Paper Citation Record · LEDGER

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition

As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2505.24224.

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

pith.paper-citation-record.v1
2505.24224 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:48.535171Z

measured 50 of 50 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:43.440109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:00:28.022131Z

Reference resolution

48 of 48 outbound references displayed

verified exact2
verified fuzzy39
unresolved5
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22a3be49-ad8d-4f04-8b9d-39188979a1df · outbound

This paper cites Elderly speech is often characterized by both imprecise articulations stemming from weakened neuromotor control and linguistic degradation asso- ciated with cognitive decline [1].

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Elderly speech is often characterized by both imprecise articulations stemming from weakened neuromotor control and linguistic degradation asso- ciated with cognitive decline [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:56.585999Z

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 5bd9518c-b417-4662-9798-da98844e7f49 · outbound

This paper cites MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:43.440109Z

Source-reported events for the cited work

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Observation 9b54b9eb-a28b-4f6e-ab1a-a42300e818c6 · outbound

This paper cites <|PREV|>,decoder prompt,<|SOT|>,<|LANGUAGE|>,<|TRANSCRIBE|>, <|NO-TIMESTAMP|>.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition <|PREV|>,decoder prompt,<|SOT|>,<|LANGUAGE|>,<|TRANSCRIBE|>, <|NO-TIMESTAMP|>

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:56.433136Z

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 863406b2-d7e4-4406-bd96-ef43f8996ea4 · outbound

This paper cites This process introduces latency and is highly dependent on the quantity and quality of the pseudo-labels.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition This process introduces latency and is highly dependent on the quantity and quality of the pseudo-labels

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:56.253753Z

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 12525912-7f24-4f96-a5f2-74630b498d54 · outbound

This paper cites query”, “key.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition query”, “key

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:37:55.675400Z

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 af6e9281-430a-4781-8c84-54d7faec6395 · outbound

This paper cites 1(b), K-means clustering is applied to the speaker prompts from SAT, pro- ducing robust and generalizable prompt-experts.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition 1(b), K-means clustering is applied to the speaker prompts from SAT, pro- ducing robust and generalizable prompt-experts

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:55.851776Z

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 3d8f6c6d-e775-4ebc-91ec-e0b62f41418a · outbound

This paper cites 14200220, 14200021, 14200324, Innovation Technology Fund grant No.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition 14200220, 14200021, 14200324, Innovation Technology Fund grant No

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:55.383358Z

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 71c4bee8-2e4e-4c21-a843-86f144d7e175 · outbound

This paper cites Cluster-based prompt-experts and dynamic router networks allow zero-shot, real-time adaptation to unseen speak- ers.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Cluster-based prompt-experts and dynamic router networks allow zero-shot, real-time adaptation to unseen speak- ers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:55.526364Z

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 9bf61e35-df29-4f52-8c7c-74be1e02db53 · outbound

This paper cites Speaker adaptation using spectro-temporal deep fea- tures for dysarthric and elderly speech recognition,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Speaker adaptation using spectro-temporal deep fea- tures for dysarthric and elderly speech recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.267324Z

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 1b65eb04-e998-4cec-ad01-13e544fd5d6d · outbound

This paper cites The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition The natural history of alzheimer’s disease: description of study cohort and accuracy of diagnosis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:55.200749Z

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 c9de1a84-888e-4b05-97bf-ecf0aa50ad1e · outbound

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

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Robust Speech Recognition via Large-Scale Weak Supervision,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:44.115396Z

Source-reported events for the cited work

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Observation e7d494b8-6516-48dd-9545-0a8831821645 · outbound

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

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.990985Z

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 83f3953f-9ea5-4a57-96c2-7de8aa37c3c9 · outbound

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

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.833545Z

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 ee25928b-c0cb-4fc4-8cbf-a8bb8485ced6 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:44.397001Z

Source-reported events for the cited work

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Observation 9d1a9d95-48a3-4b82-9fc6-4306f9984890 · outbound

