Paper Citation Record · LEDGER

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.03784.

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

pith.paper-citation-record.v1
2412.03784 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:37.551128Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:10:37.383981Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T22:10:37.612176Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy36
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c950ad6b-a706-492a-8207-09ca327bd8de · outbound

This paper cites Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T22:10:37.618015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2585da39-a6e8-4817-908e-7d7c26e6ac22 · outbound

This paper cites Severity 0 1 2 Total Number of Utterances 431 1950 186 2567 We employ the proposed method to the Korean Dysarthric Speech dataset 2.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Severity 0 1 2 Total Number of Utterances 431 1950 186 2567 We employ the proposed method to the Korean Dysarthric Speech dataset 2

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:38.050876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 69b3dbbb-1cb6-4297-9ff8-e57c5db0872a · outbound

This paper cites Ta- ble 2 describes features we extracted from ASR transcription.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Ta- ble 2 describes features we extracted from ASR transcription

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:38.039299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8189a0bd-3619-48c9-a211-a81fe4523ec6 · outbound

This paper cites Experimental Setup We used the same corpus to train the ASR system and au- tomatic severity classification model.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Experimental Setup We used the same corpus to train the ASR system and au- tomatic severity classification model

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T22:10:38.028675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4960a964-c0a8-456b-b58a-284dcef8e474 · outbound

This paper cites For example, as in Figure 1, our method could reveal the impact on severity through feature importance analysis aligned with clinical indicators.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech For example, as in Figure 1, our method could reveal the impact on severity through feature importance analysis aligned with clinical indicators

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:38.017405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3cc1414c-0c2f-4790-ada7-32d698cc8933 · outbound

This paper cites We employed an ML model, which has feature-level interpretability and improved its performance.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech We employed an ML model, which has feature-level interpretability and improved its performance

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:38.004870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60379fa1-addb-40ff-a80b-22e688bbd894 · outbound

This paper cites an unresolved cited work.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:10:37.993068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc2734a5-6234-4573-a51f-e127b9dd0b5c · outbound

This paper cites Acceptability and intelligibility of moderately dysarthric speech by four types of listeners,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Acceptability and intelligibility of moderately dysarthric speech by four types of listeners,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.906329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e52f4b8c-e308-4b30-85d7-96dfcf8613ff · outbound

This paper cites Improving the intelligibility of dysarthric speech,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Improving the intelligibility of dysarthric speech,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.982107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 173982eb-9e9a-4c43-a022-68d0be791ae1 · outbound

This paper cites Patients’ experiences of disruptions associated with post-stroke dysarthria,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Patients’ experiences of disruptions associated with post-stroke dysarthria,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.971683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b8a0417d-c8ab-4eef-9d4b-fc83d209d075 · outbound

This paper cites A feasibility randomized controlled trial of readyspeech for people with dysarthria after stroke,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech A feasibility randomized controlled trial of readyspeech for people with dysarthria after stroke,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.961697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bbe91cdb-437e-48d5-b03f-7eb636a21a79 · outbound

This paper cites Socioeconomic status and stroke inci- dence, prevalence, mortality, and worldwide burden: an ecological analysis from the global burden of disease study 2017,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Socioeconomic status and stroke inci- dence, prevalence, mortality, and worldwide burden: an ecological analysis from the global burden of disease study 2017,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.950441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c60a844a-6e2c-4430-83e4-cb18b2b6d116 · outbound

This paper cites Where the ear fits: A perceptual evaluation of motor speech disorders,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Where the ear fits: A perceptual evaluation of motor speech disorders,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.939231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f5af256-ea9d-4efe-b02d-54d236c0ff0e · outbound

This paper cites Implementing speech supplementation strategies: effects on intelligibility and speech rate of individuals with chronic severe dysarthria,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Implementing speech supplementation strategies: effects on intelligibility and speech rate of individuals with chronic severe dysarthria,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.928372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 932dc2a7-8531-426c-b2d6-34782c7b306f · outbound

This paper cites Listener agreement for auditory-perceptual ratings of dysarthria,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Listener agreement for auditory-perceptual ratings of dysarthria,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.917303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 071e6f30-4c7a-434c-90bb-37830f31e0ac · outbound

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

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic fea- tures,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.817993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b97a719-2cb8-4b23-95cb-39a50f97fb37 · outbound

This paper cites Perceptual classification of motor speech disorders: The role of severity, speech task, and listener’s expertise,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Perceptual classification of motor speech disorders: The role of severity, speech task, and listener’s expertise,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.895350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a36a6e1-7863-4717-b30c-fe80781da17c · outbound

This paper cites Reliability of auditory- perceptual scaling of dysarthria,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Reliability of auditory- perceptual scaling of dysarthria,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.883777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c2ed436-6e90-4c95-9358-b88d44186b0c · outbound

This paper cites an unresolved cited work.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:10:37.872493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f4e4204-8a9f-44d6-9820-2fea1c5ec755 · outbound

This paper cites Automatic severity classification of dysarthric speech by using self-supervised model with multi-task learning,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Automatic severity classification of dysarthric speech by using self-supervised model with multi-task learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.861578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdaf8708-c5b7-4d53-98e9-32fa1e9b4a5b · outbound

