Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition | Paper Citation Record

Observation d82df88b-5cc2-4851-bdb5-a048e49cdffb · outbound

This paper cites This impairment leads to difficulties with articulation, phonation, respiration, resonance, and prosody [1].

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition This impairment leads to difficulties with articulation, phonation, respiration, resonance, and prosody [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.753335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08d07ebe-bed8-44f2-82ad-2d2c0af00a8f · outbound

This paper cites The2024-11-30version of the data contains speech recordings from a total of 430 participants, with 374 assigned to the training set and 56 to the development (dev) set.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition The2024-11-30version of the data contains speech recordings from a total of 430 participants, with 374 assigned to the training set and 56 to the development (dev) set

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.742009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c8cd2ea2-78ee-4892-bcf7-4aec0620a98a · outbound

This paper cites The speech recognition system 1 is based on the ap- proach introduced in [33].

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition The speech recognition system 1 is based on the ap- proach introduced in [33]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.730530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02bd99bc-d556-43ad-a791-b8ffd7c03751 · outbound

This paper cites SemScore is a weighted sum of BERTscore [49], phonetic distance, and natural language infer- ence probability [50].

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition SemScore is a weighted sum of BERTscore [49], phonetic distance, and natural language infer- ence probability [50]

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T20:26:12.719079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 470a3b8b-5861-4ae5-92a7-331cb7daaebf · outbound

This paper cites We fine-tuned Parler-TTS to generate control- lable synthetic dysarthric speech using LLM-generated tran- scripts and incorporated personalization via x-vectors.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition We fine-tuned Parler-TTS to generate control- lable synthetic dysarthric speech using LLM-generated tran- scripts and incorporated personalization via x-vectors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.708696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e97c2ac-168f-4d14-9918-257315a2871e · outbound

This paper cites Whistle-blowing ASRs: Evaluating the need for more inclusive speech recognition systems,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Whistle-blowing ASRs: Evaluating the need for more inclusive speech recognition systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.641772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 92faed34-36e8-48a7-953c-7f52c3d87a9f · outbound

This paper cites Differential diagnostic patterns of dysarthria,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Differential diagnostic patterns of dysarthria,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.698074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bc8b2fc-73a3-4d2d-9c31-b693920a1763 · outbound

This paper cites Parkinson’s disease,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Parkinson’s disease,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.687541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7fbf8ba-2676-470d-bde7-5ba6b5ecd48c · outbound

This paper cites Ageing and parkinson’s disease: substantia nigra regional selectivity,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Ageing and parkinson’s disease: substantia nigra regional selectivity,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.676776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9eba43ef-38af-4b99-a1dd-b2c0375a2169 · outbound

This paper cites Speech and swallowing symptoms associ- ated with parkinson’s disease and multiple sclerosis: A survey,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Speech and swallowing symptoms associ- ated with parkinson’s disease and multiple sclerosis: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.665256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c18c313-dd7a-4c18-ade4-5f7cfba6eafb · outbound

This paper cites Individual manifestations of parkinson’s disease after ten or more years of levodopa,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Individual manifestations of parkinson’s disease after ten or more years of levodopa,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.653900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6fea4ab5-aed0-4f28-805d-8b0c08ee786d · outbound

This paper cites Investiga- tion of data augmentation techniques for disordered speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Investiga- tion of data augmentation techniques for disordered speech recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.575310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 859abeca-65b7-46c5-9bd2-047d150ab39f · outbound

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

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Training data augmen- tation for dysarthric automatic speech recognition by text-to-dysarthric- speech synthesis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.619362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39fe615e-dd20-47ce-b513-995de40bbc5f · outbound

This paper cites Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.608128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5dd6e88-e9bb-4638-a364-bdced07b8a2f · outbound

This paper cites On the impact of dysarthric speech on contem- porary ASR cloud platforms,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition On the impact of dysarthric speech on contem- porary ASR cloud platforms,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.596826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3efcfd16-1128-45b5-91d0-3c7dd6dc5bef · outbound

This paper cites Data augmentation using healthy speech for dysarthric speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Data augmentation using healthy speech for dysarthric speech recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.586007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 977fa20f-6dd4-448c-bda4-3f109bb69fb8 · outbound

This paper cites Adver- sarial data augmentation using vae-gan for disordered speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Adver- sarial data augmentation using vae-gan for disordered speech recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.517407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d30cd92-506c-42cc-b2de-b9f2ad6b652c · outbound

This paper cites Improved ASR performance for dysarthric speech using two-stage data augmentation,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Improved ASR performance for dysarthric speech using two-stage data augmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.564629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f38a0cf4-e7c1-44f3-b0de-f99004c4d9d6 · outbound

