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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2022
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: ZENODO
ZENODO
Dataset . 2023
Data sources: Datacite
ZENODO
Dataset . 2023
Data sources: Datacite
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LJ Speech - Aligned IPA transcriptions

Authors: Taubert, Stefan;

LJ Speech - Aligned IPA transcriptions

Abstract

Files: grids.zip contains TextGrids for all audio files containing three tiers words, phonemes and transcription words contains the aligned normalized English words phonemes contains IPA pronunciations transcribed using CMU dictionary which then were aligned with Montreal Forced Aligner. The pronunciations were then mapped from ARPAbet to IPA and duration marks were applied (without punctuation) transcription contains unaligned phonemes including punctuation and word boundary labels (SIL0) preview.png preview of the first TextGrid opened in Praat words-vocabulary.txt contains all words from tier words phonemes-vocabulary.txt contains all phonemes from tier phonemes transcription-vocabulary.txt contains all phonemes/punctuation from tier transcription phonemes-durations.pdf contains the plotted phoneme duration distribution of tier phonemes phonemes-durations-simple.pdf contains the plotted phoneme duration distribution of tier phonemes if all duration markers are ignored pronunciations.dict contains the pronunciations for each word including punctuation and weights (occurrence) script.sh contains the script to reproduce all results Phoneme duration marker: ˘ -> [0, 20) percentile ˑ -> [80, 90) percentile ː -> [90, inf) percentile Silence marker: SIL0 -> no silence SIL1 -> [0, 33.33) percentile SIL2 -> [33.33, 66.66) percentile SIL3 -> [66.66, inf) percentile

{"references": ["McAuliffe, M., Socolof, M., Mihuc, S., Wagner, M., & Sonderegger, M. (2017). Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi. Interspeech 2017, 498\u2013502. https://doi.org/10.21437/Interspeech.2017-1386"]}

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 416228727 – CRC 1410

Related Organizations
Keywords

Text-to-speech, LJS, ARPA, MFA, TTS, TextGrid

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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