Paper Citation Record · LEDGER

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2508.18913.

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

pith.paper-citation-record.v1
2508.18913 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:08:51.738428Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:08:48.343751Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:08:52.437996Z

Reference resolution

26 of 26 outbound references displayed

verified exact3
verified fuzzy17
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d47a6a48-a8d6-43f1-a0c7-6ff61df02961 · outbound

This paper cites A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:08:52.535936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 93698f22-bcc2-4270-ae96-b8031f50f69f · outbound

This paper cites By combining this complemen- tary information, we can create a more robust embedding that is resistant to noise.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio By combining this complemen- tary information, we can create a more robust embedding that is resistant to noise

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:57.052106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 457615b1-cb11-451a-b872-79868ea67202 · outbound

This paper cites The V oxCeleb1 training set comprises 148,642 utterances from 1,211 speakers, while the test set contains 4,874 utterances from 40 speakers.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio The V oxCeleb1 training set comprises 148,642 utterances from 1,211 speakers, while the test set contains 4,874 utterances from 40 speakers

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T16:08:56.831373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bbc4e10f-9c5b-4f5b-91f6-2819ed3f81f8 · outbound

This paper cites an unresolved cited work.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:08:56.533521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f711428-fffc-4b1b-8cbf-ee5c8917781a · outbound

This paper cites This re- search was supported by the Israel Science Foundation (grant no.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio This re- search was supported by the Israel Science Foundation (grant no

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:56.317150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 48b7d749-4c8c-4c41-8719-bb8fada7bfaf · outbound

This paper cites SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:08:49.197884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be70702f-65fc-4e30-b166-dd3e078626bf · outbound

This paper cites V oxCeleb: Large-scale speaker ver- ification in the wild,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio V oxCeleb: Large-scale speaker ver- ification in the wild,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:56.072979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65aa04ff-a1e6-40ad-a4fb-0dae91f38506 · outbound

This paper cites DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T16:08:49.488573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 848c3acb-c283-4a9d-aac0-d2c5649e4c75 · outbound

This paper cites Speaker recogni- tion based on deep learning: An overview,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Speaker recogni- tion based on deep learning: An overview,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:55.851230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1eab1f4d-02b3-42f6-84f4-67276749b182 · outbound

This paper cites Deep speaker embeddings for speaker ver- ification: Review and experimental comparison,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Deep speaker embeddings for speaker ver- ification: Review and experimental comparison,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:55.604244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88789379-7719-4034-9144-96b6fde0c7d8 · outbound

This paper cites A time-delay neural network architecture for isolated word recognition,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio A time-delay neural network architecture for isolated word recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:55.344732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4ba3d42-bc5a-4e3d-8116-1fb5b133b7b1 · outbound

This paper cites X-vectors: Ro- bust dnn embeddings for speaker recognition,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio X-vectors: Ro- bust dnn embeddings for speaker recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:55.036088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1025e485-a563-424e-8414-92efb1d3ae20 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T16:08:50.162373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bd3bcc-62a3-489d-97f5-f3315058a25c · outbound

This paper cites Speech enhancement using deep learning methods: A review,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Speech enhancement using deep learning methods: A review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:54.879551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a845c24-cf42-4d6e-bfc8-36d22ff5cb12 · outbound

This paper cites Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions.,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions.,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:54.654316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 32dd165a-1cce-4feb-aceb-31f4f726be93 · outbound

This paper cites Feature enhancement with deep feature losses for speaker verification,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Feature enhancement with deep feature losses for speaker verification,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:54.434960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a6a5346-efb3-4ad8-93bd-c02a6498a8ae · outbound

This paper cites Audio enhancing with dnn autoen- coder for speaker recognition,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Audio enhancing with dnn autoen- coder for speaker recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:54.200065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdd6726e-6cc7-4182-b691-ca1aaff3f57d · outbound

This paper cites Within- sample variability-invariant loss for robust speaker recognition under noisy environments,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Within- sample variability-invariant loss for robust speaker recognition under noisy environments,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:54.008347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf172521-7fdd-454c-b971-5d44b17b3855 · outbound

This paper cites CAM: Context-aware masking for ro- bust speaker verification,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio CAM: Context-aware masking for ro- bust speaker verification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:53.673927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a72e56c-b421-445d-905c-2ffd5757dc05 · outbound

This paper cites Noise-disentanglement metric learning for robust speaker verification,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Noise-disentanglement metric learning for robust speaker verification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:53.525073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b32c7892-6333-437f-85ba-4022da29cda8 · outbound

This paper cites VoiceID Loss: Speech Enhancement for Speaker Verification.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio VoiceID Loss: Speech Enhancement for Speaker Verification

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:08:52.307026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43a180dd-1c42-4332-8490-2e7be3fed0bb · outbound

This paper cites Extended U-Net for Speaker Verification in Noisy Environments.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Extended U-Net for Speaker Verification in Noisy Environments

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:08:51.988320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a48e199-f155-42f5-96a8-9aac38d0dd8f · outbound

This paper cites A fused speech enhancement framework for robust speaker verification,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio A fused speech enhancement framework for robust speaker verification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:53.215290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8723356-c1cc-4725-a9c6-2b0c34dea877 · outbound

This paper cites LC4SV: A denoising framework learning to compensate for unseen speaker verification models,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio LC4SV: A denoising framework learning to compensate for unseen speaker verification models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:52.963567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb68d9c5-096c-4ad7-8f7c-30abb2e5c7f7 · outbound

This paper cites Facenet: A unified embedding for face recog- nition and clustering,.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio Facenet: A unified embedding for face recog- nition and clustering,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:08:52.763690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a196862-3169-490b-a88d-fb0deb83123b · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio MUSAN: A Music, Speech, and Noise Corpus

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T16:08:51.738428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d47a6a48-a8d6-43f1-a0c7-6ff61df02961 · inbound