This paper cites Exploring Self-supervised Pre-trained ASR Mod- els For Dysarthric and Elderly Speech Recognition,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Exploring Self-supervised Pre-trained ASR Mod- els For Dysarthric and Elderly Speech Recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.627703Z

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 31a35b66-3c10-4dbf-a9cc-785f83131122 · outbound

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

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Self-supervised asr models and fea- tures for dysarthric and elderly speech recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.444677Z

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 87524627-2fcc-46cb-bb8f-7c7babb5fcce · outbound

This paper cites Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:37:48.976839Z

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 a08f6616-1581-4eb2-b3eb-13106cee0e88 · outbound

This paper cites Speaker adaptation for end-to-end ctc models,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Speaker adaptation for end-to-end ctc models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:52.921880Z

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 77be1539-1ab1-4f33-a474-158147121a51 · outbound

This paper cites Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Structured Speaker-Deficiency Adaptation of Foundation Models for Dysarthric and Elderly Speech Recognition

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:37:48.785601Z

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 5d434f11-c729-488e-9563-2086bec0724c · outbound

This paper cites Development of the CUHK Elderly Speech Recog- nition System for Neurocognitive Disorder Detection Using the Dementiabank Corpus,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Development of the CUHK Elderly Speech Recog- nition System for Neurocognitive Disorder Detection Using the Dementiabank Corpus,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:54.135727Z

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 3b73548f-f837-4d62-8b06-4d5b45f221ce · outbound

This paper cites Lin- ear hidden transformations for adaptation of hybrid ANN/HMM models,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Lin- ear hidden transformations for adaptation of hybrid ANN/HMM models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.985394Z

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 ff8aa814-eeb9-4f4a-ac83-05d12e8f69e5 · outbound

This paper cites Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Comparison of discriminative input and output transformations for speaker adaptation in the hybrid NN/HMM systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.810555Z

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 b7691a1e-a6bf-4674-9023-2d0efbc08441 · outbound

This paper cites Cluster adaptive training for deep neural network based acoustic model,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Cluster adaptive training for deep neural network based acoustic model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.636730Z

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 46629484-9438-47b5-a287-2a7904fe63b8 · outbound

This paper cites DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.475597Z

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 b02e7c52-fa09-4aac-92a4-70b862074bf7 · outbound

This paper cites Low-rank plus diagonal adaptation for deep neural networks,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Low-rank plus diagonal adaptation for deep neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.321138Z

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 27627be4-7543-4a72-95ef-c814f38b8321 · outbound

This paper cites Subspace lhuc for fast adapta- tion of deep neural network acoustic models.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Subspace lhuc for fast adapta- tion of deep neural network acoustic models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:53.169820Z

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 bb8835d8-8402-4c3f-818f-9958b0df915d · outbound

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

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition LoRA: Low-Rank Adaptation of Large Language Models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:51.112122Z

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 6c34dc48-b685-4ae2-a2ea-314d5a1cf405 · outbound

This paper cites Fast dnn acoustic model speaker adaptation by learning hidden unit contribution features.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Fast dnn acoustic model speaker adaptation by learning hidden unit contribution features

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:52.697012Z

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 9c59015d-7c81-40de-bb3a-c2edfc43a4e8 · outbound

This paper cites Speaker-aware speech- transformer,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Speaker-aware speech- transformer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:52.487846Z

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 a06994f3-3c6b-4235-98a1-8dbdfcb60409 · outbound

This paper cites Rapid speaker adaptation for conformer transducer: Attention and bias are all you need.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Rapid speaker adaptation for conformer transducer: Attention and bias are all you need

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:52.304634Z

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 4596e4a0-612f-4f7e-a18f-3004159cbfeb · outbound

This paper cites Robust continuous on-device personalization for au- tomatic speech recognition.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Robust continuous on-device personalization for au- tomatic speech recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:52.134930Z

