period')
self.countdown -= 1
if self.countdown != 0:
probabilityHit = 0
else:
probabilityHit = listOfParts[position].matchProbability
unused_listOfParts2 = search.approximateNoteSearch(
transcribedScore.flat.notesAndRests.stream(), totScores)
unused_listOfParts3 = search.approximateNoteSearchNoRhythm(
transcribedScore.flat.notesAndRests.stream(), totScores)
unused_listOfParts4 = search.approximateNoteSearchOnlyRhythm(
transcribedScore.flat.notesAndRests.stream(), totScores)
# print('PROBABILITIES:',)
# print('pitches and durations weighted (current)', listOfParts[position].matchProbability,)
# print('pitches and durations without weighting' , listOfParts2[position].matchProbability,)
# print('pitches', listOfParts3[position].matchProbability,)
# print('durations', listOfParts4[position].matchProbability)
for i in range(len(totScores[number])):
totalLength = totalLength + totScores[number][i].quarterLength
if self.countdown == 0 and self.silencePeriodCounter == 0:
lastNotePosition = beginningData[number] + lengthData[number]
return totalLength, lastNotePosition, probabilityHit, END_OF_SCORE
def matchingNotes(
self,
scoreStream,
transcribedScore,
notePrediction,
lastNotePosition,
):
from music21 import audioSearch
# Analyzing streams
tn_recording = int(len(transcribedScore.flat.notesAndRests))
totScores = []
beginningData = []
lengthData = []
END_OF_SCORE = False
# take 10% more of samples
tn_window = int(math.ceil(tn_recording * 1.1))
hop = int(math.ceil(tn_window / 4))
if hop == 0:
iterations = 1
else:
iterations = int((math.floor(len(scoreStream) / hop)) -
math.ceil(tn_window / hop))
for i in range(iterations):
scNotes = scoreStream[i * hop + 1:i * hop + tn_recording + 1]
name = "%d" % i
beginningData.append(i * hop + 1)
lengthData.append(tn_recording)
scNotes.id = name
totScores.append(scNotes)
listOfParts = search.approximateNoteSearchWeighted(
transcribedScore.flat.notesAndRests.stream(), totScores)
#decision process
if notePrediction > len(scoreStream) - tn_recording - hop - 1:
notePrediction = len(scoreStream) - tn_recording - hop - 1
END_OF_SCORE = True
environLocal.printDebug("LAST PART OF THE SCORE")
#lastCountdown = self.countdown
position, self.countdown = audioSearch.decisionProcess(
listOfParts,
notePrediction,
beginningData,
lastNotePosition,
self.countdown,
self.firstNotePage,
self.lastNotePage,
)
totalLength = 0
number = int(listOfParts[position].id)
if self.silencePeriod is True and self.silencePeriodCounter < 5:
# print(lastCountdown, self.countdown, lastNotePosition,
# beginningData[number], lengthData[number])
environLocal.printDebug("All rest period")
self.countdown -= 1
if self.countdown != 0:
probabilityHit = 0
else:
probabilityHit = listOfParts[position].matchProbability
unused_listOfParts2 = search.approximateNoteSearch(
transcribedScore.flat.notesAndRests.stream(), totScores)
unused_listOfParts3 = search.approximateNoteSearchNoRhythm(
transcribedScore.flat.notesAndRests.stream(), totScores)
unused_listOfParts4 = search.approximateNoteSearchOnlyRhythm(
transcribedScore.flat.notesAndRests.stream(), totScores)
# print "PROBABILITIES:",
# print "pitches and durations weighted (current)",listOfParts[position].matchProbability,
# print "pitches and durations without weighting" , listOfParts2[position].matchProbability,
# print "pitches", listOfParts3[position].matchProbability,
# print "durations",listOfParts4[position].matchProbability
for i in range(len(totScores[number])):
totalLength = totalLength + totScores[number][i].quarterLength
if self.countdown == 0 and self.silencePeriodCounter == 0:
lastNotePosition = beginningData[number] + lengthData[number]
return totalLength, lastNotePosition, probabilityHit, END_OF_SCORE
