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Paper Citation Record · LEDGER

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.16874.

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

pith.paper-citation-record.v1
2412.16874 v4

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:05:05.994002Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 383b91a6-62c1-4836-b99a-f13bfffc5d54 · outbound

This paper cites Disorders of communication: dysarthria,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Disorders of communication: dysarthria,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.271100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 18c70414-7906-4483-84a1-645f2b23db29 · outbound

This paper cites Toward phonetic intelligibility testing in dysarthria,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Toward phonetic intelligibility testing in dysarthria,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.259959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.917093Z digest=sha256:8d9f18337037ae53edc8ae9b9118454cddb6cd32981e963caceabf87e4e0ebd9

Observation dcb2efdb-8d3b-438f-9c5d-30d8423452ba · outbound

This paper cites Speech-language patholo- gists’ use of intelligibility measures in adults with dysarthria,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Speech-language patholo- gists’ use of intelligibility measures in adults with dysarthria,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.249524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 15b2a21b-3ee8-4bd6-9556-20c93faa4809 · outbound

This paper cites Spectro-temporal representation of speech for intelligibility assessment of dysarthria,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Spectro-temporal representation of speech for intelligibility assessment of dysarthria,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.238983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.924582Z digest=sha256:aaa230efde78bb757e71b371e8408af532789cde50f0d44a7a04dd1b069cec5d

Observation f376c520-74cd-47ab-aed9-7e25309f20a7 · outbound

This paper cites Perceptually enhanced single frequency filtering for dysarthric speech detection and intelligi- bility assessment,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Perceptually enhanced single frequency filtering for dysarthric speech detection and intelligi- bility assessment,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.227999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2700cde3-b4b0-4cc5-ba96-7c1e38e110d1 · outbound

This paper cites Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic features,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic features,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.217690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.932642Z digest=sha256:f23676914ef2d0255b93ccfff6016f133c0ca61a00514cc4eacbf93d539520b7

Observation b7c60058-2b09-4b27-9698-cd37804ffec6 · outbound

This paper cites Wav2vec-based detection and severity level classification of dysarthria from speech,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Wav2vec-based detection and severity level classification of dysarthria from speech,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.206863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.936521Z digest=sha256:bcc5faa5451e1ead3b28f55089a5bf086956bdb73f40594bb5da3537ea8a5638

Observation 0c843363-ecf9-4d4a-95ea-694b7f4c326c · outbound

This paper cites Whisper features for dysarthric severity-level classi- fication,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Whisper features for dysarthric severity-level classi- fication,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.196013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.940146Z digest=sha256:6a6c9ab7648a4f8f8d644e44bd6041c9b6c62dd2f85dbc1f77d18f33b9d00793

Observation a748cbc5-4d53-47ff-8790-857a484df346 · outbound

This paper cites Im- proved speaker independent dysarthria intelligibility classification using deepspeech posteriors,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Im- proved speaker independent dysarthria intelligibility classification using deepspeech posteriors,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.185047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.944183Z digest=sha256:9011eaf9448ecdf926091b8126934e95be441cd1dd01b5ee80d5d75129a7b9ff

Observation 1c0aedea-39bd-4027-9321-99e665958a42 · outbound

This paper cites Automated dysarthria severity classification: A study on acoustic features and deep learning tech- niques,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Automated dysarthria severity classification: A study on acoustic features and deep learning tech- niques,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.173891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.947682Z digest=sha256:d0af0d97de526885fefb46a3337429709bdb0b01a68b58100571f0f4b7a116de

Observation 288d304d-5300-426c-9dae-8a4a1b208121 · outbound

This paper cites Markerless analysis of articulatory movements in patients with parkinson’s disease,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Markerless analysis of articulatory movements in patients with parkinson’s disease,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.163660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.951265Z digest=sha256:252b154ad63f56037edeb42b37c48a426e7570648c24647dc1d4c56610595b4f

Observation 8977d1d7-44fc-4d42-ae4f-46c02fde2894 · outbound

This paper cites Assessing speech intelligibility of pathological speech in sentences and word lists: The contribution of phoneme-level measures,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Assessing speech intelligibility of pathological speech in sentences and word lists: The contribution of phoneme-level measures,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.152816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.954790Z digest=sha256:1b53d32e3ba98af02c6728ae230ded6b056b00ce449c62967d46bc9bcaf72d4e

