mlsanityData to 7 Oct 2026

Fotheidil: an Automatic Transcription System for the Irish Language

arXiv 2501.00509 ↗First posted 31 Dec 2024cs.CL cs.SD eess.AScited by 1

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Abstract (arXiv)

This paper sets out the first web-based transcription system for the Irish language - Fotheidil, a system that utilises speech-related AI technologies as part of the ABAIR initiative. The system includes both off-the-shelf pre-trained voice activity detection and speaker diarisation models and models trained specifically for Irish automatic speech recognition and capitalisation and punctuation restoration. Semi-supervised learning is explored to improve the acoustic model of a modular TDNN-HMM ASR system, yielding substantial improvements for out-of-domain test sets and dialects that are underrepresented in the supervised training set. A novel approach to capitalisation and punctuation restoration involving sequence-to-sequence models is compared with the conventional approach using a classification model. Experimental results show here also substantial improvements in performance. The system will be made freely available for public use, and represents an important resource to researchers and others who transcribe Irish language materials. Human-corrected transcriptions will be collected and included in the training dataset as the system is used, which should lead to incremental improvements to the ASR model in a cyclical, community-driven fashion.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 16 of its 35 references that are in the map. First posted on arXiv 31 Dec 2024.

Builds on

16 of 35 references.

References · 16

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4 more
  1. 2023Towards dialect-inclusive recognition in a low-resource language: are balanced corpora the answer?cited by 5
  2. 2024Semi-supervised Learning for Code-Switching ASR with Large Language Model Filtercited by 4
  3. 2024Low-resource speech recognition and dialect identification of Irish in a multi-task frameworkcited by 3
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