Paper Citation Record · LEDGER

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2505.23515.

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

pith.paper-citation-record.v1
2505.23515 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:33.547067Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:28.894583Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:16:24.559250Z

Reference resolution

40 of 40 outbound references displayed

verified exact2
verified fuzzy19
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 064e6b21-a762-480e-b47e-7243cde4d855 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:40.302562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29a656b0-7a09-43ee-9b16-6feeddfbd5c5 · outbound

This paper cites DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:28.894583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808e07bd-a16a-42e7-b30b-5a7ddf2b94ab · outbound

This paper cites Our system aims to enhance the performance of the first-stage model, DeepFilterNet2 [11], by incorporating a GAN-based second stage.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Our system aims to enhance the performance of the first-stage model, DeepFilterNet2 [11], by incorporating a GAN-based second stage

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:39.862899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6a903c8-c6a7-4436-a600-bc91a587f17f · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:38.395666Z

Source-reported events for the cited work

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Observation fcd0b0f9-5bd8-479f-8f31-9d074ccb5592 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:39.574312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 39180c3a-4258-4a91-9c20-c70a17706dd6 · outbound

This paper cites As a result, the generator learns the clean speech distribu- tion conditioned on the noisy speech and the intermediate en- hanced speech, i.e.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration As a result, the generator learns the clean speech distribu- tion conditioned on the noisy speech and the intermediate en- hanced speech, i.e

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:39.215223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9c310de-0462-43ab-a959-76fb2db86c53 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:38.952208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d52ab21e-cec0-49c8-b51e-41497635ff78 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:38.769825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 68543d75-c5e3-41eb-a554-1add05508fed · outbound

This paper cites In addition to the output speech quality, another aspect of speech enhancement models is the deployment requirements.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration In addition to the output speech quality, another aspect of speech enhancement models is the deployment requirements

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:40.059977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe00eec7-c979-4779-b904-d405e5533512 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:38.590745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf6db6bd-3ecf-44b4-9c68-3383e0ea280a · outbound

This paper cites DeepFilterNet2: Towards real-time speech enhancement on em- bedded devices for full-band audio,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration DeepFilterNet2: Towards real-time speech enhancement on em- bedded devices for full-band audio,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:36.095503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fba3ffa8-af48-48ab-ad35-1fcbba48b783 · outbound

This paper cites an unresolved cited work.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:48:38.088471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 234e05fe-dbde-4a63-8745-19346251d8a9 · outbound

This paper cites The discriminator learns to distinguish real clean speech from enhanced speech, while the generator refines its output to resemble clean speech more closely.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration The discriminator learns to distinguish real clean speech from enhanced speech, while the generator refines its output to resemble clean speech more closely

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:38.245524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 756abd66-a4c5-4cb7-afa6-97daff51694a · outbound

This paper cites The generative capabilities of the second stage and conditioning on the noisy speech along with the output of the first stage recover the over-suppressed speech content.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration The generative capabilities of the second stage and conditioning on the noisy speech along with the output of the first stage recover the over-suppressed speech content

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:37.854647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a03d0fbf-5eeb-47b8-8d1f-4461695eda56 · outbound

This paper cites High Fidelity Speech Enhancement with Band-split RNN.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration High Fidelity Speech Enhancement with Band-split RNN

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:30.428760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cabfcc90-97c1-4b57-bdca-a9e62579ded7 · outbound

This paper cites D2former: A fully complex dual-path dual- decoder conformer network using joint complex masking and complex spectral mapping for monaural speech enhancement,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration D2former: A fully complex dual-path dual- decoder conformer network using joint complex masking and complex spectral mapping for monaural speech enhancement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:37.500537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48c62622-a1ea-4ad7-a9a0-800413a8d451 · outbound

This paper cites CMGAN: Conformer-based Metric GAN for Speech Enhancement,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration CMGAN: Conformer-based Metric GAN for Speech Enhancement,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:37.226396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fe6b8d4-549e-48ff-991e-250803489493 · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based generative models,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Speech enhancement and dereverberation with diffusion-based generative models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:30.869386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb64149-04ea-4ceb-964d-a464810e87ab · outbound

This paper cites Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Storm: A diffusion-based stochastic regeneration model for speech en- hancement and dereverberation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:36.931992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54396bcc-89b3-40bb-964d-4b57873e2a27 · outbound

