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  • 标题:Forced Alignment for Understudied Language Varieties: Testing Prosodylab-Aligner with Tongan Data
  • 本地全文:下载
  • 作者:Lisa M. Johnson ; Marianna Di Paolo ; Adrian Bell
  • 期刊名称:Language Documentation Conservation
  • 印刷版ISSN:1934-5275
  • 出版年度:2018
  • 卷号:12
  • 页码:80-123
  • 出版社:University of Hawai‘i Press
  • 摘要:

    Automated alignment of transcriptions to audio files expedites the process of preparing data for acoustic analysis. Unfortunately, the benefits of auto-alignment have generally been available only to researchers studying majority languages, for which large corpora exist and for which acoustic models have been created by large-scale research projects. Prosodylab-Aligner (PL-A), from McGill University, facilitates automated alignment and segmentation for understudied languages. It allows researchers to train acoustic models using the same audio files for which alignments will be created. Those models can then be used to create time-aligned Praat TextGrids with word and phone boundaries marked.

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