Paper Citation Record · LEDGER

Exploring Generative Error Correction for Dysarthric Speech Recognition

As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2505.20163.

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

pith.paper-citation-record.v1
2505.20163 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:51.665299Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:42.865398Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:02:51.792355Z

Reference resolution

57 of 57 outbound references displayed

verified exact1
verified fuzzy33
unresolved21
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76e63ae6-a255-423d-a0e5-229e2074dd28 · outbound

This paper cites V oice-controlled systems now support tasks ranging from simple commands to complex conversations.

Exploring Generative Error Correction for Dysarthric Speech Recognition V oice-controlled systems now support tasks ranging from simple commands to complex conversations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.597062Z

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Observation ec497699-ca64-4b69-9bf6-457a5ead1e74 · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:00.457078Z

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Observation 07871113-4806-493f-adc9-5ee0c4a7a613 · outbound

This paper cites Our approach first uses ASR models to generate multiple transcription hypotheses, captur- ing different interpretations of the acoustic input.

Exploring Generative Error Correction for Dysarthric Speech Recognition Our approach first uses ASR models to generate multiple transcription hypotheses, captur- ing different interpretations of the acoustic input

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:03:00.220098Z

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Observation 6ecd27f8-d91b-4197-942d-11fbf7ba3747 · outbound

This paper cites Exploring Generative Error Correction for Dysarthric Speech Recognition.

Exploring Generative Error Correction for Dysarthric Speech Recognition Exploring Generative Error Correction for Dysarthric Speech Recognition

Reference 4

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Observation 75266f0e-4f24-4d5c-bc4c-0c0a2e00b1b3 · outbound

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Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 6

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Observation c2c6b8da-5bf5-44d6-9450-35cd3b4d04e6 · outbound

This paper cites A con- trastive learning approach to mitigate bias in speech models,.

Exploring Generative Error Correction for Dysarthric Speech Recognition A con- trastive learning approach to mitigate bias in speech models,

Reference 7

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Source-reported events for the cited work

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Observation 594bea1a-f111-4334-b14f-b4c31b2d5e5e · outbound

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Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 8

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Observation 36d635bd-8c88-4171-b6f9-6024f165f3fc · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:59.475643Z

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Observation f9ab0680-cdde-4087-941a-c9356e12b7ec · outbound

This paper cites Given the following n-best list of hypotheses from ASR, provide the correct transcription: My favourite hobby is to go dancing and karaoke.

Exploring Generative Error Correction for Dysarthric Speech Recognition Given the following n-best list of hypotheses from ASR, provide the correct transcription: My favourite hobby is to go dancing and karaoke

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.269457Z

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Observation e1f003ff-b0cc-4e33-a723-1b079a1034ff · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 11

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Observation 6b4b784a-61ec-4ec0-b6c4-4d815f8a6d75 · outbound

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Reference 12

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Observation 759ed83f-65d6-4c5e-9bcf-c821f26f30c6 · outbound

This paper cites an unresolved cited work.

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Reference 13

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Observation db2231ca-aa41-4fc4-972f-6980940bf7a4 · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 14

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Observation 4cd5ed50-aa23-45eb-8256-274045d814fb · outbound

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Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 15

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Observation dd7bd713-1bd7-4841-b3a6-02ed62ec8471 · outbound

This paper cites This technique aims to mitigate hallucinations, a common issue in generative ASR methods like Whisper.

Exploring Generative Error Correction for Dysarthric Speech Recognition This technique aims to mitigate hallucinations, a common issue in generative ASR methods like Whisper

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.301115Z

Source-reported events for the cited work

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Observation 6ba40836-7367-47ea-847b-978255ea0b55 · outbound

This paper cites (che- che-) checkout.

Exploring Generative Error Correction for Dysarthric Speech Recognition (che- che-) checkout

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:58.164941Z

Source-reported events for the cited work

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Observation 74db2150-2b8f-4652-874e-cc1c9dc5bd97 · outbound

This paper cites Our analysis focuses on understanding how acoustic and lin- guistic modeling capabilities contribute to dysarthric speech recognition.

Exploring Generative Error Correction for Dysarthric Speech Recognition Our analysis focuses on understanding how acoustic and lin- guistic modeling capabilities contribute to dysarthric speech recognition

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T14:02:58.045889Z

Source-reported events for the cited work

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Observation 90816921-28c2-4ea5-8926-9d5ad9cc1bd4 · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 19

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Observation a785b989-600e-4730-93dd-b13ddb522222 · outbound

This paper cites ASR only GER Pipeline.

