Paper Citation Record · LEDGER

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.24446.

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

pith.paper-citation-record.v1
2505.24446 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:30:37.358858Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:30:33.191440Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:30:37.561387Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy17
unresolved22
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e086a301-6884-4aed-9048-d373e01098ca · outbound

This paper cites an unresolved cited work.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:30:40.728451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0baad087-ec5b-4a9d-9faf-9347e3748b26 · outbound

This paper cites Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:30:37.628141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88aa6d18-1c61-4945-99d2-8e1dad08c2bf · outbound

This paper cites GSS+G-SpatialNet.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge GSS+G-SpatialNet

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:40.585357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0f03dd5-1dc2-49f1-823b-d22f35f89e62 · outbound

This paper cites Speech enhancement For G-SpatialNet training, we use only the audio data of MISP- Meeting training set.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Speech enhancement For G-SpatialNet training, we use only the audio data of MISP- Meeting training set

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:40.474508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05ef510e-2257-4d1e-8e01-cc74be98b1ef · outbound

This paper cites Speech enhancement: TLS and G-SpatialNet Fig.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Speech enhancement: TLS and G-SpatialNet Fig

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:30:40.312656Z

Source-reported events for the cited work

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Observation cac23929-d5b6-44ff-8e4b-b60ea6de3646 · outbound

This paper cites We proposed a novel framework, TLS, which gen- erates high-quality pseudo labels for real-world meeting data, enabling the direct training of SE models in real-world scenar- ios.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge We proposed a novel framework, TLS, which gen- erates high-quality pseudo labels for real-world meeting data, enabling the direct training of SE models in real-world scenar- ios

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:40.183988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f75f8690-7494-45b3-8e5a-f0097c7eeb51 · outbound

This paper cites an unresolved cited work.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:30:40.051630Z

Source-reported events for the cited work

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Observation fd00500a-cfd2-444c-bab2-6e34e2750ee0 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The first multimodal information based speech processing (misp) chal- lenge: Data, tasks, baselines and results,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.055974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c8b1eca-66c1-4847-b629-37e5c63ae2bb · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The mul- timodal information based speech processing (misp) 2022 chal- lenge: Audio-visual diarization and recognition,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.249821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c89daf59-499e-4c73-8329-05e78a3f7786 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The multimodal information based speech processing (misp) 2023 challenge: Audio-visual target speaker extraction,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.448469Z

Source-reported events for the cited work

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Observation 77534a2a-7df3-4fd9-8c78-1767047bba86 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Front-end processing for the chime-5 dinner party scenario,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.562630Z

Source-reported events for the cited work

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Observation 7c2f5306-f406-4c2d-b5ca-2874bc0cd2a4 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Gpu-accelerated guided source separation for meeting transcription,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.658833Z

Source-reported events for the cited work

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Observation aaea91ec-fddd-410b-ab0e-178c6ed4e591 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.733183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2bc6e74-be33-4ac6-847c-86e91fb657f1 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.836786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06536cf9-065f-4b4b-baab-5fcd5ad6c7c2 · outbound

This paper cites The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:34.936099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92dcfdc3-af3d-40a7-8c6f-c67dfb21b154 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge NOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:35.016211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0478ca83-f839-49e0-84d8-9a49f65c3d27 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The chime- 7 udase task: Unsupervised domain adaptation for conversational speech enhancement,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:35.115350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da5c48f-4e35-4350-a93b-3a0c06312abe · outbound

This paper cites Mixture to mixture: Leveraging close-talk mixtures as weak-supervision for speech separation,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Mixture to mixture: Leveraging close-talk mixtures as weak-supervision for speech separation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.825392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c1465f9-5da6-49c6-9ba1-6a59dfbc6635 · outbound

This paper cites Unssor: unsupervised neural speech separation by leveraging over-determined training mix- tures,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Unssor: unsupervised neural speech separation by leveraging over-determined training mix- tures,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.713295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1d5b34c6-e3a1-4e74-bd53-114ab4a38863 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:35.308901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01dc8897-efe5-4a11-86b7-106beb3ce534 · outbound

This paper cites Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.554595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 89a96892-47a6-4105-b1af-e058696cf403 · outbound

