def alignDependingOnWithDuration(URIrecordingNoExt, whichSection, pathToComposition, withDuration, withSynthesis, evalLevel, params, usePersistentFiles, htkParser):
'''
call alignment method depending on whether duration or htk selected
'''
Phonetizer.initLookupTable(withSynthesis)
tokenLevelAlignedSuffix, phonemesAlignedSuffix = determineSuffix(withDuration, withSynthesis, evalLevel)
if withDuration:
alignmentErrors, detectedWordList, grTruthDurationWordList = alignOneChunk(URIrecordingNoExt, pathToComposition, whichSection, htkParser, params, evalLevel, usePersistentFiles)
else:
URIrecordingAnno = URIrecordingNoExt + ANNOTATION_EXT
URIrecordingWav = URIrecordingNoExt + AUDIO_EXTENSION
# new makamScore used
lyricsObj = loadLyrics(pathToComposition, whichSection)
lyrics = lyricsObj.__str__()
# in case we are at no-lyrics section
if not lyrics or lyrics =='_SAZ_':
logger.warn("skipping section {} with no lyrics ...".format(whichSection))
return [], [], [], []
outputHTKPhoneAlignedURI = Aligner.alignOnechunk(MODEL_URI, URIrecordingWav, lyrics.__str__(), URIrecordingAnno, '/tmp/', withSynthesis)
alignmentErrors = evalAlignmentError(URIrecordingAnno, outputHTKPhoneAlignedURI, evalLevel)
detectedWordList = outputHTKPhoneAlignedURI
grTruthDurationWordList = []
# store decoding results in a file FIXME: if with duration it is not mlf
detectedAlignedfileName = []
detectedAlignedfileName = tokenList2TabFile(detectedWordList, URIrecordingNoExt, tokenLevelAlignedSuffix)
return alignmentErrors, detectedWordList, grTruthDurationWordList, detectedAlignedfileName
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 mlfResult2TextGrid(argv):
'''
open mlf in praat.
'''
if len(argv) != 3 :
print (" usage: {} <detectedHTK_URI> <whichLevel>".format(argv[0]) )
sys.exit();
detectedHTK_URI= argv[1]
whichEvalLevel = int(argv[2])
tokenAlignedSuffix, dummy = determineSuffixOld(withDuration=False, withSynthesis='dummy', evalLevel=whichEvalLevel)
# load result from file into python list
detectedTokenList = loadDetectedTokenListFromMlf( detectedHTK_URI, whichEvalLevel )
# write to tsv file. praat can open only tsv-s
baseNameAudioFile = os.path.splitext(detectedHTK_URI)[0]
tokenAlignedfileName = tokenList2TabFile(detectedTokenList, baseNameAudioFile, tokenAlignedSuffix)
tab2PraatAndOpenWithPRaat(['dummy', tokenAlignedfileName])
