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Paper Citation Record · LEDGER

Low-Complexity Neural Wind Noise Reduction for Audio Recordings

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.01821.

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

pith.paper-citation-record.v1
2507.01821 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:53.053020Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

27 of 27 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c0bdd30-3753-4d5a-b760-65b11d21c4d4 · outbound

This paper cites Single-microphone wind noise reduction by adaptive postfiltering,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Single-microphone wind noise reduction by adaptive postfiltering,

Reference 1

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Observation 46b4e31f-0995-4a4d-84b2-07ec93669013 · outbound

This paper cites Single microphone wind noise reduction using techniques of artificial bandwidth extension,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Single microphone wind noise reduction using techniques of artificial bandwidth extension,

Reference 2

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f8ab77ee-25ba-4258-bace-674f0bed0cba · outbound

This paper cites Corpus based re- construction of speech degraded by wind noise,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Corpus based re- construction of speech degraded by wind noise,

Reference 3

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Source-reported events for the cited work

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Observation 7f09d07e-82fe-4843-89de-5ad60a8a914b · outbound

This paper cites Sin- gle microphone wind noise PSD estimation using signal centroids,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Sin- gle microphone wind noise PSD estimation using signal centroids,

Reference 4

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Source-reported events for the cited work

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Observation 0e92d4e8-6cc7-4457-8cca-620b11e34f9e · outbound

This paper cites Deep bi-directional long short-term memory based speech en- hancement for wind noise reduction,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Deep bi-directional long short-term memory based speech en- hancement for wind noise reduction,

Reference 5

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Source-reported events for the cited work

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Observation 77cdb4cb-c47e-427a-af19-983cc61d4c87 · outbound

This paper cites DNN-based speech enhance- ment using soft audible noise masking for wind noise reduc- tion,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings DNN-based speech enhance- ment using soft audible noise masking for wind noise reduc- tion,

Reference 6

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Source-reported events for the cited work

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Observation 08454d9d-a60d-4155-8fcc-f41933657c04 · outbound

This paper cites U-Net-based single-channel wind noise reduction in outdoor environ- ments,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings U-Net-based single-channel wind noise reduction in outdoor environ- ments,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ed7739a0-7d05-40ad-bb27-64355f340217 · outbound

This paper cites Wind noise reduc- tion strategy in hearing aids through U-Net deep learning and microphone enclosure design,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Wind noise reduc- tion strategy in hearing aids through U-Net deep learning and microphone enclosure design,

Reference 8

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Source-reported events for the cited work

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Observation 5d37a6d6-64d5-46a4-8b7c-8fcc7988418b · outbound

This paper cites Multi-channel algorithms for wind noise reduction and signal compensation in binaural hearing aids,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Multi-channel algorithms for wind noise reduction and signal compensation in binaural hearing aids,

Reference 9

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Source-reported events for the cited work

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Observation e0d3227e-0881-4120-9dbc-37fb3653c59a · outbound

This paper cites Maximum-likelihood approach to adaptive multichannel-wiener postfiltering for wind- noise reduction,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Maximum-likelihood approach to adaptive multichannel-wiener postfiltering for wind- noise reduction,

Reference 10

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Source-reported events for the cited work

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Observation 99f85020-1beb-4688-9859-87cf213f2514 · outbound

This paper cites Spatial coherence-aware multi-channel wind noise reduction,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Spatial coherence-aware multi-channel wind noise reduction,

Reference 11

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Source-reported events for the cited work

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Observation a9904dd1-f933-486c-b5fd-12f02e0e3492 · outbound

This paper cites "U-Net: Convo- lutional Networks for Biomedical Image Segmentation.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings "U-Net: Convo- lutional Networks for Biomedical Image Segmentation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 602804b7-c7c7-4b68-ba1d-983f05c656c0 · outbound

This paper cites Ultra low complexity deep learning based noise suppres- sion,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Ultra low complexity deep learning based noise suppres- sion,

