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    <abstract>Manual transcription of intonation by experts remains an essential part of research on the structure and meaning of intonation across languages, as well as for developing computational methods for automatic intonation transcription. We present ToneSwiper, a Python program with a graphical user interface that facilitates manual intonation transcription in the ToDI framework (Transcription of Dutch Intonation; Gussenhoven, 2005), with possible adaptation to similar (e.g., ToBI-like) frameworks for other languages. For the trained annotator, it enables efficient ToDI transcription of speech by integrating an audio-player, a spectrogram and pitch contour plot, auto-scroll, dynamic audio stretching, and an intuitive hotkey interface that maps key sequences to ToDI elements, e.g., pressing up-down for a high-to-low accent (H*L). In this way, transcription is conducted by ‘swiping‘ over the arrow keys on the keyboard. We present the program and its motivation, as well as a small-scale pilot study on annotation efficiency and inter-rater agreement, using a highly challenging sample of task-oriented dialogue from the Dutch Map Task Corpus (Ladd and Schepman, 2003).</abstract>
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%0 Conference Proceedings
%T ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody
%A Westera, Matthijs
%A Reitsema, Ariëlle
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F westera-reitsema-2026-toneswiper
%X Manual transcription of intonation by experts remains an essential part of research on the structure and meaning of intonation across languages, as well as for developing computational methods for automatic intonation transcription. We present ToneSwiper, a Python program with a graphical user interface that facilitates manual intonation transcription in the ToDI framework (Transcription of Dutch Intonation; Gussenhoven, 2005), with possible adaptation to similar (e.g., ToBI-like) frameworks for other languages. For the trained annotator, it enables efficient ToDI transcription of speech by integrating an audio-player, a spectrogram and pitch contour plot, auto-scroll, dynamic audio stretching, and an intuitive hotkey interface that maps key sequences to ToDI elements, e.g., pressing up-down for a high-to-low accent (H*L). In this way, transcription is conducted by ‘swiping‘ over the arrow keys on the keyboard. We present the program and its motivation, as well as a small-scale pilot study on annotation efficiency and inter-rater agreement, using a highly challenging sample of task-oriented dialogue from the Dutch Map Task Corpus (Ladd and Schepman, 2003).
%R 10.63317/5ctuktk6ffpi
%U https://aclanthology.org/2026.lrec-1.464/
%U https://doi.org/10.63317/5ctuktk6ffpi
%P 5856-5863

Markdown (Informal)

[ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody](https://aclanthology.org/2026.lrec-1.464/) (Westera & Reitsema, LREC 2026)

• ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody (Westera & Reitsema, LREC 2026)

ACL

• Matthijs Westera and Ariëlle Reitsema. 2026. ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 5856–5863, Palma de Mallorca, Spain. ELRA Language Resource Association.