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Nick Thieberger

dblp:205/8375 · DBLP profile ↗
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3ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0001-8797-1018ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Speech recognition and synthesis · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis
forced alignment
0.912025
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles · ACL (1) 2025
Audio and music processing
speech processing
0.912025
English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles · ACL (1) 2025

Methods — techniques the papers use, named apart from their topics

forced alignment · 1.7acoustic modeling · 1.7
YearPublicationVenuePosition
2025 English-based acoustic models perform well in the forced alignment of two English-based Pacific Creoles
abstract
Sam Passmore, Lila San Roque, Kirsty Gillespie, Saurabh Nath, Kira Davey, Keira Mullan, Tim Cawley, Jennifer Biggs, Rosey Billington, Bethwyn Evans, Nick Thieberger, Danielle Barth. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Sam Passmore, Lila San Roque, Kirsty Gillespie, Saurabh Nath, Kira Davey, Keira Mullan, Tim Cawley, Jennifer Biggs, Rosey Billington, Bethwyn Evans, Nick Thieberger, Danielle Barth
ACL (1)11
2021 The Pacific Expansion: Optimizing Phonetic Transcription of Archival Corpora
abstract
For most of the world’s languages, detailed phonetic analyses across different aspects of the sound system do not exist, due in part to limitations in available speech data and tools for efficiently processing such data for low-resource languages. Archival language documentation collections offer opportunities to extend the scope and scale of phonetic research on low-resource languages, and developments in methods for automatic recognition and alignment of speech facilitate the preparation of phonetic corpora based on these collections. We present a case study applying speech modelling and forced alignment methods to narrative data for Nafsan, an Oceanic language of central Vanuatu. We examine the accuracy of the forced-aligned phonetic labelling based on limited speech data used in the modelling process, and compare acoustic and durational measures of 17,851 vowel tokens for 11 speakers with previous experimental phonetic data for Nafsan. Results point to the suitability of archival data for large-scale studies of phonetic variation in low-resource languages, and also suggest that this approach can feasibly be used as a starting point in expanding to phonetic comparisons across closely-related Oceanic languages.
Rosey Billington, Hywel Stoakes, Nick Thieberger
Interspeech3
2019 Glossopticon: Visualising Archival Data
abstract
Glossopticon is a Virtual Reality (VR)-based information visualisation system that presents heritage audio recordings in the archival linguistic data of the Pacific and Regional Archive for Digital Sources in Endangered Cultures (PARADISEC) collection. This paper will outline the project, the way it has used VR to visualise information and how it has been used on multiple levels-from public exhibition piece, to research tool-and in doing so provides an exemplar of the notion of the collaborative, interdisciplinary project as a basic unit of scholarly investigation within the digital humanities.
Andrew Burrell, Rachel Hendery, Nick Thieberger
IV (2)3