def runWithParameters(argv):
if len(argv) != 6:
print ("Tool to get alignment accuracy of of one jingju aria with different parameters ")
print ("usage: {} <pathToRecordings> <withScores> <deviation_INSeconds> <recordingName_noExtension> <withVocalPrediciton> ".format(argv[0]) )
sys.exit()
rootURI = argv[1]
# rootURI = '/Users/joro/Documents/Phd/UPF/arias/'
# URIrecordingNoExt = rootURI + 'laosheng-erhuang_04'
# URIrecordingNoExt = rootURI + 'laosheng-xipi_02'
# URIrecordingNoExt = rootURI + 'dan-xipi_01'
# URIrecordingNoExt = rootURI + 'dan-xipi_02'
URIrecordingNoExt = rootURI + argv[4]
lyricsTextGrid = URIrecordingNoExt + '.TextGrid'
# load total # different sentences + their rspective ts
# fromTss, toTss = loadSectionTimeStamps(sectionAnnoURI)
listSentences = divideIntoSentencesFromAnno(lyricsTextGrid) #uses TextGrid annotation to derive structure. TODO: instead of annotation, uses score
withScores = int(argv[2])
ParametersAlgo.DEVIATION_IN_SEC = float(argv[3])
musicXMLParser = None
if withScores:
musicXmlURI = URIrecordingNoExt + '_score.xml'
musicXMLParser = MusicXMLParser(musicXmlURI, lyricsTextGrid)
correctDuration = 0
totalDuration = 0
accuracyList = []
withVocalPrediction = int(argv[5])
# for whichSentence, currSentence in reversed(list(enumerate(listSentences))):
for whichSentence, currSentence in enumerate(listSentences):
currCorrectDuration, currTotalDuration = doitOneChunkAlign(URIrecordingNoExt, musicXMLParser, whichSentence, currSentence, withScores, withVocalPrediction)
currAcc = currCorrectDuration / currTotalDuration
accuracyList.append(currAcc)
print "sentence {}: acc ={:.2f}".format(whichSentence, currAcc)
correctDuration += currCorrectDuration
totalDuration += currTotalDuration
##### TRICK: take only first three sentences:
# if whichSentence == 2:
# break
print "final: {:.2f}".format(correctDuration / totalDuration * 100)
import matplotlib.pyplot as plt
plt.plot(accuracyList, 'ro')
plt.show()
def doitOneChunkTest():
'''
meant to be run for withScores = 0
'''
URIrecordingNoExt = os.path.abspath('dan-xipi_01')
URIrecordingNoExt = '/Users/joro/Documents/Phd/UPF/arias_dev_01_t_70/dan-xipi_02'
lyricsTextGrid = URIrecordingNoExt + '.TextGrid'
whichSentence = 0
listSentences = divideIntoSentencesFromAnno(lyricsTextGrid) #uses TextGrid annotation to derive structure. TODO: instead of annotation, uses score
musicXMLParser = 'dummy'
sentence = listSentences[whichSentence]
# meant to be run for withScores = 0
withScores = 0
withVocalPrediction = 0
currCorrectDuration, currTotalDuration = doitOneChunkAlign(URIrecordingNoExt, musicXMLParser, whichSentence, sentence, withScores, withVocalPrediction)
currAcc = currCorrectDuration / currTotalDuration
print "sentence {}: acc ={:.2f}".format(whichSentence, currAcc)
def runWithParameters(argv):
if len(argv) != 6:
print(
"Tool to get alignment accuracy of jingu with different parameters. Sort all results according to tempo"
)
print(
"usage: {} <pathToRecordings> <withScores> <deviationINSec> <whichTempo> <withVocalPrediction>"
.format(argv[0]))
sys.exit()
rootURI = argv[1]
# rootURI = '/Users/joro/Documents/Phd/UPF/arias/'
listRecordingURIs = [
rootURI + 'laosheng-erhuang_04', rootURI + 'laosheng-xipi_02',
rootURI + 'dan-xipi_01'
]
withScores = int(argv[2])
ParametersAlgo.DEVIATION_IN_SEC = float(argv[3])
tempo = argv[4]
withVocalPrediction = int(argv[5])
# hard-code tempo sections for 3 arias
tempiDict = {}
tempiDict["slow"] = [(14, 202), (163, 173), ()]
tempiDict["mid"] = [(212, 420), (29, 112), (11, 72)]
tempiDict["fast"] = [(), (124, 161), (80, 423)]
correctDuration = 0
totalDuration = 0
for i, URIrecordingNoExt in enumerate(listRecordingURIs):
lyricsTextGrid = URIrecordingNoExt + '.TextGrid'
tempoIndices = tempiDict[tempo][i] # tempoIndices for the recording
if len(tempoIndices) == 0:
continue
# load ts for different sentences
# fromTss, toTss = loadSectionTimeStamps(sectionAnnoURI)
listSentences = divideIntoSentencesFromAnnoWithSil_andCreateLyrics(
lyricsTextGrid)
musicXMLParser = None
if withScores:
musicXmlURI = URIrecordingNoExt + '_score.xml'
musicXMLParser = MusicXMLParser(musicXmlURI, lyricsTextGrid)
for whichSentence, currSentence in enumerate(listSentences):
currToSyllable = currSentence[3]
print "currToSyllable {}".format(currToSyllable)
if currToSyllable < tempoIndices[
0] - 1 or currToSyllable > tempoIndices[1] - 1:
continue
currCorrectDuration, currTotalDuration = doitOneChunkAlign(
URIrecordingNoExt, lyricsTextGrid, musicXMLParser,
whichSentence, currSentence, withScores, withVocalPrediction)
currAcc = currCorrectDuration / currTotalDuration
print "sentence {}: acc ={:.2f}".format(whichSentence, currAcc)
correctDuration += currCorrectDuration
totalDuration += currTotalDuration
print "final: {:.2f}".format(correctDuration / totalDuration * 100)