This paper cites Speech dereverberation based on variance-normalized de- layed linear prediction,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Speech dereverberation based on variance-normalized de- layed linear prediction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.414404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc7b0625-2350-4b4d-945f-7b7f8c16a51e · outbound

This paper cites Complex angular central gaus- sian mixture model for directional statistics in mask-based mi- crophone array signal processing,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Complex angular central gaus- sian mixture model for directional statistics in mask-based mi- crophone array signal processing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.289492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ceb2b44-1b71-4a3f-9c0a-8e04a957d3d3 · outbound

This paper cites On optimal frequency- domain multichannel linear filtering for noise reduction,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge On optimal frequency- domain multichannel linear filtering for noise reduction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:39.158420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f81d9d0-9d7e-46d6-b37d-7af21374bbda · outbound

This paper cites Improved mvdr beamforming using single-channel mask prediction networks.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Improved mvdr beamforming using single-channel mask prediction networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.925746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 528a73af-2815-4c12-97be-4f5abee422f4 · outbound

This paper cites Spatialnet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Spatialnet: Extensively learning spatial in- formation for multichannel joint speech separation, denoising and dereverberation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.760348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d55be7e7-cb0f-42d6-9ecd-20df419773d7 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The xmuspeech system for audio-visual target speaker extraction in misp 2023 challenge,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.031594Z

Source-reported events for the cited work

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Observation 28906618-6b33-4427-925a-765623af4fbf · outbound

This paper cites Phase- sensitive and recognition-boosted speech separation using deep recurrent neural networks,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Phase- sensitive and recognition-boosted speech separation using deep recurrent neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.556755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8db3ae9a-a524-4205-9ca4-1595c0cb0bf2 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge The fifth’chime’speech separation and recognition challenge: Dataset, task and baselines,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.238313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1bb983-7646-4524-9f8a-d811de2fbd73 · outbound

This paper cites M2met: The icassp 2022 multi- channel multi-party meeting transcription challenge,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge M2met: The icassp 2022 multi- channel multi-party meeting transcription challenge,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.317225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb25eaf6-d172-45a3-ac90-8b72ad48775d · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to eval- uate noise suppressors,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.460559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 227ce695-6ba4-4329-9fff-2eb6789b77c8 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Robust speech recognition via large-scale weak supervision,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.557559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af971e3-f9ee-4b52-bbd2-63dc77428dbe · outbound

This paper cites Robust localization in reverberant rooms,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Robust localization in reverberant rooms,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.372043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd07b7f5-23d1-4535-bd07-7f012c7c1029 · outbound

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

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Convolutive predic- tion for monaural speech dereverberation and noisy-reverberant speaker separation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.736817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0e357c-1846-48bd-9b2c-5366be07f668 · outbound

This paper cites Supervised speech separation based on deep learning: An overview,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Supervised speech separation based on deep learning: An overview,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:36.811669Z

Source-reported events for the cited work

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Observation 7c2d1981-9fd9-46ca-9842-56f8dec17ffe · outbound

This paper cites A simultane- ous denoising and dereverberation framework with target decou- pling,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge A simultane- ous denoising and dereverberation framework with target decou- pling,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.247147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b021024e-6bd0-41af-95c7-4175d0ef24a4 · outbound

This paper cites Cif: Continuous integrate-and-fire for end- to-end speech recognition,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Cif: Continuous integrate-and-fire for end- to-end speech recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.151024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48393f72-73bc-4155-a2d0-9112d4fdac34 · outbound

This paper cites Glancing Transformer for Non-Autoregressive Neural Machine Translation.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Glancing Transformer for Non-Autoregressive Neural Machine Translation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:37.126709Z

Source-reported events for the cited work

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Observation 1ef82e78-35fe-4881-91a0-74aa41d679dd · outbound

This paper cites Aishell-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Aishell-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:38.011386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36285c20-a811-4f59-bba0-2c2a572fe025 · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:30:37.815144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20ba5e4b-8a6c-45a4-b627-74fb13feaee1 · outbound

This paper cites WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition.

Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:30:37.358858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0baad087-ec5b-4a9d-9faf-9347e3748b26 · inbound