Paper Citation Record · LEDGER

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.04915.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.04915 v1

Coverage vector

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 118bb24a-1e83-42ff-80f9-5546b02d3226 · outbound

This paper cites A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic

Reference 1

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This paper cites Hybrid models [25] can effectively combine acoustic models trained on transcribed data with language mod- els trained on all available text.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Hybrid models [25] can effectively combine acoustic models trained on transcribed data with language mod- els trained on all available text

Reference 2

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This paper cites CLTW train.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic CLTW train

Reference 3

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This paper cites Whisper Fine-Tuning We fine-tuned Whisper [1] with the HuggingFace Transformers library [3] as a baseline approach for training Gaelic ASR.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Whisper Fine-Tuning We fine-tuned Whisper [1] with the HuggingFace Transformers library [3] as a baseline approach for training Gaelic ASR

Reference 4

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This paper cites The Tar-sgr`ıobhadair API achieved an average WER of 28.0%.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic The Tar-sgr`ıobhadair API achieved an average WER of 28.0%

Reference 5

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This paper cites Our model outperformed the previous best model deployed in the Tar-sgr`ıobhadair API by 54%.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Our model outperformed the previous best model deployed in the Tar-sgr`ıobhadair API by 54%

Reference 6

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This paper cites We thank BBC Alba for providing the data and Cailean Gordan, Al- ison Diack and Fearchar MacIllFhinnein for transcribing train- ing and testing data.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic We thank BBC Alba for providing the data and Cailean Gordan, Al- ison Diack and Fearchar MacIllFhinnein for transcribing train- ing and testing data

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This paper cites Robust speech recognition via large-scale weak su- pervision,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Robust speech recognition via large-scale weak su- pervision,

Reference 8

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This paper cites Scaling speech technology to 1,000+ languages,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Scaling speech technology to 1,000+ languages,

Reference 9

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This paper cites Transformers: State-of-the-art natural language processing,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Transformers: State-of-the-art natural language processing,

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This paper cites Semi-Orthogonal Low-Rank Matrix Factor- ization for Deep Neural Networks,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Semi-Orthogonal Low-Rank Matrix Factor- ization for Deep Neural Networks,

Reference 11

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This paper cites Principled comparisons for end-to-end speech recognition: Attention vs hybrid at the 1000- hour scale,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Principled comparisons for end-to-end speech recognition: Attention vs hybrid at the 1000- hour scale,

Reference 12

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This paper cites Madlad-400: A multilin- gual and document-level large audited dataset,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Madlad-400: A multilin- gual and document-level large audited dataset,

Reference 13

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This paper cites The fineweb datasets: Decanting the web for the finest text data at scale,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic The fineweb datasets: Decanting the web for the finest text data at scale,

Reference 14

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This paper cites Recurrent neural network based language model.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Recurrent neural network based language model

Reference 15

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This paper cites Attention is all you need,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Attention is all you need,

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This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale,

Reference 17

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Towards robust speech representation learning for thousands of languages,

Reference 18

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This paper cites The language-independent bottleneck features,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic The language-independent bottleneck features,

Reference 19

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This paper cites CTRL: Continual Representation Learning to Transfer In- formation of Pre-trained for W A V2VEC 2.0,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic CTRL: Continual Representation Learning to Transfer In- formation of Pre-trained for W A V2VEC 2.0,

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Lightly supervised and unsupervised acoustic model training,

Reference 21

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Semi- supervised training of acoustic models using lattice-free MMI,

Reference 22

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic On the learning dynamics of semi-supervised training for ASR,

Reference 23

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Self-training and pre- training are complementary for speech recognition,

Reference 24

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Compar- ing self-supervised pre-training and semi-supervised training for speech recognition in languages with weak language models,

Reference 25

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Improved noisy student training for automatic speech recognition,

Reference 26

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Cross-lingual Knowledge Transfer and Iterative Pseudo-labeling for Low-Resource Speech Recognition with Transducers

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This paper cites Neural machine transla- tion of rare words with subword units,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Neural machine transla- tion of rare words with subword units,

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Scotland’s census 2022,

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This paper cites Grapheme and multilin- gual posterior features for under-resourced speech recognition: a study on Scottish Gaelic,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Grapheme and multilin- gual posterior features for under-resourced speech recognition: a study on Scottish Gaelic,

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Developing auto- matic speech recognition for Scottish Gaelic,

Reference 31

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Unresolved cited work

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This paper cites Advances in subword- based HMM-DNN speech recognition across languages,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Advances in subword- based HMM-DNN speech recognition across languages,

Reference 33

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This paper cites Active and semi- supervised learning in ASR: Benefits on the acoustic and language models,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Active and semi- supervised learning in ASR: Benefits on the acoustic and language models,

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This paper cites The MGB challenge: Evalu- ating multi-genre broadcast media recognition,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic The MGB challenge: Evalu- ating multi-genre broadcast media recognition,

Reference 35

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic LoRA: Low-Rank Adaptation of Large Language Models,

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This paper cites Purely sequence-trained neu- ral networks for ASR based on lattice-free MMI,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Purely sequence-trained neu- ral networks for ASR based on lattice-free MMI,

Reference 37

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic SRILM - an extensible language modeling toolkit

Reference 38

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic fairseq: A fast, extensible toolkit for sequence modeling,

Reference 39

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This paper cites From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic From senones to chenones: Tied context-dependent graphemes for hybrid speech recognition,

Reference 40

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This paper cites Faster, simpler and more accurate hybrid ASR systems using wordpieces,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Faster, simpler and more accurate hybrid ASR systems using wordpieces,

Reference 41

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This paper cites A study on data augmentation of reverberant speech for robust speech recognition,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic A study on data augmentation of reverberant speech for robust speech recognition,

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A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Unsupervised language model adap- tation,

Reference 43

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This paper cites Less is More: Accu- rate Speech Recognition & Translation without Web-Scale Data,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Less is More: Accu- rate Speech Recognition & Translation without Web-Scale Data,

Reference 44

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This paper cites Latxa: An open lan- guage model and evaluation suite for Basque,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Latxa: An open lan- guage model and evaluation suite for Basque,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:20.667447Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2c66365-e9e1-418b-b5c3-c28fc4c49afa · outbound

This paper cites Hyporadise: An open baseline for generative speech recognition with large language models,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Hyporadise: An open baseline for generative speech recognition with large language models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:20.652752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79ac6f79-f74f-4d2e-b25a-cb47e10e21ba · outbound

This paper cites LLaMA-omni: Seamless speech interaction with large language models,.

A Practitioner's Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic LLaMA-omni: Seamless speech interaction with large language models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:20.638100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 118bb24a-1e83-42ff-80f9-5546b02d3226 · inbound