This paper cites Phonetic analysis of dysarthric speech tempo and applications to robust personalised dysarthric speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Phonetic analysis of dysarthric speech tempo and applications to robust personalised dysarthric speech recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.630440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 467e6bb1-652e-4c5f-b924-b2bc1a9d0565 · outbound

This paper cites Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:26:12.107391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6fbe04b3-e68e-4277-a664-4215fddca86b · outbound

This paper cites SpecAugment: A simple data augmentation method for auto- matic speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition SpecAugment: A simple data augmentation method for auto- matic speech recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.554223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71e04102-a45e-4512-95fb-7cb50a331d08 · outbound

This paper cites DuTa-VC: A Duration-aware Typical-to-atypical V oice Conversion Approach with Diffusion Probabilistic Model,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition DuTa-VC: A Duration-aware Typical-to-atypical V oice Conversion Approach with Diffusion Probabilistic Model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.542837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6d4b4f4-95c6-401f-823f-ec21b61ddee7 · outbound

This paper cites Syn- thesizing dysarthric speech using multi-speaker TTS for dysarthric speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Syn- thesizing dysarthric speech using multi-speaker TTS for dysarthric speech recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.530407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b1a8684-343c-493a-9554-c894c7f7da7f · outbound

This paper cites Synthesis of new words for improved dysarthric speech recognition on an expanded vocabu- lary,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Synthesis of new words for improved dysarthric speech recognition on an expanded vocabu- lary,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.505874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb3a8765-07e6-49d1-982f-b6062b3ae624 · outbound

This paper cites Speaker adaptation for wav2vec2 based dysarthric ASR,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Speaker adaptation for wav2vec2 based dysarthric ASR,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.495504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ff1c788-6a69-42cd-8243-6a83cad419b5 · outbound

This paper cites Maximum likelihood linear transformations for HMM-based speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Maximum likelihood linear transformations for HMM-based speech recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.484090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 855bf349-523a-412c-a985-36c5f5e27516 · outbound

This paper cites X- Vectors: Robust DNN Embeddings for Speaker Recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition X- Vectors: Robust DNN Embeddings for Speaker Recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.473599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0278f8e8-738e-44c0-b32a-12bc9f9bff94 · outbound

This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.463505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a79adad6-fe7d-4acd-ad17-1c85ef902e06 · outbound

This paper cites Two-step acoustic model adap- tation for dysarthric speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Two-step acoustic model adap- tation for dysarthric speech recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.452041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4a253fa-c17e-4fca-bf0a-082dbd6a09fe · outbound

This paper cites An analysis of degenerating speech due to progressive dysarthria on asr performance,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition An analysis of degenerating speech due to progressive dysarthria on asr performance,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.439587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8eff26db-f62d-461a-9363-d8ee2d22ea6a · outbound

This paper cites Personalizing ASR for dysarthric and accented speech with limited data,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Personalizing ASR for dysarthric and accented speech with limited data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.426332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9eebcea9-7ce7-413c-aa23-d73016750a41 · outbound

This paper cites On-the-fly feature based rapid speaker adaptation for dysarthric and elderly speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition On-the-fly feature based rapid speaker adaptation for dysarthric and elderly speech recognition,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.414791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2358db9c-e6a5-4c8f-ae75-fd9b3605631f · outbound

This paper cites Enhancing dysarthric speech recognition for unseen speakers via prototype-based adaptation,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Enhancing dysarthric speech recognition for unseen speakers via prototype-based adaptation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.404376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 457d9cab-8146-4380-b5a4-281fac26dada · outbound

This paper cites Cross-lingual self-supervised speech representations for improved dysarthric speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Cross-lingual self-supervised speech representations for improved dysarthric speech recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.394668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7e197a2-3eb5-4dac-a558-49ef9c8d2886 · outbound

This paper cites Self-supervised asr models and features for dysarthric and elderly speech recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Self-supervised asr models and features for dysarthric and elderly speech recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.382823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9663aafb-9247-4411-905b-0663ed83eadc · outbound

This paper cites Robust Cross-Etiology and Speaker-Independent Dysarthric Speech Recognition.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Robust Cross-Etiology and Speaker-Independent Dysarthric Speech Recognition

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.836474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e04d275-73b3-44f8-99db-69e048d4c0fb · outbound

This paper cites Fine-tuning automatic speech recognition for people with parkinson’s: An effective strategy for enhancing speech technology accessibility,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Fine-tuning automatic speech recognition for people with parkinson’s: An effective strategy for enhancing speech technology accessibility,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.371012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c40f869-d838-4ed2-be63-6298407de270 · outbound

This paper cites Personalizing large sequence-to-sequence speech foundation models with speaker representations,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Personalizing large sequence-to-sequence speech foundation models with speaker representations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.359156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8242e10e-9feb-46ad-a152-79fbde4dc631 · outbound

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

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Robust Speech Recognition via Large-Scale Weak Supervision

