Paper Citation Record · LEDGER

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing

As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2506.07536.

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

pith.paper-citation-record.v1
2506.07536 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:08.028453Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:37:07.729892Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:37:08.165588Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy42
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 841c9ee2-337b-4302-aea3-059a1ad1f22d · outbound

This paper cites It is wid ely applied across various applications, including biometric au- thentication on personal smart devices [3].

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing It is wid ely applied across various applications, including biometric au- thentication on personal smart devices [3]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:09.095303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fac1c379-efb2-45fc-a5ca-6e621c0340dc · outbound

This paper cites Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:37:08.173175Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84b591b0-79bf-4f08-8a81-ed70ab04ba80 · outbound

This paper cites 5 interpolates between IFN and LN style normalization.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing 5 interpolates between IFN and LN style normalization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:09.077637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69d6fc4a-b334-45fb-bc96-2debda413e8e · outbound

This paper cites Evaluation Tasks The experiments were conducted on cross-dataset ASV tasks, anti-spooﬁng tasks, and spooﬁng-robust automatic speaker ver- iﬁcation (SASV) tasks.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Evaluation Tasks The experiments were conducted on cross-dataset ASV tasks, anti-spooﬁng tasks, and spooﬁng-robust automatic speaker ver- iﬁcation (SASV) tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:09.051000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4357e35-52ed-4e1e-878b-bacacb4b2abb · outbound

This paper cites For cross-dataset ASV evaluation, the EER is reported after the ﬁnal training epoc h.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing For cross-dataset ASV evaluation, the EER is reported after the ﬁnal training epoc h

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:09.026100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fa16d21-1eaf-44c2-b791-ef035f6ce44a · outbound

This paper cites Results demonstrate that accounting f or the uncertainty in the frequency-dependent weights can mit i- gate domain generalization issues.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Results demonstrate that accounting f or the uncertainty in the frequency-dependent weights can mit i- gate domain generalization issues

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:09.007149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffba15bf-b9a6-45c1-8fd2-459d9bf9b4b3 · outbound

This paper cites Linguistics, Artiﬁcial Intelligence and Lang uage and Speech Technologies: from Research to Applications.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Linguistics, Artiﬁcial Intelligence and Lang uage and Speech Technologies: from Research to Applications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.986992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26d899a5-20f8-4c8b-9315-b135316fe7da · outbound

This paper cites Mak and J.-T.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Mak and J.-T

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.969399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4abfed8b-8e26-473b-b506-5d44877590ab · outbound

This paper cites Modeling supraseg- mental information using ﬁnite difference network for end- to-end speaker veriﬁcation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Modeling supraseg- mental information using ﬁnite difference network for end- to-end speaker veriﬁcation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.952728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 879cdc50-1292-4607-9301-5d938327b977 · outbound

This paper cites Speaker veriﬁcation makes its debut in smartphone,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Speaker veriﬁcation makes its debut in smartphone,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.934053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f78e5fe0-2f2f-46d0-b59d-d89a97e83222 · outbound

This paper cites Speaker recognition based on dee p learning: An overview,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Speaker recognition based on dee p learning: An overview,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.918079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b405b3f5-8f2c-44aa-bca9-33bbd74cbcaf · outbound

This paper cites Spooﬁng-aware speaker veriﬁcation robust against domain and channel mismatches,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Spooﬁng-aware speaker veriﬁcation robust against domain and channel mismatches,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.902145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad3de19a-bfc3-4290-9c57-c1eb1392f9e2 · outbound

This paper cites A comprehensive survey on transfer learning,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing A comprehensive survey on transfer learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.885302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7d1701d-240f-434e-bd22-45337a686264 · outbound

This paper cites Domain gener- alization: A survey,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Domain gener- alization: A survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.868602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8094e8b-bbb9-465d-b85b-4d0e796b0087 · outbound

This paper cites The CORAL+ algorith m for unsupervised domain adaptation of PLDA,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing The CORAL+ algorith m for unsupervised domain adaptation of PLDA,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.851844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3d2c7c2-c78f-42ed-b7b9-e5f428ad459d · outbound

