@inproceedings{richter-etal-2025-assessed,
title = "Assessed and Annotated Vowel Lengths in Spoken {Icelandic} Sentences for {L1} and {L2} Speakers: {A} Resource for Pronunciation Training",
author = "Richter, Caitlin Laura and
Fri{\dh}riksd{\'o}ttir, Kolbr{\'u}n and
Bergsson, Korm{\'a}kur Logi and
Maher, Erik Anders and
Benediktsd{\'o}ttir, Ragnhei{\dh}ur Mar{\'i}a and
Gudnason, Jon",
editor = "Johansson, Richard and
Stymne, Sara",
booktitle = "Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)",
month = mar,
year = "2025",
address = "Tallinn, Estonia",
publisher = "University of Tartu Library",
url = "https://aclanthology.org/2025.nodalida-1.56/",
pages = "518--524",
ISBN = "978-9908-53-109-0",
abstract = "We introduce a dataset of time-aligned phonetic transcriptions focusing on vowel length (quantity) in Icelandic. Ultimately, this aims to support computer assisted pronunciation training (CAPT) software, to automatically assess length and possible errors in Icelandic learners' pronunciations. The dataset contains a range of long and short vowel targets, including the first acoustic description of quantity in non-native Icelandic. Evaluations assess how manual annotations and automatic forced alignment characterise quantity contrasts. Initial analyses also imply partial acquisition of phonologically conditioned quantity alternations by non-native speakers."
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<abstract>We introduce a dataset of time-aligned phonetic transcriptions focusing on vowel length (quantity) in Icelandic. Ultimately, this aims to support computer assisted pronunciation training (CAPT) software, to automatically assess length and possible errors in Icelandic learners’ pronunciations. The dataset contains a range of long and short vowel targets, including the first acoustic description of quantity in non-native Icelandic. Evaluations assess how manual annotations and automatic forced alignment characterise quantity contrasts. Initial analyses also imply partial acquisition of phonologically conditioned quantity alternations by non-native speakers.</abstract>
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%0 Conference Proceedings
%T Assessed and Annotated Vowel Lengths in Spoken Icelandic Sentences for L1 and L2 Speakers: A Resource for Pronunciation Training
%A Richter, Caitlin Laura
%A Fri\dhriksdóttir, Kolbrún
%A Bergsson, Kormákur Logi
%A Maher, Erik Anders
%A Benediktsdóttir, Ragnhei\dhur María
%A Gudnason, Jon
%Y Johansson, Richard
%Y Stymne, Sara
%S Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
%D 2025
%8 March
%I University of Tartu Library
%C Tallinn, Estonia
%@ 978-9908-53-109-0
%F richter-etal-2025-assessed
%X We introduce a dataset of time-aligned phonetic transcriptions focusing on vowel length (quantity) in Icelandic. Ultimately, this aims to support computer assisted pronunciation training (CAPT) software, to automatically assess length and possible errors in Icelandic learners’ pronunciations. The dataset contains a range of long and short vowel targets, including the first acoustic description of quantity in non-native Icelandic. Evaluations assess how manual annotations and automatic forced alignment characterise quantity contrasts. Initial analyses also imply partial acquisition of phonologically conditioned quantity alternations by non-native speakers.
%U https://aclanthology.org/2025.nodalida-1.56/
%P 518-524
Markdown (Informal)
[Assessed and Annotated Vowel Lengths in Spoken Icelandic Sentences for L1 and L2 Speakers: A Resource for Pronunciation Training](https://aclanthology.org/2025.nodalida-1.56/) (Richter et al., NoDaLiDa 2025)
ACL