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 b712251a-7bc3-4692-9d09-7941f62bd398 · outbound

This paper cites Inv. ” and “Par.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Inv. ” and “Par

Reference 32

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:37:56.047277Z

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 4fdcb97b-ac7b-40e5-9521-d3307e6812f0 · outbound

This paper cites Confidence score based speaker adaptation of conformer speech recognition systems,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Confidence score based speaker adaptation of conformer speech recognition systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:51.944191Z

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 754494f2-9b4f-4725-8383-088c2a17c410 · outbound

This paper cites Towards High-Performance and Low-Latency Feature-Based Speaker Adaptation of Conformer Speech Recog- nition Systems,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Towards High-Performance and Low-Latency Feature-Based Speaker Adaptation of Conformer Speech Recog- nition Systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:51.751201Z

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 d818138d-ba76-45df-a1eb-091f538ee994 · outbound

This paper cites Adap- tive mixtures of local experts,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Adap- tive mixtures of local experts,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:51.564031Z

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 ee8b98a2-3791-461b-ab4f-34c8ab6d62bb · outbound

This paper cites Hierarchical mixtures of experts and the EM algorithm,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Hierarchical mixtures of experts and the EM algorithm,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:51.317881Z

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 d7e4d1c8-4c6a-4a97-a8ca-d2235e1bfa16 · outbound

This paper cites Parameter-efficient transfer learning for NLP,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Parameter-efficient transfer learning for NLP,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.959148Z

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 be7d830f-c977-4bb4-b1d1-ea7c0e62b050 · outbound

This paper cites Saml: Speaker adaptive mixture of lora experts for end-to-end asr,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Saml: Speaker adaptive mixture of lora experts for end-to-end asr,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.751561Z

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 b097ff4e-d7d2-4902-b52d-fa29e6c142cc · outbound

This paper cites GPT Understands, Too.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition GPT Understands, Too

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:37:47.221424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d059225a-6dcd-4a2f-8355-7fd024717638 · outbound

This paper cites Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Perceiver-Prompt: Flexible Speaker Adaptation in Whisper for Chinese Disordered Speech Recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.565445Z

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 14280aae-f97b-474d-8d64-6efb0ba46cbf · outbound

This paper cites A compact model for speaker-adaptive training,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition A compact model for speaker-adaptive training,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.388224Z

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 a9524c05-34d3-493b-bade-ee0dde563de1 · outbound

This paper cites Speaker turn aware similarity scoring for diarization of speech- based cognitive assessments,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Speaker turn aware similarity scoring for diarization of speech- based cognitive assessments,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.213898Z

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 1691ba50-f876-4ccf-9d2f-291a63c5987b · outbound

This paper cites Some statistical issues in the comparison of speech recognition algorithms,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Some statistical issues in the comparison of speech recognition algorithms,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:50.038711Z

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 02b9bd50-41dc-4021-a638-62a2f48b63ae · outbound

This paper cites Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Advancing speaker embedding learning: Wespeaker toolkit for research and produc- tion,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:49.830128Z

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 7815a17b-7efd-4d91-a47a-bb5e0bdd9410 · outbound

This paper cites Attention is All you Need,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Attention is All you Need,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:37:49.583031Z

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 e3c6bfda-460d-4bbb-b693-9f2a51c49e3d · outbound

This paper cites Exploiting prompt learning with pre-trained language models for alzheimer’s disease detection,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Exploiting prompt learning with pre-trained language models for alzheimer’s disease detection,

Reference 46

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This paper cites A comparative study of acoustic and linguistic features classification for alzheimer’s disease detection,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition A comparative study of acoustic and linguistic features classification for alzheimer’s disease detection,

Reference 47

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This paper cites Conformer based elderly speech recogni- tion system for alzheimer’s disease detection,.

MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Conformer based elderly speech recogni- tion system for alzheimer’s disease detection,

Reference 48

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