Exploring Generative Error Correction for Dysarthric Speech Recognition ASR only GER Pipeline

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:59.625270Z

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Observation 0545d060-9ed0-49dd-9578-4f90edbb06db · outbound

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Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:57.620213Z

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Observation bc42f1b7-9304-493a-966c-c80af336bef4 · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 22

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Observation ddbea0b0-b02a-4642-aa44-5bd72db6eeec · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 23

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Observation 6c54c148-690c-4f8b-a927-a039710b173c · outbound

This paper cites football.

Exploring Generative Error Correction for Dysarthric Speech Recognition football

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:57.079829Z

Source-reported events for the cited work

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Observation ffe51cd6-175c-4681-a15c-b91fd04dc9d1 · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:56.911976Z

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Observation 23d6581a-b4cf-47c3-9dc6-8ecffce4dc5b · outbound

This paper cites an unresolved cited work.

Exploring Generative Error Correction for Dysarthric Speech Recognition Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:02:56.761976Z

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Observation 860e9e2f-c2cb-4a15-a708-14c589578c04 · outbound

This paper cites Superb: Speech processing universal perfor- mance benchmark,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Superb: Speech processing universal perfor- mance benchmark,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.530701Z

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Observation 6f8662b3-befa-4e2b-b444-dd0d194a44a6 · outbound

This paper cites Italic: An italian intent classification dataset,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Italic: An italian intent classification dataset,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.322713Z

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Observation bd614865-fe62-4389-9dd8-29663eb6fe3f · outbound

This paper cites Speech-massive: A multilingual speech dataset for slu and be- yond,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Speech-massive: A multilingual speech dataset for slu and be- yond,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:56.160998Z

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Observation adcb8662-b7bf-43d0-8f68-753c9ca59209 · outbound

This paper cites Benchmarking representations for speech, music, and acoustic events,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Benchmarking representations for speech, music, and acoustic events,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.993635Z

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Observation 629d23b6-6ff2-4aef-8aee-eeeb23436fc7 · outbound

This paper cites Exploring subgroup performance in end-to-end speech models,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Exploring subgroup performance in end-to-end speech models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.828657Z

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Observation 7316d945-2414-467f-a568-518bd33cc459 · outbound

This paper cites Towards comprehensive subgroup performance analysis in speech models,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Towards comprehensive subgroup performance analysis in speech models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.661984Z

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Observation 59038525-74d1-4eae-9305-2c86b3c41f18 · outbound

This paper cites Training data augmentation for dysarthric automatic speech recognition by text- to-dysarthric-speech synthesis,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Training data augmentation for dysarthric automatic speech recognition by text- to-dysarthric-speech synthesis,

Reference 33

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Source-reported events for the cited work

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Observation 4d18e41b-2bd8-4ee1-b86d-548d4bfef8f3 · outbound

This paper cites Dysarthric speech recognition: A comparative study,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Dysarthric speech recognition: A comparative study,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.533564Z

Source-reported events for the cited work

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Observation 956786bb-1930-4e76-aed2-f040d8e8074e · outbound

This paper cites New spanish speech cor- pus database for the analysis of people suffering from parkinson’s disease.

Exploring Generative Error Correction for Dysarthric Speech Recognition New spanish speech cor- pus database for the analysis of people suffering from parkinson’s disease

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.375459Z

Source-reported events for the cited work

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Observation b78e627e-46b6-4982-bd49-6dbf36654f4f · outbound

This paper cites V oice disorder analysis: a transformer-based approach,.

Exploring Generative Error Correction for Dysarthric Speech Recognition V oice disorder analysis: a transformer-based approach,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:55.158772Z

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Observation 83d01bc0-ad39-46a6-919d-a2d5afb070d9 · outbound

This paper cites Exploiting foundation models and speech enhancement for parkinson’s disease detection from speech in real-world operative conditions,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Exploiting foundation models and speech enhancement for parkinson’s disease detection from speech in real-world operative conditions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.935200Z

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Observation 469c7461-2bfa-4e89-9828-51fa0d38d001 · outbound

This paper cites Bilingual dual-head deep model for parkinson’s disease detection from speech,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Bilingual dual-head deep model for parkinson’s disease detection from speech,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.753257Z

Source-reported events for the cited work

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Observation 64564fce-349a-4408-bf73-48def8fe889c · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,.