Observation 16dfc437-55a2-4601-9912-3e8e126ba738 · outbound

This paper cites Mser: Multimodal speech emotion recognition using cross- attention with deep fusion,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Mser: Multimodal speech emotion recognition using cross- attention with deep fusion,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.140877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.958263Z digest=sha256:e344e435879801f02316d215d6b12cea9baec17ce4f462305d2882d122fb6b68

Observation e6f5265d-7cf2-43fd-8785-c48b765a8ea0 · outbound

This paper cites Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Automatic assessment of dysarthric severity level using audio-video cross-modal approach in deep learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.129654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.961836Z digest=sha256:3b7ee5aff21e880f7679a978399a38e83856a1c6926b8c4c534c2f71c9e9c074

Observation ed5b2e2b-8215-48d8-a859-72914a8d8f82 · outbound

This paper cites Automatic Assessment of Dysarthria Using Audio-visual Vowel Graph Attention Network.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Automatic Assessment of Dysarthria Using Audio-visual Vowel Graph Attention Network

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T06:05:05.965349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:05:05.965349Z digest=sha256:a40612c94465de694fe7b5d2725303de54a4a9e05cfdc6753cf498a047e22cc0

Observation 4c64a42c-db7f-4094-9f5e-c6374b208565 · outbound

This paper cites Linguistic-acoustic similarity based accent shift for accent recognition,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Linguistic-acoustic similarity based accent shift for accent recognition,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.118943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.969413Z digest=sha256:aa6dd38da0a6d7c3aa6173d9d4a939aa56a2ab94e66f3652fa99ddf763decfad

Observation 1da13fdb-b492-4d41-96c0-95cc0c74fc73 · outbound

This paper cites Dysarthric speech database for universal access research.,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Dysarthric speech database for universal access research.,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.107886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.972929Z digest=sha256:6c402f3ff2f28b4833285a3d46494483a88ca0601f5582a9663b3e0f673bbe8d

Observation 165cce14-94da-41f7-a45d-ae994c326685 · outbound

This paper cites Attention is all you need,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Attention is all you need,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.096918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.976436Z digest=sha256:f1492dd554c1e424ebc27166f2295fc8619717f5f0a4fd510b1e88690a51ff53

Observation 559fcbfa-fc9e-4bdf-a715-d3d9177398a0 · outbound

This paper cites Dysarthria severity assessment using squeeze-and-excitation networks,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Dysarthria severity assessment using squeeze-and-excitation networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.085124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.979817Z digest=sha256:16a83cf26f87016a25128b331e1341fe14b80759669c190417e54f9504d64001

Observation 9fab6ec9-1996-48e3-ba3b-00a0b0af863a · outbound

This paper cites A novel approach for intelligibility assessment in dysarthric subjects,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information A novel approach for intelligibility assessment in dysarthric subjects,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.074225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.983322Z digest=sha256:06e42a9b35877c710919ada61b3e56a75437b037ad8bf26a61a3e01523ec7c64

Observation 58812842-e6dd-49f1-8990-9eb6f2d707c0 · outbound

This paper cites Dysarthric speech recognition using variational mode decomposition and convolutional neural networks,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Dysarthric speech recognition using variational mode decomposition and convolutional neural networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.063017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.986886Z digest=sha256:7334182ccb55d455e03c88bc02ef73017060fdd397fe5f4812e0584ebe6c0e85

Observation 349e0d6b-33ce-4503-ab58-701447491010 · outbound

This paper cites Glottal source information for patho- logical voice detection,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Glottal source information for patho- logical voice detection,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.051679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.990632Z digest=sha256:eb49612e69c52fe27ba6c6eac5e7b75f5ddffca64d94e9cdc4a30343c3d84889

Observation 1319d3a7-64f8-4725-bbc0-1a72a949f0e6 · outbound

This paper cites Pre- trained models for detection and severity level classification of dysarthria from speech,.

A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information Pre- trained models for detection and severity level classification of dysarthria from speech,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:05:06.039758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:05:05.994002Z digest=sha256:0e66d7bfffcbcd9a4793857236156b9b66d472035c63b64135034f7a9816f5db

Pith citing papers

No inbound Pith citation observations are available.