Paper Citation Record · LEDGER

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.24450.

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

pith.paper-citation-record.v1
2505.24450 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:20.194749Z

measured 39 of 39 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 2026-08-07T12:29:17.034821Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:29:21.144739Z

Reference resolution

38 of 38 outbound references displayed

verified exact2
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4ac41e5-6206-4e93-ac64-9a0e7584906b · outbound

This paper cites SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:29:21.301495Z

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 7997fcf4-3401-433c-ad04-c767099fd571 · outbound

This paper cites 1,Nspeakers are spontaneously grouped for daily conversation in a reverberant room.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition 1,Nspeakers are spontaneously grouped for daily conversation in a reverberant room

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:29.108854Z

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 9e3ade5e-921b-4f24-942c-f6f9d4ee31a2 · outbound

This paper cites GSS”, while systems M2-M4d refer to “GSS+FARNET.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition GSS”, while systems M2-M4d refer to “GSS+FARNET

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:28.711896Z

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 f458d148-b036-41e3-8e11-8482f06a6cbb · outbound

This paper cites GSS+MEASE.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition GSS+MEASE

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:28.565797Z

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 6ada7817-232d-46b2-a722-a9992c14331f · outbound

This paper cites GSS+FARNET.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition GSS+FARNET

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:29:28.374747Z

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 5352fb8f-2a76-4657-88b2-8e5196c8c19a · outbound

This paper cites GSS+FARNET.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition GSS+FARNET

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:28.257776Z

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 d70c6f28-5964-450e-8df9-4f956c27d6ec · outbound

This paper cites The fifth’chime’speech separation and recognition challenge: Dataset, task and baselines,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The fifth’chime’speech separation and recognition challenge: Dataset, task and baselines,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:27.116635Z

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 3eb966b9-46c7-492e-b2a7-63eece0c9540 · outbound

This paper cites Front-end processing for the chime-5 dinner party scenario,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Front-end processing for the chime-5 dinner party scenario,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:28.113868Z

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 30f9393a-7de6-4d1f-8937-bdf7d9295591 · outbound

This paper cites Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Fullsubnet: A full-band and sub-band fusion model for real-time single-channel speech enhancement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:27.916034Z

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 373d6766-1531-4948-9c31-bdcbd2f68ffa · outbound

This paper cites Efficient monaural speech enhancement with universal sample rate band-split rnn,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Efficient monaural speech enhancement with universal sample rate band-split rnn,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:27.644209Z

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 609268a9-ffe3-4333-8e64-459a8be0716e · outbound

This paper cites Cmgan: Conformer- based metric-gan for monaural speech enhancement,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Cmgan: Conformer- based metric-gan for monaural speech enhancement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:27.439989Z

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 fbf19992-2316-4de5-b38f-671feb60020c · outbound

This paper cites The multimodal information based speech processing (misp) 2023 challenge: Audio-visual target speaker extraction,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The multimodal information based speech processing (misp) 2023 challenge: Audio-visual target speaker extraction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:27.288055Z

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 0e34c8a4-c26d-4c5b-8337-56a997c0e4bd · outbound

This paper cites NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:17.940896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db1edff0-0d7a-467b-9ba3-7e7fe4c2ca70 · outbound

This paper cites An audio-quality-based multi-strategy approach for target speaker extraction in the misp 2023 challenge,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition An audio-quality-based multi-strategy approach for target speaker extraction in the misp 2023 challenge,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:25.300162Z

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 cbf650da-e3eb-4cb2-b41c-06163a940f86 · outbound

This paper cites Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:26.909497Z

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 4a89691e-0c2e-49da-a351-d501e2f15574 · outbound

This paper cites The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:18.363570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c5afa6-6d09-4da7-8f98-00e6491fd225 · outbound

This paper cites The first multimodal information based speech processing (misp) chal- lenge: Data, tasks, baselines and results,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The first multimodal information based speech processing (misp) chal- lenge: Data, tasks, baselines and results,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:26.604886Z

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 0a9938b2-898b-4064-959e-c620edb3299c · outbound

This paper cites The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:26.332135Z

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 99c48a31-75a1-4282-8d98-b77df2b00aea · outbound

This paper cites Ef- fects of lombard reflex on the performance of deep-learning-based audio-visual speech enhancement systems,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Ef- fects of lombard reflex on the performance of deep-learning-based audio-visual speech enhancement systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:26.074099Z