This paper cites Un- supervised domain adaptation via domain adversarial train ing for speaker recognition,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Un- supervised domain adaptation via domain adversarial train ing for speaker recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.833477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4af4184-9785-4b82-87ce-ca391bac0623 · outbound

This paper cites Unsupervised domain adaptation for i-vector speak er recognition,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Unsupervised domain adaptation for i-vector speak er recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.814516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6b2f82b-9737-4f43-887b-69736b49c02f · outbound

This paper cites Learning to gen- eralize: Meta-learning for domain generalization,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Learning to gen- eralize: Meta-learning for domain generalization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.796945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc7a504f-5664-4152-a16b-99fb57885b80 · outbound

This paper cites Meta-generalization for domain-invariant speaker veriﬁ cation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Meta-generalization for domain-invariant speaker veriﬁ cation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.779032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 809ff4e1-7950-45e5-8380-a16c84eb213d · outbound

This paper cites Mu- tual information-based embedding decoupling for generali zable speaker veriﬁcation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Mu- tual information-based embedding decoupling for generali zable speaker veriﬁcation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.762521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36eb9816-feb8-4a3c-9c82-0f9818fb7977 · outbound

This paper cites Dom ain generalization with relaxed instance frequency-wise norm aliza- tion for multi-device acoustic scene classiﬁcation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Dom ain generalization with relaxed instance frequency-wise norm aliza- tion for multi-device acoustic scene classiﬁcation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.746475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3038fff-df0e-4686-b738-dc29123eb3ef · outbound

This paper cites A review of uncertainty quantiﬁcation in deep learning: Techniques, applications and challenges,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing A review of uncertainty quantiﬁcation in deep learning: Techniques, applications and challenges,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.728041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe04a191-33b2-4114-b22c-e63501edb27d · outbound

This paper cites Gaussian process neural networks for speech recog ni- tion.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Gaussian process neural networks for speech recog ni- tion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.711249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11d536a2-5217-4b28-b4a5-a141ad46da5d · outbound

This paper cites Bayesian neural network language modeling for speech reco gni- tion,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Bayesian neural network language modeling for speech reco gni- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.693399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f292f5ae-a4f4-407a-9c3e-aadd6bf77674 · outbound

This paper cites Bayesian x-vector: Bayesian neural network based x-vecto r sys- tem for speaker veriﬁcation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Bayesian x-vector: Bayesian neural network based x-vecto r sys- tem for speaker veriﬁcation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.672787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88ff24f2-ec20-499c-acb6-3af42592ae48 · outbound

This paper cites an unresolved cited work.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:37:08.649345Z

Source-reported events for the cited work

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Observation 0a1f7f63-d958-4354-a8be-d3b39b736b51 · outbound

This paper cites V ariational dropout and the local reparameterization trick,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing V ariational dropout and the local reparameterization trick,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.630787Z

Source-reported events for the cited work

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Observation 0107c8de-5a0b-4636-a06d-93751d3ca00c · outbound

This paper cites Weight uncertainty in neural network,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Weight uncertainty in neural network,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.614328Z

Source-reported events for the cited work

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Observation 9873adc2-7c81-4ead-81c7-238c6a222c16 · outbound

This paper cites CN-Celeb: multi-genre speaker recogni - tion,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing CN-Celeb: multi-genre speaker recogni - tion,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.598362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05d959bc-5466-4d8b-b1d9-9e458d4d7a18 · outbound

This paper cites Hi-mia: A far-ﬁeld text-depend ent speaker veriﬁcation database and the baselines,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Hi-mia: A far-ﬁeld text-depend ent speaker veriﬁcation database and the baselines,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.579181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f6320e0-f487-4db7-b8a4-68274b72f73d · outbound

This paper cites The INTERSPEECH 2020 Far-Field Speaker Verification Challenge.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing The INTERSPEECH 2020 Far-Field Speaker Verification Challenge

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:37:08.141744Z

Source-reported events for the cited work

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Observation 62c0e4f3-c82d-4d1c-830d-d60e26c9c00f · outbound

This paper cites V oxce leb: Large-scale speaker veriﬁcation in the wild,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing V oxce leb: Large-scale speaker veriﬁcation in the wild,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.557877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d9c10eb-f1fb-423b-a726-db5db77ec809 · outbound

