Paper Citation Record · LEDGER

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2506.01618.

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

pith.paper-citation-record.v1
2506.01618 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:44:12.195614Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:44:11.728259Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:44:12.241972Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy25
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad81ae64-0f7b-4bb5-b196-3f8212a33528 · outbound

This paper cites As a result, Automatic Speech Recognition (ASR) systems trained on typ- ical speech often struggle to process dysarthric speech accu- rately [2].

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech As a result, Automatic Speech Recognition (ASR) systems trained on typ- ical speech often struggle to process dysarthric speech accu- rately [2]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.716260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45e1977f-c37e-4893-ac5a-e7fcaf0c9bea · outbound

This paper cites Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:44:12.260141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea05b2a9-141f-4af2-b352-8260ab674575 · outbound

This paper cites We further train and adapt ASR models on the converted speech to assess more thoroughly whether conversion helps improve recognition performance.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech We further train and adapt ASR models on the converted speech to assess more thoroughly whether conversion helps improve recognition performance

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.674799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29d2ca52-509f-4ae2-992e-a48e86f383fd · outbound

This paper cites RnV implementation We implement the framework similarly to [6].

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech RnV implementation We implement the framework similarly to [6]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.632338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25ec0a5f-a3f1-456f-82bd-e289f280ab64 · outbound

This paper cites We can observe that speaking rates increase with lower severity levels as expected.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech We can observe that speaking rates increase with lower severity levels as expected

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.555941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec18420e-5145-45f5-8ca4-dad4fa1ffaa2 · outbound

This paper cites The clear correlation between speaking rate and dysarthria severity supports this approach, as speaking rate in- creases with lower severity.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech The clear correlation between speaking rate and dysarthria severity supports this approach, as speaking rate in- creases with lower severity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.513500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60897f04-1e08-4895-b8f4-ce1284d9d296 · outbound

This paper cites Pathological Speech Synthesis (PaSS).

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Pathological Speech Synthesis (PaSS)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.472797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f509ffe-d893-4063-ae1b-ae042e573ad5 · outbound

This paper cites Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.096978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1f7bb4d-453e-4f8f-8adb-7c8d2361607d · outbound

This paper cites an unresolved cited work.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:44:14.427202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd796991-b276-4294-8b30-c141bf85c307 · outbound

This paper cites Whistle- blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Whistle- blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.370058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1797803c-5ba9-4151-90b2-4ff9e1d629d7 · outbound

This paper cites Synthesizing Dysarthric Speech Using Multi-Speaker TTS For Dysarthric Speech Recognition,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Synthesizing Dysarthric Speech Using Multi-Speaker TTS For Dysarthric Speech Recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.327722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b3d3d72-3b33-4e85-96a6-051307373925 · outbound

This paper cites Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.270207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44a58de9-3b59-4a58-b2c9-769681abf7d5 · outbound

This paper cites Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.226461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f30b39c-7b1f-4ff1-b597-cfc6bea7c54b · outbound

This paper cites Unsupervised rhythm and voice conversion of dysarthric to healthy speech for ASR,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Unsupervised rhythm and voice conversion of dysarthric to healthy speech for ASR,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.182796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfe45953-b9de-475d-8eaa-94d2e4636409 · outbound

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

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech The TORGO database of acoustic and articulatory speech from speakers with dysarthria,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.143463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3c188df-5b1a-4368-bcbc-c22b294cdd25 · outbound

This paper cites HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.511868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be460ca5-a731-455d-b9b6-48d51a510e42 · outbound

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

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Robust speech recognition via large-scale weak su- pervision,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:44:12.024400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f82749-1a2a-45ef-99ec-7ffd58bf77bb · outbound

This paper cites The models are trained in Kaldi [19] using the train- ing recipe from [20], i.e.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech The models are trained in Kaldi [19] using the train- ing recipe from [20], i.e

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.597032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b78cb52b-4a78-4e2a-89e0-6ea0920e1971 · outbound

This paper cites Rhythm modeling for voice conversion,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Rhythm modeling for voice conversion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:14.034203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 536d63cc-f246-4139-96a8-669c80ffc76b · outbound

This paper cites V oice conversion with just nearest neighbors,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech V oice conversion with just nearest neighbors,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:13.990482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ed471bc-3c76-4296-acea-1511c628ad97 · outbound

This paper cites Estimating the speaking rate by vowel detection,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Estimating the speaking rate by vowel detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:13.951588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb45322b-c199-4384-b063-68eb407324c0 · outbound

This paper cites Syllable level features for Parkinson’s disease detection from speech,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Syllable level features for Parkinson’s disease detection from speech,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:13.907993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfa1c791-9509-4cfa-81b6-b1d06417b420 · outbound

This paper cites Pre-linguistic segmen- tation of speech into syllable-like units,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Pre-linguistic segmen- tation of speech into syllable-like units,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.602034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ddc97db-bcc5-4ad3-9451-635bf6f73fa7 · outbound

This paper cites WavLM: Large- scale self-supervised pre-training for full stack speech process- ing,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech WavLM: Large- scale self-supervised pre-training for full stack speech process- ing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.559326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe6e94c1-1b68-4fd9-96e7-ee6bb9448f1b · outbound

This paper cites The LJ speech dataset,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech The LJ speech dataset,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.454431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f007e083-ef2e-4127-a262-f6425dcef2bd · outbound

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

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Semi-Orthogonal Low-Rank Matrix Factor- ization for Deep Neural Networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.407372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a99d679a-69e8-4068-a6c3-e39aeb03f551 · outbound

This paper cites The Kaldi Speech Recognition Toolkit,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech The Kaldi Speech Recognition Toolkit,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.356703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d96f659b-562f-4d57-9a9d-5bc446672340 · outbound

This paper cites Dysarthric speech recog- nition with lattice-free MMI,.

Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech Dysarthric speech recog- nition with lattice-free MMI,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:44:12.295861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 45e1977f-c37e-4893-ac5a-e7fcaf0c9bea · inbound