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 test_oracle_jingju(URIrecordingNoExt, whichSentence, fromPhonemeIdx, toPhonemeIdx):
'''
read phoneme-level ground truth and test with dan-xipi_02
'''
ANNOTATION_EXT = '.TextGrid'
listSentences = divideIntoSentencesFromAnno(URIrecordingNoExt + ANNOTATION_EXT) #uses TextGrid annotation to derive structure. TODO: instead of annotation, uses score
withSynthesis = False
currSentence = listSentences[whichSentence]
# consider only part of audio
fromTs = currSentence[0]
toTs = currSentence[1]
lyrics = loadLyricsFromTextGridSentence(currSentence)
tokenLevelAlignedSuffix = '.syllables_oracle'
detectedAlignedfileName = URIrecordingNoExt + '_' + str(fromTs) + '_' + str(toTs) + '_' + tokenLevelAlignedSuffix
if os.path.isfile(detectedAlignedfileName):
print "{} already exists. No decoding".format(detectedAlignedfileName)
from Utilz import readListOfListTextFile
detectedTokenList = readListOfListTextFile(detectedAlignedfileName)
else:
detectedTokenList = decodeWithOracle(lyrics, URIrecordingNoExt, fromTs, toTs, fromPhonemeIdx, toPhonemeIdx)
if not os.path.isfile(detectedAlignedfileName):
from PraatVisualiser import tokenList2TabFile
detectedAlignedfileName = tokenList2TabFile(detectedTokenList, URIrecordingNoExt, tokenLevelAlignedSuffix)
# eval on phrase level
evalLevel = 2
fromSyllable = currSentence[2]
toSyllable = currSentence[3]
correctDuration, totalDuration = _evalAccuracy(URIrecordingNoExt + ANNOTATION_EXT, detectedTokenList, evalLevel, fromSyllable, toSyllable )
print "accuracy= {}".format(correctDuration / totalDuration)
return detectedTokenList
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 readPinYinTest():
URIrecordingNoExt = '/Users/joro/Documents/Phd/UPF/ariasAnnotated/2-16_伴奏：听兄言不由我花容惊变.TextGrid'
allSentences = divideIntoSentencesFromAnno(URIrecordingNoExt)
print allSentences
