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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:28.583926Z digest=sha256:383794a68389db7e1060c2ad772d6da94530927046eb221a4a42426e42308336

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:28.894583Z digest=sha256:9e07a0cb031f322301e99fb9b6a56e419b6b1e3ff99e3d5ba23b65af7556bb93

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.067276Z digest=sha256:195fb9939dbb47e0aac314d6044c8a3c48b1d5f6e7c355469214e6bf16039385

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.023796Z digest=sha256:fc7fbc0d29dbecc62580354d0923e730311f6cbbc0878ab82d42aff2106c765b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.246440Z digest=sha256:b3e1788a7b328e5cd58e912ecb46a72c306adbd2ae5cfcd95bfc2bfafdc3c675

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.401681Z digest=sha256:3b630eb0d77a9959cd31484be2b31a2f53fdd4a6d39f49fcf6c268a5b039f80e

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.569247Z digest=sha256:607ce80cca292493360a04e82c47dbee6ae1f68830abe42890b461b195199218

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.743154Z digest=sha256:eb96edc4e72301fd1460edee5661cb70ca2642cf363db918aa7f3e50374d2b1e

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:28.707983Z digest=sha256:058f001f600e0d8df605a3500bf8a14434d4d6a5f1144405e4cb88b7156d5297

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:29.882926Z digest=sha256:9c1c8ea9fdaa60013468c94caaa72ab00cab866a575f72c11734b5c6a2df8d63

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.671435Z digest=sha256:0c5b93c1d21a3be9be3fc9e70a457b2c606f0d51030bc2c29228de122d4a38a7

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

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.227250Z digest=sha256:ab135abd88c9f4243f9f194c0c60d443ec73544f7d7a8e9ffb9a69d77203c6ae

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.126667Z digest=sha256:d97b4dcb1edbed3097208fe8a4062621616e13939b2b9e8dcf8dae8e4a633958

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.323711Z digest=sha256:6e0ac7fb063a381a85ddaf7a824ec1c5d07803d30800bd5b35993012edd23b08

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:30.428760Z digest=sha256:41107b8ea63025dc5b4fdd82b7ba002a8b6b2892992f9665ba86266344d4cd0f

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.526847Z digest=sha256:1ee9c5207f5cd954fae69a8aadeceda9051df4f27b74c71f4f4b43a8fbd47b10

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
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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.763156Z digest=sha256:9eea5c1bf60719f07d5af6af4f0407c45606f5b24e3c025111f42f22f0f22715

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:30.869386Z digest=sha256:cced0375232cc59c9786ffb3048146bc234b9dd9c677729727f98775c9031370

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.934050Z digest=sha256:1903d524b8111475cdd6984d69558eb9917dfeaf57c10a6da5cd347cc35021c7

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.023009Z digest=sha256:bfe5a0ccaae47c5f84a9c74f90f4f99ba46b20cccb396010f2cb7874b86edd8b

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.929322Z digest=sha256:61f446de9cd45e5a17968e45c473048ad45bfcb36b1498c46e99cb8373f4ed1f

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.215787Z digest=sha256:838103dc2dfcd9697947db941ed82fedf812c3fae93348c7b3e0848213d25e2c

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.397040Z digest=sha256:16d3b56e2923e206a092e15e3f3c3f2b52712434af235c6ae9a21f5f4b969adf

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.500109Z digest=sha256:83663fdb2cc204e61f78f61f115b430e7a28432c085c671be4a2ef0ae97b2449

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:31.605167Z digest=sha256:a4fc0cdcb396da1531c93dda9a31676cd9d9f76765802d721b1c7553f19a8855

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:31.760957Z digest=sha256:429715fb02846ea4911c59833792a4121bb50b82ea77e401bafb620951a12e82

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:31.846616Z digest=sha256:53884b0d96aa4605f69e7740e21cb606aa712fc4eced53aaa01d8a061de89748

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:31.922303Z digest=sha256:819fbbc73e6336bae65b99882cac86eba1bd4a93b20f06b70b71d6bd766cd382

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.031288Z digest=sha256:bd228c8cd18adc4900a568767880b5160024300cfd2b7b67cd4b5ac3a32c3186

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:32.105782Z digest=sha256:649efccfcb96c3f39efe532216d95df9af80649c37670f819949f1e7371d50ae

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.199562Z digest=sha256:77eb4e89f758690825f4d2783eab35c8067173e5eae6b29dd4d2a6af1dd84575

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.339220Z digest=sha256:64f0b18c213cd52da5e123fc1b0f49ded18ef5567c0d226cbbbd8c7f038b7e65

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.615607Z digest=sha256:217999ffc038fa91a164e17ce1ea968f40e889a19edaf5f605f1cca696f48c89

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:32.790838Z digest=sha256:88410acc177a7ba1faf652d465ade908b122d9f6fc4cb4045746d17f77e57681

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:33.155128Z digest=sha256:22ac18e8964acc782c655de335c1dad78f0d2e28dd25069e5210a39aa862114a

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.

source=pdf_text observed=2026-08-07T12:48:33.378836Z digest=sha256:5f280d0b83db985b294b7887060e647f57625fb081ef531bfb66c5282b1d96a3

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.

source=pdf_text observed=2026-08-07T12:48:33.547067Z digest=sha256:2bfa6be6126916e5d8f88a60fd5b5c73824b54fbaf3d155efe77857d2a1bdbb4

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.

source=pdf_text observed=2026-08-07T12:48:32.486981Z digest=sha256:db246fb0f111bee3aabf4cbebf34b945062031ae38b4fecb299df026e99596c9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T12:48:30.623690Z digest=sha256:0a0fbf10a2138d6a858d8b9e418d898ea2c1cf6e40a57abea9c939025f874494

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.

source=pdf_text observed=2026-08-07T12:48:31.102006Z digest=sha256:a0bdd00dc0cf9c3633ac873999aff2fcedb7927eb0cdd6abc4d5a41bc9f48cbe

Pith citing papers

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

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

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.

source=pdf_text observed=2026-08-07T12:48:28.894583Z digest=sha256:9e07a0cb031f322301e99fb9b6a56e419b6b1e3ff99e3d5ba23b65af7556bb93

Observation 197fbee4-4cea-4737-83b0-922f84157517 · inbound

Leveraging Discriminative Latent Representations for Conditioning GAN-Based Speech Enhancement cites this paper.

Leveraging Discriminative Latent Representations for Conditioning GAN-Based Speech Enhancement DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T14:48:36.957685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:48:36.957685Z digest=sha256:b7346e358cade7ab3db4d74653519b8f3cb430c9036ecfd5c27f5caa157395ac

Observation 56f8a289-1e8c-4cdb-9cee-942c213e0ab6 · inbound

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination cites this paper.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:16:24.560655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T12:23:00.921024Z digest=sha256:864d4cb7ce48059c652e1d2039113dd26b007dacbcaf40cba754adb376fa7264