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 6ec0fe55-afe6-47eb-a4e0-176d71552ef1 · outbound

This paper cites an unresolved cited work.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:29:28.884039Z

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 a87b39ab-dfd8-4855-92ea-5691ca718df9 · outbound

This paper cites The chime- 7 udase task: Unsupervised domain adaptation for conversational speech enhancement,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The chime- 7 udase task: Unsupervised domain adaptation for conversational speech enhancement,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:25.646770Z

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 79255d04-36b1-40fb-afdb-bf9fad334010 · outbound

This paper cites Employing real training data for deep noise suppression,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Employing real training data for deep noise suppression,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:25.079889Z

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 9124aef1-2800-4df5-88bc-57b2a316fff4 · outbound

This paper cites Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:19.082238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b25b25aa-cb58-48c3-b32d-c23560052da5 · outbound

This paper cites SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition SuperM2M: Supervised and Mixture-to-Mixture Co-Learning for Speech Enhancement and Noise-Robust ASR

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:29:20.717248Z

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 188c3714-ee2c-409e-a1e5-f495acc01baa · outbound

This paper cites Pseudo-supervised deep subspace clustering,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Pseudo-supervised deep subspace clustering,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:24.798298Z

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 36e23e75-859d-4540-ae2f-72ad5dceeeb8 · outbound

This paper cites Gpu-accelerated guided source separation for meeting transcription,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Gpu-accelerated guided source separation for meeting transcription,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:24.564742Z

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 4f17a0c8-3a06-4115-aa77-d18ea367509b · outbound

This paper cites Relative transfer function identification using convolutive transfer function approximation,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Relative transfer function identification using convolutive transfer function approximation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:24.301062Z

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 b18f6659-5d32-4940-9738-0660305cd893 · outbound

This paper cites A consolidated view of loss functions for supervised deep learning-based speech enhancement,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition A consolidated view of loss functions for supervised deep learning-based speech enhancement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:24.075381Z

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 dc32f022-2c3d-4b1d-b0c9-2e8093caf181 · outbound

This paper cites The xmuspeech system for audio-visual target speaker extraction in misp 2023 challenge,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition The xmuspeech system for audio-visual target speaker extraction in misp 2023 challenge,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:23.835872Z

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 1b534621-ff4a-475c-95da-c80892f59a19 · outbound

This paper cites A deep ensemble learning method for monaural speech separation,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition A deep ensemble learning method for monaural speech separation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:23.654750Z

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 104ddd0e-a74d-4b74-b8bf-f02019deaf65 · outbound

This paper cites Densely connected neural network with dilated convolutions for real-time speech enhancement in the time domain,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Densely connected neural network with dilated convolutions for real-time speech enhancement in the time domain,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:23.274767Z

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 e51c02d6-5f83-4298-b925-5671f594ae9f · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:19.630458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d760db6-8180-4317-b159-e0d93e827375 · outbound

This paper cites Convolutive predic- tion for monaural speech dereverberation and noisy-reverberant speaker separation,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Convolutive predic- tion for monaural speech dereverberation and noisy-reverberant speaker separation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:22.904767Z

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 c07e66a2-2170-48b6-b4ff-226ad9982397 · outbound

This paper cites Blind separation of speech mixtures via time-frequency masking,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Blind separation of speech mixtures via time-frequency masking,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:22.604749Z

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 0e4fb52d-f9f7-4501-8979-7842e9593aa4 · outbound

This paper cites Improving audio-visual speech recognition by lip-subword correlation based visual pre-training and cross-modal fusion en- coder,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Improving audio-visual speech recognition by lip-subword correlation based visual pre-training and cross-modal fusion en- coder,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:22.294752Z

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 71117ceb-bd77-45a5-92bb-e60c38aef042 · outbound

This paper cites Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:21.991353Z

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 15a300d6-90e7-48db-b6a1-f977eb9e4f68 · outbound

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

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Robust speech recognition via large-scale weak supervision,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:29:20.126841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04eb5482-e607-44c5-9ac2-3daa405162b3 · outbound

This paper cites Sir- progressive audio-visual tf-gridnet with asr-aware selector for tar- get speaker extraction in misp 2023 challenge,.

SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Sir- progressive audio-visual tf-gridnet with asr-aware selector for tar- get speaker extraction in misp 2023 challenge,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:29:21.735072Z

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 b4ac41e5-6206-4e93-ac64-9a0e7584906b · inbound