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Paper Citation Record · LEDGER

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.00981.

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

pith.paper-citation-record.v1
2506.00981 v2

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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

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This paper cites an unresolved cited work.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Unresolved cited work

Reference 1

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Unresolved cited work

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This paper cites What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training

Reference 3

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This paper cites We use a sep- arate subset of MLS audiobook segments (held-out from w2v2- nl training data), as well as the IFADV corpus [23] of face- to-face conversational speech.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training We use a sep- arate subset of MLS audiobook segments (held-out from w2v2- nl training data), as well as the IFADV corpus [23] of face- to-face conversational speech

Reference 4

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Unresolved cited work

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This paper cites Each SSL model is fine-tuned on Dutch read-aloud speech from the CGN (component o), using 78 hours of training data while reserving 10 hours each for de- velopment and testing.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Each SSL model is fine-tuned on Dutch read-aloud speech from the CGN (component o), using 78 hours of training data while reserving 10 hours each for de- velopment and testing

Reference 6

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Unresolved cited work

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This paper cites This work used the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training This work used the Dutch national e-infrastructure with the support of the SURF Cooperative using grant no

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This paper cites Phonemic competition in end-to-end ASR models,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Phonemic competition in end-to-end ASR models,

Reference 9

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This paper cites The Processing of Stress in End-to-End Automatic Speech Recognition Models,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training The Processing of Stress in End-to-End Automatic Speech Recognition Models,

Reference 10

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This paper cites Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0,

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training What Do Self- Supervised Speech Models Know About Words?

Reference 12

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Simulating Early Phonetic and Word Learning Without Linguistic Categories,

Reference 13

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This paper cites Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner,

Reference 14

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This paper cites Encoding of lexical tone in self-supervised models of spoken lan- guage,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Encoding of lexical tone in self-supervised models of spoken lan- guage,

Reference 15

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This paper cites A layer-wise analysis of Man- darin and English suprasegmentals in SSL speech models,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training A layer-wise analysis of Man- darin and English suprasegmentals in SSL speech models,

Reference 16

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This paper cites What Has LeBenchmark Learnt about French Syntax?.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training What Has LeBenchmark Learnt about French Syntax?

Reference 17

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This paper cites Do self-supervised speech models de- velop human-like perception biases?.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Do self-supervised speech models de- velop human-like perception biases?

Reference 18

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 19

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This paper cites Unsuper- vised Pretraining Transfers Well Across Languages,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Unsuper- vised Pretraining Transfers Well Across Languages,

Reference 20

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Xls-r: Self-supervised cross-lingual speech representation learning at scale,

Reference 21

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Wav2vec behind the scenes: How end2end models learn phonet- ics,

Reference 22

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Toward a realistic model of speech processing in the brain with self-supervised learning,

Reference 23

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training CGN, an annotated corpus of spoken Dutch,

Reference 24

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training MLS: A Large-Scale Multilingual Dataset for Speech Research,

Reference 25

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This paper cites Common V oice: A Massively-Multilingual Speech Corpus,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Common V oice: A Massively-Multilingual Speech Corpus,

Reference 26

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Represen- tations,

Reference 27

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This paper cites Fairseq: A Fast, Extensible Toolkit for Se- quence Modeling.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Fairseq: A Fast, Extensible Toolkit for Se- quence Modeling

Reference 28

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This paper cites V oxPopuli: A Large- Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training V oxPopuli: A Large- Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation,

Reference 29

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What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training HuggingFace’s Trans- formers: State-of-the-art Natural Language Processing,

Reference 30

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This paper cites The IFADV Corpus: a Free Dialog Video Corpus,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training The IFADV Corpus: a Free Dialog Video Corpus,

Reference 31

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This paper cites Domain- informed probing of wav2vec 2.0 embeddings for phonetic fea- tures,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Domain- informed probing of wav2vec 2.0 embeddings for phonetic fea- tures,

Reference 32

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

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Observation d1b5d8ea-2ced-4cd2-bf9a-4ad7e8295656 · outbound

This paper cites Modeling the initial state of early phonetic learning in infants,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Modeling the initial state of early phonetic learning in infants,

Reference 33

Resolution
verified fuzzy
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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.

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Observation 9395dd62-6dab-4dc6-bed2-5c2bd18e81c5 · outbound

This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf5ba8d7-1d81-4b4f-9ae6-37f8c059bc6b · outbound

This paper cites Scikit-learn: Machine learning in Python,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Scikit-learn: Machine learning in Python,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:21.899126Z

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.

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Observation b17a628b-e03a-4496-9ce1-38ee7ded8143 · outbound

This paper cites Mulder, Y.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Mulder, Y

Reference 36

Resolution
verified fuzzy
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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.

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Observation 222af35f-69a0-405c-8cec-e2532e817f0c · outbound

This paper cites Representational similarity analysis - connecting the branches of systems neuro- science,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Representational similarity analysis - connecting the branches of systems neuro- science,

Reference 37

Resolution
verified fuzzy
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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.

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Observation d60134dc-cd17-4db2-8ef2-23aa5ee27c42 · outbound

This paper cites Enriching Word Vectors with Subword Information,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Enriching Word Vectors with Subword Information,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 989b0e1b-7515-4132-886b-1d00f1741b36 · outbound

This paper cites N-best: the northern- and southern-dutch benchmark evaluation of speech recognition technology.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training N-best: the northern- and southern-dutch benchmark evaluation of speech recognition technology

Reference 39

Resolution
verified fuzzy
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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.

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Observation 78a94c7e-e6b0-4371-9a5b-9953ddd7e928 · outbound

This paper cites An information-theoretic analysis of self-supervised discrete repre- sentations of speech,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training An information-theoretic analysis of self-supervised discrete repre- sentations of speech,

Reference 40

Resolution
verified fuzzy
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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.

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Observation a1a23f96-8560-442e-bc62-d6e03c09b88e · outbound

This paper cites Do speech registers differ in the predictability of words?.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Do speech registers differ in the predictability of words?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:20.633817Z

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.

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Observation 23603a5b-1a19-4fe2-a2dd-3e35f9b89516 · outbound

This paper cites From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 70d45873-0848-45b7-b830-0b8e007ce174 · outbound

This paper cites Speech self-supervised representation benchmarking: Are we doing it right?.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training Speech self-supervised representation benchmarking: Are we doing it right?

Reference 43

Resolution
verified fuzzy
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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.

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Observation 40bdf7a5-d98c-492f-9b5d-75b0288cbd33 · outbound

This paper cites LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised represen- tations of French speech,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised represen- tations of French speech,

Reference 44

Resolution
verified fuzzy
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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.

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Observation f564929c-5b3c-4fcc-a1da-cd277c819dd3 · outbound

This paper cites On the encoding of gender in transformer-based asr representations,.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training On the encoding of gender in transformer-based asr representations,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:59:19.906189Z

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.

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Pith citing papers

Observation f45aefa0-eeba-4885-860b-9487e7492f4c · inbound

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training cites this paper.

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training

Reference 3

Resolution
verified exact
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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.

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