Comments (3)
georgid
commented on June 2, 2024
concatenate in chrono order one after the other: first make sure they have same number of tiers
python ~/Downloads/TextGridTools-master/scripts/tgt-concatenate-textgrids.py -i 727cff89-392f-4d15-926d-63b2697d7f3f.TextGrid 727cff89-392f-4d15-926d-63b2697d7f3f_71.389446_82.591367.TextGrid -o 727cff89-392f-4d15-926d-63b2697d7f3f.TextGrid
script to shift first tier
python ~/Downloads/TextGridTools-master/scripts/tgt-shift-boundaries.py 20.867514 727cff89-392f-4d15-926d-63b2697d7f3f/727cff89-392f-4d15-926d-63b2697d7f3f_20.867514_31.168639.TextGrid
from alignmentduration.
georgid
commented on June 2, 2024
import os
import tgt
shiftTime = 20.867514
tiers_ = []
tgtURI = '/home/georgid/Documents/makam_acapella/727cff89-392f-4d15-926d-63b2697d7f3f/727cff89-392f-4d15-926d-63b2697d7f3f.TextGrid'
from tgt.util import shift_boundaries
tg = tgt.read_textgrid(tgtURI)
tier = tg.get_tier_by_name("phonemes")
##### this part does not work
# tierShifted = shift_boundaries(tier, shiftTime,0)
# a = tier.intervals
# for anno in a[:25]:
# anno.end_time += 11
# anno.start_time += 11
# tier.add_interval(anno)
####### makes sense only if tier consists of one section to repeat
tier2 = tgt.util.concatenate_tiers(tier, tier, shiftTime)
print tier2
tg.add_tier(tier2)
# tg.delete_tier(tier)
pathOut = '/home/georgid/Documents/makam_acapella/727cff89-392f-4d15-926d-63b2697d7f3f/727cff89-392f-4d15-926d-63b2697d7f3f.TextGrid'
# tgt.write_to_file(tg, pathOut)
from alignmentduration.
georgid
commented on June 2, 2024
added whole TextGrids in a new repository https://github.com/georgid/makam_acapella
from alignmentduration.
Related Issues (20)
- reducnant Lyric() constructor call HOT 1
- reduce dependecy on htkmfc HOT 1
- missing words from dictionary HOT 1
- Add Mandarin Char to mandarinSyllable class
- optimize code for expnasion to syllables
- Move this file to dir for_english
- Reduce code by refining LyricsWithModels
- have the same special token for silence in all phoneme sets. Now it is REST for Mandarin and '' for English HOT 1
- remove hard coded sampling rate HOT 1
- reduce code redundancy for computing timstamps
- refactor FeatureExtractor.loadMFCCs
- reduce essentia code for loading the audio HOT 1
- how to handle words not in dictionary
- reduce dependency on package for Levenshtein distance
- reduce dependency on sklearn by copying code for normalization
- Implement viterbi in c++ HOT 2
- reduce code not used HOT 1
- reduce dependency on essentia HOT 1
- handle non-unicode characters HOT 8
- How about the alignment effect of Jingju Mandarin? Is there a demo for testing?
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from alignmentduration.