Reference 13

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Source-reported events for the cited work

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Observation 57642b43-2881-47ab-a6cb-7bbe9cdd6fed · outbound

This paper cites Comparative Analysis of Discriminative Deep Learning-Based Noise Re- duction Methods in Low SNR Scenarios,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Comparative Analysis of Discriminative Deep Learning-Based Noise Re- duction Methods in Low SNR Scenarios,

Reference 14

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Source-reported events for the cited work

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Observation 4a6fb291-9284-4c59-880a-d518066d0d62 · outbound

This paper cites Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Sixty years of frequency-domain monaural speech enhancement: From traditional to deep learning methods,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 11339ae5-39e4-4679-ad4e-93202a70fe52 · outbound

This paper cites Masking and inpainting: A two-stage speech enhancement approach for low SNR and non- stationary noise,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Masking and inpainting: A two-stage speech enhancement approach for low SNR and non- stationary noise,

Reference 16

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Source-reported events for the cited work

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Observation 8430813b-f704-4904-87ef-89e59b49b725 · outbound

This paper cites Wind noise reduction method for speech recording using multiple noise templates and observed spectrum fine struc- ture,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Wind noise reduction method for speech recording using multiple noise templates and observed spectrum fine struc- ture,

Reference 17

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Observation e2feec5d-c418-49e2-94de-3026d6221c92 · outbound

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

Low-Complexity Neural Wind Noise Reduction for Audio Recordings A hybrid approach for low-complexity joint acoustic echo and noise reduction,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c1ae8714-cd07-4fbe-8ee8-cfcc6f03c003 · outbound

This paper cites Align-ULCNet: Towards Low-Complexity and Robust Acoustic Echo and Noise Reduction.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Align-ULCNet: Towards Low-Complexity and Robust Acoustic Echo and Noise Reduction

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7608ea70-f2f1-41bf-8f5c-5ce883a74a57 · outbound

This paper cites Low-complexity neural speech dereverber- ation with adaptive target control,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Low-complexity neural speech dereverber- ation with adaptive target control,

Reference 20

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Observation 6f20e540-5635-4a27-bfc8-b51855d06e6c · outbound

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

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Au- dio set: An ontology and human-labeled dataset for audio events,

Reference 21

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9bdf1f56-492e-4f72-b637-5368d05a3488 · outbound

This paper cites CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR V oice Cloning Toolkit (version 0.92), [sound].,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR V oice Cloning Toolkit (version 0.92), [sound].,

Reference 22

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Observation 240cd5bb-fde6-4719-b320-e6c011c12574 · outbound

This paper cites The MUSDB18 corpus for music separation,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings The MUSDB18 corpus for music separation,

Reference 23

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Observation 7f2f6f6f-30ef-4c51-9c57-e7ac8824f0f8 · outbound

This paper cites PEAQ-The ITU standard for objective measurement of perceived audio quality,.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings PEAQ-The ITU standard for objective measurement of perceived audio quality,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4a746846-d01b-4ada-9cda-b62a7b200ad6 · outbound

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

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Perceptual evaluation of speech quality (PESQ)- a new method for speech quality assessment of tele- phone networks and codecs,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0c145c4e-c3f1-4d14-926d-ec34487b4a0a · outbound

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

Low-Complexity Neural Wind Noise Reduction for Audio Recordings SDR–half-baked or well done?,

Reference 26

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Source-reported events for the cited work

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Observation 85669337-a51a-4b87-a861-dc471feb8764 · outbound

This paper cites Towards the next generation of web-based experiments: A case study assessing basic audio quality following the itu-r recommen- dation bs. 1534 (mushra),.

Low-Complexity Neural Wind Noise Reduction for Audio Recordings Towards the next generation of web-based experiments: A case study assessing basic audio quality following the itu-r recommen- dation bs. 1534 (mushra),

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Pith citing papers

No inbound Pith citation observations are available.