Recursive forced alignment: A test on a minority language

Simon Gonzalez; Catherine Travis; James Grama; Danielle Barth; Sunkulp Ananthanarayan

Recursive forced alignment: A test on a minority language

Simon Gonzalez, Catherine Travis, James Grama, Danielle Barth, Sunkulp Ananthanarayan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We compare recursive and linear approaches to force-aligned data from Matukar Panau, an endangered language of Papua New Guinea. Data were force aligned with the train/align procedure in the Montreal Forced Aligner. Using manual alignments produced by a trained phonetician as a benchmark, the recursive approach was found to outperform the linear approach. The recursive approach produced alignments that overlapped more with those made by human coders, and resulted in fewer fluctuations in both Overlap Rate and Error Rate. We conclude that a recursive approach enhances the quality of automated alignment of languages lacking a pre-existing acoustic model.

Original language	English
Title of host publication	Proceedings of the 17th Australasian International Conference on Speech Science and Technology
Editors	J Epps, J Wolfe, J Smith & C Jones
Place of Publication	Australia
Publisher	The Australasian Speech Science and Technology Association, Inc.
Pages	145-148
Edition	Peer reviewed
ISBN (Print)	2207-1296
Publication status	Published - 2018
Event	17th Australasian International Conference on Speech Science and Technology - Sydney, Australia, Australia Duration: 1 Jan 2018 → …

Conference

Conference	17th Australasian International Conference on Speech Science and Technology
Country/Territory	Australia
Period	1/01/18 → …
Other	December 4-7 2018

Cite this

Gonzalez, Simon ; Travis, Catherine ; Grama, James et al. / Recursive forced alignment: A test on a minority language. Proceedings of the 17th Australasian International Conference on Speech Science and Technology. editor / J Epps, J Wolfe, J Smith & C Jones. Peer reviewed. ed. Australia : The Australasian Speech Science and Technology Association, Inc., 2018. pp. 145-148

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title = "Recursive forced alignment: A test on a minority language",

abstract = "We compare recursive and linear approaches to force-aligned data from Matukar Panau, an endangered language of Papua New Guinea. Data were force aligned with the train/align procedure in the Montreal Forced Aligner. Using manual alignments produced by a trained phonetician as a benchmark, the recursive approach was found to outperform the linear approach. The recursive approach produced alignments that overlapped more with those made by human coders, and resulted in fewer fluctuations in both Overlap Rate and Error Rate. We conclude that a recursive approach enhances the quality of automated alignment of languages lacking a pre-existing acoustic model.",

author = "Simon Gonzalez and Catherine Travis and James Grama and Danielle Barth and Sunkulp Ananthanarayan",

year = "2018",

language = "English",

isbn = "2207-1296",

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editor = "{J Epps, J Wolfe, J Smith & C Jones}",

booktitle = "Proceedings of the 17th Australasian International Conference on Speech Science and Technology",

publisher = "The Australasian Speech Science and Technology Association, Inc.",

edition = "Peer reviewed",

note = "17th Australasian International Conference on Speech Science and Technology ; Conference date: 01-01-2018",

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Gonzalez, S, Travis, C, Grama, J, Barth, D & Ananthanarayan, S 2018, Recursive forced alignment: A test on a minority language. in JEJWJSCJ (ed.), Proceedings of the 17th Australasian International Conference on Speech Science and Technology. Peer reviewed edn, The Australasian Speech Science and Technology Association, Inc., Australia, pp. 145-148, 17th Australasian International Conference on Speech Science and Technology, Australia, 1/01/18.

Recursive forced alignment: A test on a minority language. / Gonzalez, Simon; Travis, Catherine; Grama, James et al.
Proceedings of the 17th Australasian International Conference on Speech Science and Technology. ed. / J Epps, J Wolfe, J Smith & C Jones. Peer reviewed. ed. Australia: The Australasian Speech Science and Technology Association, Inc., 2018. p. 145-148.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Ananthanarayan, Sunkulp

PY - 2018

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N2 - We compare recursive and linear approaches to force-aligned data from Matukar Panau, an endangered language of Papua New Guinea. Data were force aligned with the train/align procedure in the Montreal Forced Aligner. Using manual alignments produced by a trained phonetician as a benchmark, the recursive approach was found to outperform the linear approach. The recursive approach produced alignments that overlapped more with those made by human coders, and resulted in fewer fluctuations in both Overlap Rate and Error Rate. We conclude that a recursive approach enhances the quality of automated alignment of languages lacking a pre-existing acoustic model.

AB - We compare recursive and linear approaches to force-aligned data from Matukar Panau, an endangered language of Papua New Guinea. Data were force aligned with the train/align procedure in the Montreal Forced Aligner. Using manual alignments produced by a trained phonetician as a benchmark, the recursive approach was found to outperform the linear approach. The recursive approach produced alignments that overlapped more with those made by human coders, and resulted in fewer fluctuations in both Overlap Rate and Error Rate. We conclude that a recursive approach enhances the quality of automated alignment of languages lacking a pre-existing acoustic model.

M3 - Conference contribution

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BT - Proceedings of the 17th Australasian International Conference on Speech Science and Technology

A2 - null, J Epps, J Wolfe, J Smith & C Jones

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CY - Australia

T2 - 17th Australasian International Conference on Speech Science and Technology

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ER -

Recursive forced alignment: A test on a minority language

Abstract

Conference

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