This paper cites Adversarial- Free Speaker Identity-Invariant Representation Learn- ing for Automatic Dysarthric Speech Classification,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Adversarial- Free Speaker Identity-Invariant Representation Learn- ing for Automatic Dysarthric Speech Classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.850252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4825f48-fd86-4f4a-b35f-5b2588d617bd · outbound

This paper cites Inspired by these attributes, we designed two main categories of fea- tures: Pronunciation Correctness, and Structural Prosody.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Inspired by these attributes, we designed two main categories of fea- tures: Pronunciation Correctness, and Structural Prosody

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:38.061575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7005c40-a01c-41cf-97af-c3795c78391e · outbound

This paper cites Grad-cam: Visual explanations from deep net- works via gradient-based localization,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Grad-cam: Visual explanations from deep net- works via gradient-based localization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.838871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f57ec410-0816-4517-b95d-251049f6d11c · outbound

This paper cites Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.828509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 05285f9a-e6aa-41aa-81ff-10a890208f5b · outbound

This paper cites Phonological features in discrimina- tive classification of dysarthric speech,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Phonological features in discrimina- tive classification of dysarthric speech,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.807036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06f0294a-4311-4743-9314-8575c30c4071 · outbound

This paper cites Neurospeech: An open-source software for parkinson’s speech analysis,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Neurospeech: An open-source software for parkinson’s speech analysis,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.795891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75ff072a-de0b-45a5-a25e-018697872aec · outbound

This paper cites On using the ua-speech and torgo databases to validate automatic dysarthric speech classification approaches,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech On using the ua-speech and torgo databases to validate automatic dysarthric speech classification approaches,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.785477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40d07147-5196-4f7a-ab59-94c5f2f11b7b · outbound

This paper cites Speech Intelligibility of Dysarthric Speech: Human Scores and Acoustic-Phonetic Features,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Speech Intelligibility of Dysarthric Speech: Human Scores and Acoustic-Phonetic Features,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.774695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3136a729-49e3-4c7b-b977-8232dfb0997d · outbound

This paper cites Praat, a system for doing phonetics by computer,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Praat, a system for doing phonetics by computer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.764250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c0d7c3b-c052-4dbd-a65a-b2be85b1f181 · outbound

This paper cites Duffy, Motor speech disorders: Substrates, differential diagnosis, and management, Elsevier, 2020.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Duffy, Motor speech disorders: Substrates, differential diagnosis, and management, Elsevier, 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.751950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75c5a230-9e2b-418e-8012-988a63f18e25 · outbound

This paper cites Dysarthria evaluation,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Dysarthria evaluation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.739999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 15804d5b-cf57-414d-a574-0a7e7e20145f · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Robust Speech Recognition via Large-Scale Weak Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:37.503197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c5e403b-7116-4c77-89d9-2ef4acabbb7c · outbound

This paper cites Inappropriate pause detection in dysarthric speech using large-scale speech recognition,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Inappropriate pause detection in dysarthric speech using large-scale speech recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.729186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0c8a49d-8321-41de-a645-04446931cacc · outbound

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

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Bertscore: Evaluating text generation with BERT,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.718081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef1ba940-b063-4b69-849a-9489c5f8b063 · outbound

This paper cites BERT: pre-training of deep bidi- rectional transformers for language understanding,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech BERT: pre-training of deep bidi- rectional transformers for language understanding,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.706132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5bdd4b40-ec4a-4f64-a4b3-b7fda8d462b8 · outbound

This paper cites Assessing ASR Model Quality on Disordered Speech using BERTScore.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Assessing ASR Model Quality on Disordered Speech using BERTScore

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:37.519163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd45ecf-61e1-414c-b7fc-fa532919ff4e · outbound

This paper cites KLUE: korean language understanding evaluation,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech KLUE: korean language understanding evaluation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.694947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fd47091-bfba-40d4-8f78-21fea6b15784 · outbound

This paper cites Ef- fect of speech rate for sentences on speech intelligibil- ity,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Ef- fect of speech rate for sentences on speech intelligibil- ity,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.682718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa83d160-99a7-46b6-bdfb-49cb10b986c6 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:37.530337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af444272-2145-449e-955f-7eda3d28b233 · outbound

This paper cites Decoupled weight decay regularization,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Decoupled weight decay regularization,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.671218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 772ef90a-41f6-4c8b-8fbb-946fbe759e6f · outbound

This paper cites Cross-lingual dysarthria severity classi- fication for english, korean, and tamil,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Cross-lingual dysarthria severity classi- fication for english, korean, and tamil,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.659800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ba0d7db-3a81-4ff1-a118-642c6396f3b6 · outbound

This paper cites In- troducing Parselmouth: A Python interface to Praat,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech In- troducing Parselmouth: A Python interface to Praat,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T22:10:37.543202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fc652e-c816-4499-ad0e-4476f851ace4 · outbound

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

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.641116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 030bead7-b50e-40ab-a08f-ea70a8b2de5d · outbound

This paper cites Whisper Features for Dysarthric Severity-Level Classification,.

Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech Whisper Features for Dysarthric Severity-Level Classification,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:10:37.629898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation c950ad6b-a706-492a-8207-09ca327bd8de · inbound