Paper Citation Record · LEDGER

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2606.02913.

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

pith.paper-citation-record.v1
2606.02913 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:23:00.921024Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T12:23:00.921024Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T01:16:24.561296Z

Reference resolution

48 of 48 outbound references displayed

verified exact4
verified fuzzy0
unresolved43
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c004b19d-3c82-4121-891b-ec09c9789681 · outbound

This paper cites an unresolved cited work.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc2861ac-2084-4112-b4ac-51364defd785 · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T01:16:24.562747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f4dde1dd-01e9-490c-ae35-33c3cc8cda31 · outbound

This paper cites an unresolved cited work.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Unresolved cited work

Reference 3

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T01:16:24.565884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 490ce62e-5b2a-4546-ad59-a58174ea1a19 · outbound

This paper cites Our analysis also shows that, for SE tasks, discriminative and GAN-based methods result in faster training times and can achieve better efficiency in terms of training data.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Our analysis also shows that, for SE tasks, discriminative and GAN-based methods result in faster training times and can achieve better efficiency in terms of training data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6dab42-6753-425e-84a2-d5abe634a07c · outbound

This paper cites DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2f9e39-153a-42af-ad89-79c3d8444152 · outbound

This paper cites Real- time denoising and dereverberation with tiny recurrent U-Net,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Real- time denoising and dereverberation with tiny recurrent U-Net,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b4471b-64ce-4ed7-9567-5a55aaf163c7 · outbound

This paper cites Ultra low complexity deep learning based noise suppression,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Ultra low complexity deep learning based noise suppression,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 256bc3fd-3dd6-4f60-b076-d2a905229f3f · outbound

This paper cites Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Learning complex spectral mapping with gated convolutional recurrent networks for monaural speech enhancement,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0537a5b2-9b4a-459b-b2d9-d421e31e6870 · outbound

This paper cites MetricGAN+: An improved version of MetricGAN for speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination MetricGAN+: An improved version of MetricGAN for speech enhancement,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4ca6fd-5440-4892-8047-b98aac6a9c24 · outbound

This paper cites Generative adversarial networks in speech enhancement: A survey,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Generative adversarial networks in speech enhancement: A survey,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72de2439-7fea-43f9-85fb-ac8951baaedb · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Speech enhancement and dereverberation with diffusion-based gener- ative models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 810e5301-168f-48c2-8655-b4f089cb2a9b · outbound

This paper cites Conditional latent diffusion-based speech enhancement via dual context learning,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Conditional latent diffusion-based speech enhancement via dual context learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a69414e-d7d3-4d9f-af6f-e7b0fcb86aa0 · outbound

This paper cites Bridging the gap between monau- ral speech enhancement and recognition with distortion-independent acoustic modeling,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Bridging the gap between monau- ral speech enhancement and recognition with distortion-independent acoustic modeling,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8ea175-3549-4d74-b761-f4c47ddfb9ba · outbound

This paper cites Leveraging discrimina- tive latent representations for conditioning gan-based speech enhance- ment,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Leveraging discrimina- tive latent representations for conditioning gan-based speech enhance- ment,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ab1beb-9115-4961-9a8d-23cf6439760e · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Universal score- based speech enhancement with high content preservation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5df4a9-c085-4643-8d05-e948fb14093c · outbound

This paper cites Investigating the design space of diffusion models for speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Investigating the design space of diffusion models for speech enhancement,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c6e3fd-f1a9-47da-823c-d4658c6c9ced · outbound

This paper cites GAN-based speech enhancement for low SNR using latent feature conditioning,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination GAN-based speech enhancement for low SNR using latent feature conditioning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb246e1-8997-4888-9651-20d5654752c4 · outbound

This paper cites In- vestigating RNN-based speech enhancement methods for noise-robust text-to-speech,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination In- vestigating RNN-based speech enhancement methods for noise-robust text-to-speech,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0bd3dc-22c1-4815-8200-7a63dff0a3d7 · outbound

This paper cites EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination EARS: An anechoic fullband speech dataset benchmarked for speech enhancement and dereverberation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d8c6862-1138-4ca7-8251-eeadfcb1c53f · outbound

This paper cites WHAM!: Extending speech separation to noisy environments,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination WHAM!: Extending speech separation to noisy environments,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff95e628-d90d-422c-93ea-73a45e910ffe · outbound

This paper cites CMGAN: Conformer-based met- ric GAN for speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination CMGAN: Conformer-based met- ric GAN for speech enhancement,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0529fc40-3cc8-4233-bdaf-27056a7811a0 · outbound

This paper cites MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination MetricGAN: Generative adversarial networks based black-box metric scores optimization for speech enhancement,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13960fb-5aa6-45f4-a203-47b7e334a556 · outbound

This paper cites Comparative analysis of discriminative deep learning-based noise reduction methods in low SNR scenarios,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Comparative analysis of discriminative deep learning-based noise reduction methods in low SNR scenarios,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a5a1f7-986b-4c75-9167-e9239671e6b1 · outbound

