OLAC Record oai:scholarspace.manoa.hawaii.edu:10125/24763

Metadata
Title:		Forced Alignment for Understudied Language Varieties: Testing Prosodylab-Aligner with Tongan Data
Bibliographic Citation:		Johnson, Lisa M., Di Paolo, Marianna, Bell, Adrian; 2018-03; Kaipuleohone University of Hawai'i Digital Language Archive;http://hdl.handle.net/10125/24763.
Creator:		Johnson, Lisa M.
		Di Paolo, Marianna
		Bell, Adrian
Date (W3CDTF):		2018-03
Description:		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. For the benefit of others who wish to use PL-A for research projects, this paper reports on our use of PL-A on Tongan field recordings, reviewing the software, outlining required steps, and providing tips. Since field recordings often contain more background noise than the laboratory recordings for which PL-A was designed, the paper also discusses the relative benefits of removing background noise for both training and alignment purposes. Finally, it compares acoustic measures based on various alignments and compares boundary placements with those of human aligners, demonstrating that automated alignment is both feasible and less time-consuming than manual alignment.
		National Foreign Language Resource Center
Format:		44 pages
Identifier:		Johnson, Lisa M., Marianna Di Paolo & Adrian Bell. 2018. Forced Alignment for Understudied Language Varieties: Testing Prosodylab-Aligner with Tongan Data. Language Documentation & Conservation 12. 80-123.
		1934-5275
Identifier (URI):		http://hdl.handle.net/10125/24763
Publisher:		University of Hawaii Press
Rights:		Creative Commons Attribution-NonCommercial 4.0 International
Subject:		automated alignment
		acoustic analysis
		Tongan
		understudied languages
Table Of Contents:		johnson_et_al.pdf
Type:		Article
Type (DCMI):		Text
OLAC Info
Archive:		Language Documentation and Conservation
Description:		http://www.language-archives.org/archive/ldc.scholarspace.manoa.hawaii.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:scholarspace.manoa.hawaii.edu:10125/24763
DateStamp:		2019-04-23
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Johnson, Lisa M.; Di Paolo, Marianna; Bell, Adrian. 2018. University of Hawaii Press.
Terms:		dcmi_Text