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Paper Citation Record · LEDGER

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.10525.

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

pith.paper-citation-record.v1
2501.10525 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:13:35.430253Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy24
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c190629-d4db-4bf3-b559-929c08b79e0b · outbound

This paper cites Marketrak viii: The efficacy of hearing aids in achieving compensation equity in the is workplace,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Marketrak viii: The efficacy of hearing aids in achieving compensation equity in the is workplace,

Reference 1

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raw_fallback, observed 2026-08-10T19:13:36.769849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1f73bc4f-f724-4564-be89-df9410ca5622 · outbound

This paper cites Some experiments on the recognition of speech, with one and with two ears,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Some experiments on the recognition of speech, with one and with two ears,

Reference 2

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raw_fallback, observed 2026-08-10T19:13:36.757091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:34.873945Z digest=sha256:fc0fd4764c8254c011f07e34efdc0d518b9dad45f769f22cd7785ee51d0c95cb

Observation 2b3dceb0-277c-4f98-84bf-cef6becbfe91 · outbound

This paper cites Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:34.948437Z digest=sha256:cc6d8e741eb496352b348b2df2f08e7dac633591eb21435d226b6aa2d5a2e0fe

Observation 5a15e569-ca87-4624-98e5-5480f9d2307a · outbound

This paper cites SEGAN: Speech Enhancement Generative Adversarial Network.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids SEGAN: Speech Enhancement Generative Adversarial Network

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:34.987567Z digest=sha256:c1ced78c2c43fe27a42eac4c85cc631215ccd41f9bd0427475647f6fb65b3360

Observation 08ceb4d5-3751-477a-92bd-803f75ad6d25 · outbound

This paper cites Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance

Reference 5

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local_arxiv, observed 2026-08-10T19:13:35.485558Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:34.992030Z digest=sha256:083e946a8754084139f233b51737f0e9f36fb70ac500a02dcfca33d5d09ccb32

Observation c08f26ec-2767-4d3e-b41b-62f4bfcce0bb · outbound

This paper cites DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:34.995901Z digest=sha256:e7f4c7afdd911144d372e7fefed06045219e7df03bcfa58dfc9706d7bed2b9cc

Observation 9204a400-f648-47e3-83ff-28c3b81e1e21 · outbound

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

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Ultra low complexity deep learning based noise suppression,

Reference 7

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raw_fallback, observed 2026-08-10T19:13:36.567817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.000962Z digest=sha256:a9f6949d4815a51c89184c49f19e0f02403588f1c1cdb735ac5587e2f692e08d

Observation e73ae413-1024-48bc-89e8-c4ca1f6ce39d · outbound

This paper cites Low latency speech enhancement for hearing aids using deep filtering,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Low latency speech enhancement for hearing aids using deep filtering,

Reference 8

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raw_fallback, observed 2026-08-10T19:13:36.519500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.021019Z digest=sha256:b5b815ab60ba27a76dcfc08771bf56f704c11c7f8af57e319a841c6f5d66b8a9

Observation df8ef426-80ff-4fb6-bce2-a0e07f8b058a · outbound

This paper cites Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Conv-tasnet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.072397Z digest=sha256:117d770919c8b4a7c79e5c9e8c375588e4b30ad7cf4da48ff83667af97487486

Observation 89f058d0-c880-4889-a86a-b56229482d9c · outbound

This paper cites A perceptually-motivated approach for low-complexity, real- time enhancement of fullband speech,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids A perceptually-motivated approach for low-complexity, real- time enhancement of fullband speech,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.134787Z digest=sha256:2d2218ec306b6d0f19c3b468c17d9c7608f6743415da106589be7565b85d7468

Observation 461af3bb-1510-4877-a305-4d63d9cceb1e · outbound

This paper cites A hybrid dsp/deep learning approach to real-time full-band speech enhancement,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids A hybrid dsp/deep learning approach to real-time full-band speech enhancement,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.167912Z digest=sha256:50c321d71d5aaa0ff100b2eca291ab88654c17f4d964dd68e5d0c3f7158cba18

Observation 98959125-9e8e-4288-a3f7-51750cb49982 · outbound

This paper cites Deepfil- ternet: A low complexity speech enhancement framework for full-band audio based on deep filtering,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deepfil- ternet: A low complexity speech enhancement framework for full-band audio based on deep filtering,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.172884Z digest=sha256:634b623f5accfc6825f01e06b24b095a6f9e3da2545921a3d756d09e58ecf37d

Observation 6bc74e61-1101-4354-bb78-bda7658b0814 · outbound

This paper cites Deep- filternet: Perceptually motivated real-time speech enhancement,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deep- filternet: Perceptually motivated real-time speech enhancement,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.177017Z digest=sha256:1cd5ff141b6847c6e106c44380160874ebbb7047e0119fa3315612653a3792a5