This paper cites Analysing diffusion-based generative approaches versus discriminative ap- proaches for speech restoration,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Analysing diffusion-based generative approaches versus discriminative ap- proaches for speech restoration,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c6be77-1238-4467-902c-a0173f64a757 · outbound

This paper cites Investigating training ob- jectives for generative speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Investigating training ob- jectives for generative speech enhancement,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 954c5b07-d951-4e29-a0f4-25d10080927d · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee284fc-3695-4f94-aca7-c081b424b9b2 · outbound

This paper cites Denoising diffusion probabilistic mod- els,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Denoising diffusion probabilistic mod- els,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cd3bb1d-62fd-4fe8-a167-4e7688dd1e5a · outbound

This paper cites Reducing the prior mismatch of stochastic differential equations for diffusion-based speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Reducing the prior mismatch of stochastic differential equations for diffusion-based speech enhancement,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076bb23c-7f34-42aa-aed3-646113180056 · outbound

This paper cites GALD-SE: Guided anisotropic lightweight diffusion for efficient speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination GALD-SE: Guided anisotropic lightweight diffusion for efficient speech enhancement,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120ba071-722b-48fc-942f-0a3a8f98d138 · outbound

This paper cites FlowSE: Flow matching-based speech enhancement,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination FlowSE: Flow matching-based speech enhancement,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca822b2-234d-4cb0-95a6-bd1db8f1b1ac · outbound

This paper cites Consistency mod- els,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Consistency mod- els,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d992e6a3-7a37-4817-9b42-dcd5880bb495 · outbound

This paper cites SE-Bridge: Speech Enhancement with Consistent Brownian Bridge.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination SE-Bridge: Speech Enhancement with Consistent Brownian Bridge

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:16:24.554651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7852d9c5-45d2-428f-b6a2-8a9ae77c0b68 · outbound

This paper cites Score-based generative modeling through stochastic dif- ferential equations,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Score-based generative modeling through stochastic dif- ferential equations,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aa2656c-c2c8-45a8-b32b-506da945c872 · outbound

This paper cites FunCodec: A fundamental, re- producible and integrable open-source toolkit for neural speech codec,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination FunCodec: A fundamental, re- producible and integrable open-source toolkit for neural speech codec,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be89f02b-9836-4885-b023-1b78bf92fb32 · outbound

This paper cites The Inter- Speech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination The Inter- Speech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f240cb-96cc-40c7-a00c-a0d1ac639ae3 · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013aba9d-4320-4cfa-8b4b-69c7830e0686 · outbound

This paper cites Objective measures for predict- ing speech intelligibility in noisy conditions based on new band- importance functions,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Objective measures for predict- ing speech intelligibility in noisy conditions based on new band- importance functions,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b261f0c9-5872-4256-8146-2907e74acf1a · outbound

This paper cites SDR–half- baked or well done?,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination SDR–half- baked or well done?,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04294d74-6657-4365-beee-27e5537478d7 · outbound

This paper cites DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppres- sors,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppres- sors,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cdb7ee-3e72-43ad-915e-593bb84e44f1 · outbound

This paper cites SCOREQ: Speech quality as- sessment with contrastive regression,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination SCOREQ: Speech quality as- sessment with contrastive regression,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2beb2d21-21fc-460c-bca1-bb7415ad69fa · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Robust speech recognition via large-scale weak super- vision,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb2db89-3024-4530-82d8-711642dcf0c3 · outbound

This paper cites From WER and RIL to MER and WIL: Improved evaluation measures for connected speech recognition.,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination From WER and RIL to MER and WIL: Improved evaluation measures for connected speech recognition.,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ff2e71e-4262-4522-8a81-5d5aaa13aeba · outbound

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

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Evaluation metrics for generative speech enhance- ment methods: Issues and perspectives,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 2026-08-11T06:34:44.6726+00:00.

Observation 9ff2d59c-5bff-4005-8aa6-993c474c766b · outbound

This paper cites Deep- Filternet2: Towards real-time speech enhancement on embedded de- vices for full-band audio,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Deep- Filternet2: Towards real-time speech enhancement on embedded de- vices for full-band audio,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7898777-e3a1-47c9-b5db-e8d765c6516e · outbound

This paper cites A hybrid approach for low-complexity joint acoustic echo and noise reduction,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination A hybrid approach for low-complexity joint acoustic echo and noise reduction,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca385825-3ee9-4172-ad00-0c44504a8d49 · outbound

This paper cites FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:16:24.558049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9c842e9-6e3d-4d70-8ce0-ee79e86a9c40 · outbound

This paper cites Blind audio bandwidth extension: A diffusion-based zero-shot approach,.

A Comparison of Generative and Discriminative Methods for Speech Enhancement: Robustness, Complexity, and Hallucination Blind audio bandwidth extension: A diffusion-based zero-shot approach,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T12:23:00.921024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cc2861ac-2084-4112-b4ac-51364defd785 · inbound