Paper Citation Record · LEDGER

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2607.04826.

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

pith.paper-citation-record.v1
2607.04826 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T12:54:14.084815Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T12:54:14.084815Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93f9ac34-1390-4ee7-b718-52d6a0030e66 · outbound

This paper cites Ranking the Impact of Contextual Specialization in Neural Speech Enhancement.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Ranking the Impact of Contextual Specialization in Neural Speech Enhancement

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation efaeccd0-67fb-4a1e-aaff-0743419e8230 · outbound

This paper cites tiny (T).

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement tiny (T)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 96321eca-d9a2-4ca5-8755-a9dac0cfe05b · outbound

This paper cites Ex- periment 1 compares the performance of SE models specialized to speakers, gender, noise type, and SNR to generalists.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Ex- periment 1 compares the performance of SE models specialized to speakers, gender, noise type, and SNR to generalists

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 9a9fab0b-1e58-4866-8a60-fbc32c2f9eee · outbound

This paper cites We report SI-SDR [22], PESQ [19] and ESTOI [23] 4.1.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement We report SI-SDR [22], PESQ [19] and ESTOI [23] 4.1

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 5b133820-c944-43e5-a465-144bed94ff32 · outbound

This paper cites This aligns with findings from [9, 10] and clarifies earlier work.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement This aligns with findings from [9, 10] and clarifies earlier work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 592f2eb5-1c53-41af-bc77-724e2844f718 · outbound

This paper cites Effects of aging on auditory processing of speech,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Effects of aging on auditory processing of speech,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 97d344ad-6a1a-40d0-802a-ecfc35120ed0 · outbound

This paper cites A comprehen- sive review on real-world challenges faced by hearing aid users and innovative solutions for background noise—from lab to life,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement A comprehen- sive review on real-world challenges faced by hearing aid users and innovative solutions for background noise—from lab to life,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

Source-reported events for the cited work

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Observation 12f27509-9f06-448f-ada0-f687777256be · outbound

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

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation c4e20469-64f8-401e-a432-0722f8f94bce · outbound

This paper cites Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c37857a-f9b1-4983-837f-244b52137e8b · outbound

This paper cites The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 91da991b-685f-464f-ad15-2c3dd173f4b5 · outbound

This paper cites The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identifi- cation,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identifi- cation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation d41df2fd-5620-4913-8f5f-ec2c88187949 · outbound

This paper cites NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation ef671a2b-8cc0-4e1f-b250-ab562588a085 · outbound

This paper cites Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

Source-reported events for the cited work

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Observation ddcffe09-c596-4596-bfd6-c57880f79585 · outbound

This paper cites Sparse Mixture of Local Experts for Efficient Speech Enhancement.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Sparse Mixture of Local Experts for Efficient Speech Enhancement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 34c42abe-0e84-4ae9-975a-f58b77b71e0f · outbound

This paper cites Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 59747596-b814-456f-b776-45b4172aea65 · outbound

This paper cites Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environments

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 187bc508-bf28-40e4-a9d4-83939123dd4d · outbound

This paper cites LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation bec7901a-de7f-44d1-8884-392d20d90201 · outbound

This paper cites TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

Source-reported events for the cited work

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Observation 6a2c9224-2926-4323-b3e6-9f8fb32b65e7 · outbound

This paper cites Dataset of British English speech recordings for psychoacoustics and speech processing re- search: The clarity speech corpus,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Dataset of British English speech recordings for psychoacoustics and speech processing re- search: The clarity speech corpus,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 9456bc2f-ef97-4e60-9bb6-b4b9287e6262 · outbound

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

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement The voice bank corpus: Design, collection and data analysis of a large regional accent speech database,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation c59dcc45-b638-489e-ba07-477adc90ba12 · outbound

This paper cites Demand: A Collection Of Multi-Channel Recordings Of Acoustic Noise In Diverse Environments,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Demand: A Collection Of Multi-Channel Recordings Of Acoustic Noise In Diverse Environments,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation eb1265fc-81aa-4544-a8a6-4146021d30d6 · outbound

This paper cites The Ambisonic Recordings of Typical Environments (ARTE) Database,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement The Ambisonic Recordings of Typical Environments (ARTE) Database,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation ee4ab363-0d7a-4c73-8cb2-0ea87d3a7a23 · outbound

This paper cites DFingerNet: Noise- Adaptive Speech Enhancement for Hearing Aids,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement DFingerNet: Noise- Adaptive Speech Enhancement for Hearing Aids,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation 0bf44113-b0f7-444b-b3a7-b51a328f8c3b · outbound

This paper cites Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow- band telephone networks and speech codecs,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow- band telephone networks and speech codecs,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

Source-reported events for the cited work

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Observation 049511e5-f63e-4451-a610-2af96783cc6e · outbound

This paper cites The EMIME Bilingual Database,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement The EMIME Bilingual Database,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation d1bd753c-e34e-4737-9389-6c914ae54036 · outbound

This paper cites FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation cff4d846-c957-4a10-adb1-aa245a821250 · outbound

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

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement SDR - half-baked or well done?,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Observation e647353e-fdcc-4de1-a713-f3add5cb8cab · outbound

This paper cites An Algorithm for Predict- ing the Intelligibility of Speech Masked by Modulated Noise Maskers,.

Ranking the Impact of Contextual Specialization in Neural Speech Enhancement An Algorithm for Predict- ing the Intelligibility of Speech Masked by Modulated Noise Maskers,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T12:54:14.084815Z

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Pith citing papers

Observation 93f9ac34-1390-4ee7-b718-52d6a0030e66 · inbound