Exploring Generative Error Correction for Dysarthric Speech Recognition wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:49.724051Z

Source-reported events for the cited work

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Observation 40c614d9-8a3e-4ba0-85a1-c2c72e7d1ea9 · outbound

This paper cites Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.576483Z

Source-reported events for the cited work

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Observation 25e6a168-5924-4ec1-90d1-9f53a2e92a41 · outbound

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

Exploring Generative Error Correction for Dysarthric Speech Recognition Robust speech recognition via large-scale weak supervision,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:49.924569Z

Source-reported events for the cited work

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Observation cf8cf85a-8d5e-4479-b682-a948c2949803 · outbound

This paper cites voc2vec: A foundation model for non-verbal vocalization,.

Exploring Generative Error Correction for Dysarthric Speech Recognition voc2vec: A foundation model for non-verbal vocalization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.372120Z

Source-reported events for the cited work

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Observation b0bf0429-712e-41aa-9ea9-2c4d6520cecc · outbound

This paper cites Community-supported shared in- frastructure in support of speech accessibility,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Community-supported shared in- frastructure in support of speech accessibility,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.252242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 169aaae0-a6f2-4cec-9678-a8625989748b · outbound

This paper cites Enhancing pre-trained asr system fine-tuning for dysarthric speech recognition using adversarial data augmenta- tion,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Enhancing pre-trained asr system fine-tuning for dysarthric speech recognition using adversarial data augmenta- tion,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:54.058496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae8866b9-2c86-474c-953f-dda9575ed930 · outbound

This paper cites Dysarthric speech recognition using curriculum learning and articulatory feature embedding,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Dysarthric speech recognition using curriculum learning and articulatory feature embedding,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.892548Z

Source-reported events for the cited work

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Observation 3e1cced8-eae1-4f80-8a66-c7ddbe7a49fb · outbound

This paper cites Whisperx: Time- accurate speech transcription of long-form audio,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Whisperx: Time- accurate speech transcription of long-form audio,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.704160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c93e9535-9d92-486c-aaee-fc33b6115f3e · outbound

This paper cites Optimization of rnn-based speech activity detection,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Optimization of rnn-based speech activity detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.518398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a93d6a9-872e-4328-bdf6-92b438479e46 · outbound

This paper cites Pyannote.audio: Neural building blocks for speaker diarization,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Pyannote.audio: Neural building blocks for speaker diarization,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.380883Z

Source-reported events for the cited work

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Observation 13846033-9413-403c-b7c5-99dae2e3724a · outbound

This paper cites Scaling instruction-finetuned language mod- els,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Scaling instruction-finetuned language mod- els,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.174801Z

Source-reported events for the cited work

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Observation a6fa8821-86f9-40ad-a0a8-095464def48d · outbound

This paper cites Flanec: Exploring flan-t5 for post-asr error correction,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Flanec: Exploring flan-t5 for post-asr error correction,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:53.015901Z

Source-reported events for the cited work

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Observation a88af00d-554c-4df2-9e8e-bd1e326b3b14 · outbound

This paper cites LoRA: Low-rank adaptation of large lan- guage models,.

Exploring Generative Error Correction for Dysarthric Speech Recognition LoRA: Low-rank adaptation of large lan- guage models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:52.853649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46a7c700-1921-4bc5-914d-261b76156143 · outbound

This paper cites The torgo database of acoustic and articulatory speech from speakers with dysarthria,.

Exploring Generative Error Correction for Dysarthric Speech Recognition The torgo database of acoustic and articulatory speech from speakers with dysarthria,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:52.651453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9e35dc1-e38b-4c71-b980-71db2caaa070 · outbound

This paper cites V oxpopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,.

Exploring Generative Error Correction for Dysarthric Speech Recognition V oxpopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:52.459144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 296b4b7f-a0b9-4652-a253-f0e380357293 · outbound

This paper cites Crisperwhisper: Accu- rate timestamps on verbatim speech transcriptions,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Crisperwhisper: Accu- rate timestamps on verbatim speech transcriptions,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:52.271460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ecb44ed2-95a4-465d-ab10-0eac810fd38f · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Exploring Generative Error Correction for Dysarthric Speech Recognition MUSAN: A Music, Speech, and Noise Corpus

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.437309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e570959-a07c-4bc3-8e78-cc15048669c8 · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.532464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269c79e1-4b1f-4022-b141-78d6aae518be · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Decoupled weight decay regulariza- tion,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:51.601732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2392c9af-a567-405b-80ec-f7122c2e5c93 · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

Exploring Generative Error Correction for Dysarthric Speech Recognition Bertscore: Evaluating text generation with bert,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:02:52.067264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 6ecd27f8-d91b-4197-942d-11fbf7ba3747 · inbound