This paper cites ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing ASVspoof 5: crowd- sourced speech data, deepfakes, and adversarial attacks at scale,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.514304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c86f6f51-4e3d-4b54-8d4a-ac152e5ce422 · outbound

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

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing MUSAN: A Music, Speech, and Noise Corpus

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:07.932851Z

Source-reported events for the cited work

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Observation aacb1dfc-b09c-4a42-a435-78985f1fa1b1 · outbound

This paper cites Image method for efﬁcient ly sim- ulating small-room acoustics,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Image method for efﬁcient ly sim- ulating small-room acoustics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.490817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4dc3b2a9-8b3d-49d0-bcf5-b3f53de852ab · outbound

This paper cites Far-ﬁeld end-to-end text-dep endent speaker veriﬁcation based on mixed training data with trans fer learning and enrollment data augmentation.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Far-ﬁeld end-to-end text-dep endent speaker veriﬁcation based on mixed training data with trans fer learning and enrollment data augmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.452568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c36ca3b-0745-47f1-bb74-ea070d33cbba · outbound

This paper cites Data augmentation using deep generative models for embedding based speaker recog- nition,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Data augmentation using deep generative models for embedding based speaker recog- nition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.411185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 340ed234-b43b-43fb-8554-f6dac6b8a366 · outbound

This paper cites ECAPA - TDNN: emphasized channel attention, propagation and aggre ga- tion in TDNN based speaker veriﬁcation,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing ECAPA - TDNN: emphasized channel attention, propagation and aggre ga- tion in TDNN based speaker veriﬁcation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.385081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc6d6eac-8bcc-439f-92ff-9ea3e6771e15 · outbound

This paper cites Auto-Encoding Variational Bayes.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Auto-Encoding Variational Bayes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:07.975193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635965b3-0c01-485d-a3e8-6c71c2b1b018 · outbound

This paper cites BUT systems and analyses for the ASVspoof 5 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing BUT systems and analyses for the ASVspoof 5 Challenge,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.363684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c197f16f-e5bb-41d6-9762-624e1eee4702 · outbound

This paper cites R aw- boost: A raw data boosting and augmentation method applied t o automatic speaker veriﬁcation anti-spooﬁng,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing R aw- boost: A raw data boosting and augmentation method applied t o automatic speaker veriﬁcation anti-spooﬁng,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.343014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e2677a4-1fcf-4ed5-9720-efb7d2d92be9 · outbound

This paper cites IDV oice team system description for ASVSpoof5 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing IDV oice team system description for ASVSpoof5 Challenge,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.320100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 30236d7e-5552-4b4f-a696-e981edb18811 · outbound

This paper cites Whispeak speech deepfake dete ction systems for the ASVspoof5 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Whispeak speech deepfake dete ction systems for the ASVspoof5 Challenge,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.296253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b359d46-7287-4aa6-8bd9-ecc5d1ee74cb · outbound

This paper cites ASVspoof 5 Chall enge: advanced ResNet architectures for robust voice spooﬁng det ec- tion,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing ASVspoof 5 Chall enge: advanced ResNet architectures for robust voice spooﬁng det ec- tion,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.266543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d4337a8-0400-4ab0-bcdd-a73746154e8c · outbound

This paper cites Spooﬁng-robust speaker veriﬁcation using parallel embed ding fusion: BTU speech group’s approach for ASVspoof5 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Spooﬁng-robust speaker veriﬁcation using parallel embed ding fusion: BTU speech group’s approach for ASVspoof5 Challenge,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.243343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc34154b-2d0b-4560-8007-016cf11b0421 · outbound

This paper cites AASIST3: KAN-enhanced AASIST speech deepfake detection using SSL features and additional regularization for the ASVspoof 20 24 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing AASIST3: KAN-enhanced AASIST speech deepfake detection using SSL features and additional regularization for the ASVspoof 20 24 Challenge,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.223254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42fac064-7577-43cf-8cc5-c9d3044175e2 · outbound

This paper cites The SHADOW team submission to the ASVSpoof 2024 Challenge,.

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing The SHADOW team submission to the ASVSpoof 2024 Challenge,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:37:08.200758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation fac1c379-efb2-45fc-a5ca-6e621c0340dc · inbound