This paper cites Universal score-based speech enhancement with high content preservation,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Universal score-based speech enhancement with high content preservation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:36.625301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb702ae1-487e-49ad-b7fe-462de6401652 · outbound

This paper cites Performance measure- ment in blind audio source separation,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Performance measure- ment in blind audio source separation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:34.974683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7fa753c-c872-45d0-9345-a907ff976842 · outbound

This paper cites Schr ¨odinger bridge for generative speech enhancement,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Schr ¨odinger bridge for generative speech enhancement,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:36.456492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52320d67-8a17-4cc1-bc84-076c14f51783 · outbound

This paper cites Pfgm++ combined with stochastic regener- ation for speech enhancement,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Pfgm++ combined with stochastic regener- ation for speech enhancement,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:36.274213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0cfa7619-a7b9-4eca-b4de-d4469a99f3fe · outbound

This paper cites Spectral oversubtraction? An approach for speech enhancement after robot ego speech filtering in semi-real-time.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Spectral oversubtraction? An approach for speech enhancement after robot ego speech filtering in semi-real-time

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:48:34.191945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5656163-4289-440e-b3da-3b9b24e1e4f0 · outbound

This paper cites Combined Generative and Predictive Modeling for Speech Super-resolution.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Combined Generative and Predictive Modeling for Speech Super-resolution

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:48:33.936459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5f969dfb-d731-46f2-b892-396374f8d1ca · outbound

This paper cites Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:31.760957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c596ae-ff50-41ae-9bec-bebdb250c192 · outbound

This paper cites MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:31.846616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca81ff82-866e-4bae-9696-0aa7c676bc68 · outbound

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

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:31.922303Z

Source-reported events for the cited work

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Observation d73ec8a9-596f-4425-a51e-fd8d9921dd75 · outbound

This paper cites Ur- gent challenge: Universality, robustness, and generalizability for speech enhancement,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Ur- gent challenge: Universality, robustness, and generalizability for speech enhancement,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:35.903975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f7cbd6e-b5ea-421f-95ac-f9358703a97b · outbound

This paper cites Interspeech 2025 URGENT speech enhancement challenge,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Interspeech 2025 URGENT speech enhancement challenge,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:32.105782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8fbb690-b5fc-44f0-b6d1-03bb97eec239 · outbound

This paper cites Investigating rnn-based speech enhancement methods for noise- robust text-to-speech,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Investigating rnn-based speech enhancement methods for noise- robust text-to-speech,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:35.679676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f23cf88-2bfa-49f5-a696-4c85a03e44b1 · outbound

This paper cites Icassp 2022 deep noise suppression challenge,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Icassp 2022 deep noise suppression challenge,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:35.499717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d3431b7-4ed1-4225-9544-213f28c49617 · outbound

This paper cites Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:35.315454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f795aab4-dd75-4fb7-8873-8f5606ff15f3 · outbound

This paper cites Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Perceptual eval- uation of speech quality (pesq)-a new method for speech quality assessment of telephone networks and codecs,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:35.160311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17353702-8d78-4aea-a7a7-c4a54f008f45 · outbound

This paper cites Distance measures for speech process- ing,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Distance measures for speech process- ing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:48:34.785597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9dc666ac-8045-4664-8ad9-8e07cf48145c · outbound

This paper cites An algorithm for predicting the in- telligibility of speech masked by modulated noise maskers,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration An algorithm for predicting the in- telligibility of speech masked by modulated noise maskers,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:33.378836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39cdba9c-21e1-436f-9527-60d8b2e115eb · outbound

This paper cites Evaluation metrics for generative speech en- hancement methods: Issues and perspectives,.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Evaluation metrics for generative speech en- hancement methods: Issues and perspectives,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:33.547067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819db4a2-9f32-4293-bdd8-174450a2d698 · outbound

This paper cites ICASSP 2022 Deep Noise Suppression Challenge.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration ICASSP 2022 Deep Noise Suppression Challenge

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:32.486981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f68082-e86e-4398-9c5f-12af5058c009 · outbound

This paper cites D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:48:34.456121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71241326-3e2a-4e42-9708-913eec006061 · outbound

This paper cites Universal Score-based Speech Enhancement with High Content Preservation.

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration Universal Score-based Speech Enhancement with High Content Preservation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:31.102006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 29a656b0-7a09-43ee-9b16-6feeddfbd5c5 · inbound