Observation c189773a-039d-43ec-9938-d63c431cdc08 · outbound

This paper cites Deep multi-frame filtering for hearing aids,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deep multi-frame filtering for hearing aids,

Reference 14

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raw_fallback, observed 2026-08-10T19:13:36.286198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.182576Z digest=sha256:89f1f24e5ce8bfcc31accf2b3a82a281421698b330229236484ee30c6a03aed0

Observation 81a16a59-621c-47cf-8426-a2effd0191b7 · outbound

This paper cites A simultaneous denoising and dereverberation framework with target decoupling,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids A simultaneous denoising and dereverberation framework with target decoupling,

Reference 15

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raw_fallback, observed 2026-08-10T19:13:36.138360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.187253Z digest=sha256:f2b9b4a513705c76fcd49d255bba486124d791b6a05d28bdd5a9368c902e6546

Observation dc998c70-5263-4886-9779-d7df7b15c7df · outbound

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

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Supervised speech separation based on deep learning: An overview,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.191322Z digest=sha256:1ecec13d766ef0a90e1372f42d6b74ad4f564374c6ad8bb3a3872b106e4197cc

Observation fc9f4522-fad5-4bb4-a677-a94739104a08 · outbound

This paper cites Scaling speech enhancement in unseen environments with noise embeddings,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Scaling speech enhancement in unseen environments with noise embeddings,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.194905Z digest=sha256:e76703375ffd526acf4be429b5ec31e00615d0645afd5e1b777adf82c661b76a

Observation 22842549-ac11-4063-8ef1-8a95ca4a3f1e · outbound

This paper cites N-hans: A neural network-based toolkit for in-the-wild audio enhancement,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids N-hans: A neural network-based toolkit for in-the-wild audio enhancement,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.198188Z digest=sha256:e34eed39c6de85f499f4f64d53c05614b5823393d05a980b599dc4ade91e7165

Observation a9aef382-8c27-424f-b501-318f350de26f · outbound

This paper cites Complex ratio masking for monaural speech separation,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Complex ratio masking for monaural speech separation,

Reference 19

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raw_fallback, observed 2026-08-10T19:13:36.092890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.201205Z digest=sha256:7ccec25029c1554e0ff10924b39d69ac9b4b69d51b2f77ba835b2341212955dc

Observation 11a0fc67-bdb0-45d6-aea5-4a48be78a729 · outbound

This paper cites Deep denoising for hearing aid applications,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deep denoising for hearing aid applications,

Reference 20

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raw_fallback, observed 2026-08-10T19:13:36.077627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.205632Z digest=sha256:63aeef989f9975f48769f20d0d708f2ffca4a4182c355280b97f5c4c1f42adc6

Observation 7f71bb68-da42-4d9f-a3a2-247f663a9400 · outbound

This paper cites Lightweight online noise reduction on embedded devices using hierar- chical recurrent neural networks,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Lightweight online noise reduction on embedded devices using hierar- chical recurrent neural networks,

Reference 21

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raw_fallback, observed 2026-08-10T19:13:36.063338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.210957Z digest=sha256:af94254cd96ba94a9d0e1a85103fecdf7fab2aa156fe4d9d663b6d0e64997165

Observation 56a865ea-63ef-4242-b80f-bf8389fafb2b · outbound

This paper cites Deep filtering: Signal extraction and recon- struction using complex time-frequency filters,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deep filtering: Signal extraction and recon- struction using complex time-frequency filters,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.216056Z digest=sha256:e32f424f62353613fd23a12f20bf24759c33226e6e976c1f512b45b47194241d

Observation 6d920941-4fbc-4c91-b965-f3f8939e4a26 · outbound

This paper cites A multi-frame approach to the frequency- domain single-channel noise reduction problem,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids A multi-frame approach to the frequency- domain single-channel noise reduction problem,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.219366Z digest=sha256:faee31edebca90d6fb3458913a1c6feae693c17048b5385fd714d98043268136

Observation 06ba045d-8815-4175-8c63-6604625220a4 · outbound

This paper cites Uniform polyphase filter banks for use in hearing aids: design and constraints,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Uniform polyphase filter banks for use in hearing aids: design and constraints,

Reference 24

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raw_fallback, observed 2026-08-10T19:13:35.885225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.254979Z digest=sha256:1cdab7992de5ba0c8a3039b6b5ab7cfb274b1f7e3097c60ee35a04bc9c05179e

Observation f506cc3a-ef8a-4331-a41f-d80549f3c755 · outbound

This paper cites Deep- filternet2: Towards real-time speech enhancement on embedded devices for full-band audio,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Deep- filternet2: Towards real-time speech enhancement on embedded devices for full-band audio,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.313023Z digest=sha256:c56fa1274cbb7fee9da272d5cf3167bedcad68a80e8be8a54d4f7a634f459b04

