Paper Citation Record · LEDGER

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2506.16969.

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

pith.paper-citation-record.v1
2506.16969 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:19:59.764201Z

measured 32 of 32 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 2026-08-15T19:19:59.656455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:19:59.861302Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29b7e862-1586-40f1-b092-eaa59ece4617 · outbound

This paper cites State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:19:59.866003Z

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 e43acfad-951c-4d1e-9cbd-aa0b1b243dfc · outbound

This paper cites The primary distinction lies in how they are produced.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition The primary distinction lies in how they are produced

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.153712Z

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 72731bd3-fea3-495e-881a-1693122076c0 · outbound

This paper cites Specifically, we introduce the wTIMIT and CHAINS.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Specifically, we introduce the wTIMIT and CHAINS

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.140770Z

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 67f7ec60-44c6-4a08-b8cd-6cc40b262965 · outbound

This paper cites As a base- line, we evaluated the performance of the pre-trained Whisper Large-v2 model on the test set to assess the need for a special- ized system for the proposed challenges.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition As a base- line, we evaluated the performance of the pre-trained Whisper Large-v2 model on the test set to assess the need for a special- ized system for the proposed challenges

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:20:00.118240Z

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 85f063d8-b6b9-4e73-99ed-7ab21a4699e6 · outbound

This paper cites These challenges can severely degrade the performance of traditional systems, highlighting the necessity of developing ASR models specifically tailored to handle whispered speech.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition These challenges can severely degrade the performance of traditional systems, highlighting the necessity of developing ASR models specifically tailored to handle whispered speech

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.105826Z

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 affd1cb9-744f-4efd-a73e-75489f3cc4a2 · outbound

This paper cites Gener- ative models for improved naturalness, intelligibility, and voicing of whispered speech,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Gener- ative models for improved naturalness, intelligibility, and voicing of whispered speech,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.004955Z

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 738ba118-8258-482e-ad88-17290d9a97ed · outbound

This paper cites Gammatonegram representation for end-to-end dysarthric speech processing tasks: Speech recogni- tion, speaker identification, and intelligibility assessment,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Gammatonegram representation for end-to-end dysarthric speech processing tasks: Speech recogni- tion, speaker identification, and intelligibility assessment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.092558Z

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 6ad10499-a51d-4611-9320-2e6c29dc32ca · outbound

This paper cites Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Dysarthric speaker identification with different degrees of dysarthria severity using deep belief networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.078638Z

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 01904d7e-5fcf-4b9c-831a-a633d837ca66 · outbound

This paper cites Analysis of deep generative model impact on feature extraction and dimension reduction for short ut- terance text-independent speaker verification,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Analysis of deep generative model impact on feature extraction and dimension reduction for short ut- terance text-independent speaker verification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.059860Z

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 50adb962-8278-4a59-a9de-fef72ff4b763 · outbound

This paper cites Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:19:59.851655Z

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 4943a0d9-d4ad-432e-af54-cb1bbb2372df · outbound

This paper cites Whisper to normal speech conversion using sequence-to-sequence mapping model with auditory attention,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Whisper to normal speech conversion using sequence-to-sequence mapping model with auditory attention,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:20:00.038672Z

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 55a6288d-e757-4447-9c5d-d46c9eec9c55 · outbound

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

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.720018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f77349d-2b6e-4c09-84c3-cd8e6901e049 · outbound

This paper cites End-to- end whispered speech recognition with frequency-weighted ap- proaches and pseudo whisper pre-training,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition End-to- end whispered speech recognition with frequency-weighted ap- proaches and pseudo whisper pre-training,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.990581Z

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 a7d48d02-748e-431a-88cf-186b49dd3d7b · outbound

This paper cites Improving whispered speech recognition performance using pseudo-whispered based data augmentation,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Improving whispered speech recognition performance using pseudo-whispered based data augmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.979546Z

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 c8dddfea-b597-45e4-af39-88a511962d43 · outbound

This paper cites Whispered speech recogni- tion using deep denoising autoencoder and inverse filtering,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Whispered speech recogni- tion using deep denoising autoencoder and inverse filtering,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.969448Z

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 9f526990-9172-46e9-a10f-5ca1c4f7725b · outbound

This paper cites an unresolved cited work.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:20:00.129015Z

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 b7e8fbd9-361e-489d-8881-e8b372672603 · outbound

This paper cites Multi-dialect speech recognition with a single sequence-to-sequence model,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Multi-dialect speech recognition with a single sequence-to-sequence model,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.958953Z

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 9b0bc379-8d2c-483d-abaf-4f8ad4c63302 · outbound

This paper cites Multi-dialect speech recognition in english using attention on ensemble of experts,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Multi-dialect speech recognition in english using attention on ensemble of experts,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.948819Z

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 8167bd77-c85d-4ebe-a24d-47dc0900bcc8 · outbound

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

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Wavlm: Large-scale self- supervised pre-training for full stack speech processing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.723374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716cfe03-0fb3-442c-9049-245d6aff0cd3 · outbound

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

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Hubert: Self-supervised speech represen- tation learning by masked prediction of hidden units,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.726713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be2b83c-d5b6-4c6a-acdd-c7196df6fdeb · outbound

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

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Robust speech recognition via large-scale weak supervision,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.730071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc6196fd-7e5b-4638-82c3-9ba663f4d6a4 · outbound

This paper cites wtimit whispered timit dataset,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition wtimit whispered timit dataset,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.915703Z

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 f52d3c34-3268-4ca5-a590-b987f8bc954c · outbound

This paper cites Acoustic analysis of consonants in whispered speech,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Acoustic analysis of consonants in whispered speech,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.905064Z

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 b776020f-0336-45ca-a896-51d2636d081e · outbound

This paper cites La- ryngeal adjustment in whispering: magnetic resonance imaging study,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition La- ryngeal adjustment in whispering: magnetic resonance imaging study,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.894509Z

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 bd8b54c9-73bb-40e4-a82c-872769e8dc83 · outbound

This paper cites Acoustic differences between voiced and whispered speech in gender diverse speakers,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Acoustic differences between voiced and whispered speech in gender diverse speakers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:19:59.883849Z

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 f736476c-e39d-4dea-83bf-601666351fed · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Lib- rispeech: an asr corpus based on public domain audio books,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.745826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44223e4c-b682-40b9-8e45-7b50687989da · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.749075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882bca90-7434-4f43-a582-00645041aa4c · outbound

This paper cites Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.752685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e2873c-942a-42b9-bb99-33a848072dd0 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.756520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05da14a7-142e-4e02-90c1-1a083138f265 · outbound

This paper cites Decoupled Weight Decay Regularization.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition Decoupled Weight Decay Regularization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:19:59.760069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415652aa-8cc6-4254-9525-79464aa22cee · outbound

This paper cites PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit.

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:19:59.799570Z

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 29b7e862-1586-40f1-b092-eaa59ece4617 · inbound