Related Issues (20)
- map sections for a recording to lyrics. Use Levenstein for example. WORKAROUND for 5-test files done in MakamRecording_loadSectionTimeStamps
- add symbTr2.0 support. in SymbTrParser.syllablesToWords read section boundaries from double ' ' and use .tsv file only to label them HOT 1
- restructure fileds in class. and put main method logic in file. DO THIS FIRST on Tuesday HOT 1
- rewrite doalignment in method aligner.
- make sure there are no phonemes in the same timestamp (e.g. sp)
- rewrite buildAdaptedModel in python. HOT 2
- add check if tier name is "phrases"
- evlaate sciprt to use word ids, not only total num words.
- a phrase with text " " (one interval) gives problems on evaluation. Check WordLevelEvaluator.evalPhraseLevelError
- visualisation of detected words in praat is not in utf-8 because .htkAligned file is not in utf-8 HOT 1
- merge Phonetizer from varnam-noSynth to master except for the teluguTable.
- merge Phonetizer from varnam-noSynth to master except for the teluguTable.
- add check that audio is 16-bit . or use essentias monoloader
- put grapheme2phoneme mapping in a file. Take table from phonetizer class. HOT 1
- merge noSynth into Synth branches.
- RecordingSegmenter.alignOneRecording() - take from this function the logic to eval. HOT 1
- remove unused imports
- use symbTr version 2 for duration information HOT 1
- integrate new Word, Syllable and so on entries
- REFACTOR: Combine metthods
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from lyrics2audioaligner.