Observation 3c1e4e69-d44c-4c18-9a6c-561d531180ce · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Panns: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.322925Z digest=sha256:5fd3d43858bac0265c7e769f4635aa7155fa7047e314347086f2b29be511aa01

Observation 8e9d28e1-ad0b-43da-a375-acce3273a9f9 · outbound

This paper cites Attention is all you need,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Attention is all you need,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.326787Z digest=sha256:8e14589ae4a652f97a0278691cbc7a64bd4d49bff87d70ea495b71fd31865b74

Observation 1b84b2c7-89b5-4964-9b7e-00fd3b55a77f · outbound

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

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids The interspeech 2020 deep noise suppression challenge: Datasets, subjective testing framework, and challenge results,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.330914Z digest=sha256:92370f92e23839841d1f10465ad4a3520e69b871cbc0c3715b4aab29d7b748ad

Observation 57344c66-cff0-457a-a4bc-3891569c1b30 · outbound

This paper cites Audio set: An ontology and human- labeled dataset for audio events,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Audio set: An ontology and human- labeled dataset for audio events,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.341397Z digest=sha256:c3bd9aee8abac2a3e293c616a6f63b72e3e82cb2d8c2c3cca317f6a10f71f014

Observation 6aa2ddc9-456d-4637-8ade-d180fea8109c · outbound

This paper cites The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 30

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raw_fallback, observed 2026-08-10T19:13:35.769911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.374190Z digest=sha256:dbbbff25f2ff2ee16a262187f8d6b8fb0c11df11971b8cf8a96e6cb72ee3b009

Observation 8168abdb-bc54-4938-b5db-571e502ac9b3 · outbound

This paper cites The diverse environments multi- channel acoustic noise database (demand): A database of multichannel environmental noise recordings,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids The diverse environments multi- channel acoustic noise database (demand): A database of multichannel environmental noise recordings,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.395238Z digest=sha256:97f863e4c8b38ce03fa1c93c55873e22454772e9b103f43315f1982f221ab99e

Observation 444cc0c7-ab80-4e33-a9b7-2b6d6b55ee90 · outbound

This paper cites Fsd50k: an open dataset of human-labeled sound events,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Fsd50k: an open dataset of human-labeled sound events,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.399099Z digest=sha256:7e9badb42f3a9ed274372493f8c73eceb15e26cbc73531d930a6f8bcf94b2e52

Observation 2facad7d-d2bf-4795-a924-446a964fada8 · outbound

This paper cites Esc: Dataset for environmental sound classification,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Esc: Dataset for environmental sound classification,

Reference 33

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raw_fallback, observed 2026-08-10T19:13:35.654489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.402405Z digest=sha256:a29ad1687c2cb676ce4d94bea7eab1afbb7a2ec71224443c438283c221a54509

Observation c85f233b-26b8-4732-b1ac-6fd232e924a1 · outbound

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

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Sdr–half-baked or well done?

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.406531Z digest=sha256:af0521825825db269d935f455769486106850bddc7f722b0e33e81479d6f9939

Observation bd995a19-58b0-4fd8-b69f-96f5487428d6 · outbound

This paper cites An algorithm for intelligibility prediction of time–frequency weighted noisy speech,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids An algorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T19:13:35.409867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.409867Z digest=sha256:696681b55afd279b23b6595a0e77ef06a46527660d630c2e966b3f2d698880c4

Observation 8198f6f6-ab5c-4af8-8114-fe954e98055e · outbound

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

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Per- ceptual 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 2026-08-10T19:13:35.415742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.415742Z digest=sha256:8a45110fa300a313811ed1a23f6a0d8a933d5ba10fa22d808966217d52f10e3a

Observation 3535219b-01c2-419e-a38c-2da798ef60c5 · outbound

This paper cites Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T19:13:35.419748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:13:35.419748Z digest=sha256:59050ca9e7a90856ddd779f79c0cf8fb3c9ea3634ea40569dfe19f674dc06940

Observation 60ed7885-0b0c-446e-8f90-412fbb75b5c1 · outbound

This paper cites Zero-shot personalized speech enhancement through speaker-informed model selection,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Zero-shot personalized speech enhancement through speaker-informed model selection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:13:35.586830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.424949Z digest=sha256:c127b354fc8abf76fb18654a40583f548097fbb5ab6952fb811577a9e2dec67f

Observation 066ccaca-a107-4161-8a55-8a97b1168f8c · outbound

This paper cites Zero-shot test time adaptation via knowledge distillation for personalized speech denoising and dereverberation,.

DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids Zero-shot test time adaptation via knowledge distillation for personalized speech denoising and dereverberation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:13:35.570966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T19:13:35.430253Z digest=sha256:990027a8b7d261a5992b92ca703d9d1bf2297254381b2205c3771a7af5c0c62d

Pith citing papers

No inbound Pith citation observations are available.