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.848130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6848cf0-66bd-4c45-918d-2dc337ac567e · outbound

This paper cites Natural language guidance of high-fidelity text-to-speech with synthetic annotations.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Natural language guidance of high-fidelity text-to-speech with synthetic annotations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.852399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4cf7789-a7ad-4724-a702-17943a5f16c5 · outbound

This paper cites Attention is all you need,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Attention is all you need,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.346062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbdf82cf-7dd6-4152-bbc9-032afe9ed221 · outbound

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

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Community-supported shared infrastructure in support of speech accessibility,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.332213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation faade9cb-5747-450d-9d83-8178142d6bb4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition LoRA: Low-Rank Adaptation of Large Language Models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.318558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ce451a5-e5c9-43e6-8947-d8e2bd253254 · outbound

This paper cites Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning ,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning ,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.304854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 020abea4-ec02-4b5b-9323-9c03d2dd1b62 · outbound

This paper cites Parler-TTS,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Parler-TTS,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.292561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d2589e88-8ac7-4110-8b50-8a2e579a7291 · outbound

This paper cites Simple and controllable music generation,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Simple and controllable music generation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.280664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82519d88-525a-4e1d-9faf-4d05f2b11a52 · outbound

This paper cites Scaling instruction-finetuned language models,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Scaling instruction-finetuned language models,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.266676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4c48f05-cdd8-4b0f-bf1f-e9b3ed99ac2a · outbound

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

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition BERTScore: Evaluating text generation with BERT,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.222780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d844d0eb-94bc-4cf6-8db3-ad6a82a2ab1e · outbound

This paper cites High- fidelity audio compression with improved RVQGAN,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition High- fidelity audio compression with improved RVQGAN,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.887538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c28dedd0-2137-42e3-babb-819cdc91407b · outbound

This paper cites High fidelity neural audio compression,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition High fidelity neural audio compression,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.890721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea655e3-ad56-4175-86c3-1dd753d6000c · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.894052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6968a09e-14eb-443d-ad4b-d172b7377533 · outbound

This paper cites The Llama 3 Herd of Models.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition The Llama 3 Herd of Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.898023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93fc18d-1224-49c5-a3b0-7cde53815c4f · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Textbooks Are All You Need II: phi-1.5 technical report

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.902171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de5083da-80cd-4c62-b754-d8e414f3cad7 · outbound

This paper cites ECAPA-TDNN: Em- phasized channel attention, propagation and aggregation in tdnn based speaker verification,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition ECAPA-TDNN: Em- phasized channel attention, propagation and aggregation in tdnn based speaker verification,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.234702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ddc7ea0-dd18-4c02-8720-a6c9f2b8d691 · outbound

This paper cites Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Unveiling Interpretability in Self-Supervised Speech Representations for Parkinson's Diagnosis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.939367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6884f7e5-6d7b-4efd-9d96-b68523f61469 · outbound

This paper cites MENLI: Robust evaluation metrics from natural lan- guage inference,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition MENLI: Robust evaluation metrics from natural lan- guage inference,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.211297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8820af32-0460-40d0-90a5-f380574e3334 · outbound

This paper cites V oxCeleb: A Large-Scale Speaker Identification Dataset,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition V oxCeleb: A Large-Scale Speaker Identification Dataset,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.199098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f434447-4baa-447d-b8cb-18358b4dd5a5 · outbound

This paper cites V oxceleb2: Deep speaker recognition,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition V oxceleb2: Deep speaker recognition,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.187368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18201e89-1f62-489b-b76a-91ae09bf4536 · outbound

This paper cites HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.173816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c339955-bc74-41fb-896d-ae90c8cf6cd3 · outbound

This paper cites Framewise phoneme classification with bidirectional lstm networks,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Framewise phoneme classification with bidirectional lstm networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.160339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27869954-ff13-47ca-a653-2d98acfb3e30 · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recur- rent neural networks,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Connectionist temporal classification: labelling unsegmented sequence data with recur- rent neural networks,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.147292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cc83894-e7bc-4454-adb3-5be133e3c8ea · outbound

This paper cites Large language models for dysfluency detection in stuttered speech,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Large language models for dysfluency detection in stuttered speech,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.134954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ccfafa2-1dc7-4dd1-b25a-2fd900f5b908 · outbound

This paper cites Layer-wise analysis of a self- supervised speech representation model,.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Layer-wise analysis of a self- supervised speech representation model,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:26:12.121764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fcefb27-d0d7-4bda-9303-97a145d217bb · outbound

This paper cites OpenVoice: Versatile Instant Voice Cloning.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition OpenVoice: Versatile Instant Voice Cloning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.951689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9473de-3221-4f8c-8a3f-31aa04bfc354 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition Scaling Instruction-Finetuned Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T20:26:11.883616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers