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Paper Citation Record · LEDGER

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2606.08038.

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

pith.paper-citation-record.v1
2606.08038 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:36:37.333042Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:36:37.333042Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T21:37:25.490420Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9848da5-d60b-49f6-9c2e-e511306fa3f5 · outbound

This paper cites Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis

Reference 1

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:4c46be3187b2cf2c0b83e2e5a1142d5f51508e4ceae335e0f2370d6b0f344d2c

Observation d1a91ab0-ff74-4652-a28a-ac66f78ebc30 · outbound

This paper cites Fake Speech Detection Fake speech detection aims to distinguish generated speech from real speech.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Fake Speech Detection Fake speech detection aims to distinguish generated speech from real speech

Reference 2

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:065442e9d513b9646a1e0bfbea68c8fb8b7c4db132f7c0760fb10295bb3f113a

Observation c6c464dc-3154-47e6-b1de-72dbfa67edf7 · outbound

This paper cites an unresolved cited work.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Unresolved cited work

Reference 3

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:931b0a25743813a287a28792d756ca9d1c6380d953b8cb3c6c301a59ef9971e7

Observation 1a153f7a-3025-4a6b-b129-a16ae06852d6 · outbound

This paper cites We conduct a systematic analysis of the results and derive the following two key findings.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis We conduct a systematic analysis of the results and derive the following two key findings

Reference 4

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:52c02e1134c24240b047b5f672ed6a08d2571f83833ce91b88cc9c86a69e3503

Observation fe1544eb-005e-46e1-9295-edabc3c12533 · outbound

This paper cites an unresolved cited work.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Unresolved cited work

Reference 5

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:e9767879e42b79ba8c2da96fae583c7a029e3a39587c00afc5a550f6b994b3ed

Observation 543816c6-effa-44e0-83c4-a9e8b4dc6ce8 · outbound

This paper cites Motivated by this observation, we conduct two exploratory experiments to examine how training data scale and diversity affect model performance.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Motivated by this observation, we conduct two exploratory experiments to examine how training data scale and diversity affect model performance

Reference 6

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:fe1e18ff7cee36860a0be576047da880906d3151f3d6f772400c8728d70abaf0

Observation 96422ba3-6fb9-4709-8432-96255a1abc79 · outbound

This paper cites an unresolved cited work.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Unresolved cited work

Reference 7

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:a27e1ce2107bd648746fd926096734e6f2b17d42a02fc5ffb831840f76c2297e

Observation 8d887d56-dd22-47ed-92a3-ce6771408881 · outbound

This paper cites The research design, experiments, analysis, and conclusions were conducted and verified entirely by the authors.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis The research design, experiments, analysis, and conclusions were conducted and verified entirely by the authors

Reference 8

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:42df0e8f7b5fd54b2378ce646b4bd7fedb7c97792f192dc57c093eef05d422bb

Observation 6ae4468a-759f-48e0-86da-c98c41a0c5bf · outbound

This paper cites Towards con- trollable speech synthesis in the era of large language models: A systematic survey,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Towards con- trollable speech synthesis in the era of large language models: A systematic survey,

Reference 9

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:d498df5f4189dcf4a5d76d656f26f8747f3bfa52eb4bc2d330fdc0f3f735c77a

Observation 4982f482-bc55-47ae-960a-525de239ee68 · outbound

This paper cites A survey on speech deep- fake detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis A survey on speech deep- fake detection,

Reference 10

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:b4c31470abbba4bbef85e03f99488a29570a1e5981e6e98b610009e39c0e36f4

Observation e632b531-85a7-4db0-8a16-ad190c63b9cf · outbound

This paper cites Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge,

Reference 11

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:bcbcf9e0a40fdc223174538c1908c69eb70d565ea9f2cc1f0652883b933aad76

Observation 93bc3db6-c8a5-4573-8dd0-12b95921afd3 · outbound

This paper cites Asvspoof 2019: A large-scale public database of synthe- sized, converted and replayed speech,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Asvspoof 2019: A large-scale public database of synthe- sized, converted and replayed speech,

Reference 12

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:912dbb6bf8fb7a46e07a9089d280c5e75917d988d86874a0e2b28eae1b8bbdca

Observation 439ec705-6e99-4f16-ab23-0bcf247fd345 · outbound

This paper cites ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 13

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:a7b7cf151cf23a26adacf0e33a12c8431bf42ace593bf4a5f13f02a153b00df5

Observation aaabb4a2-31ba-41e4-8bb9-0326592bc9f9 · outbound

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

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis ASVspoof 5: crowdsourced speech data, deepfakes, and adversarial attacks at scale,

Reference 14

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:6b6ebd0a0be5aa42f13f78dd0a48cdd6aef303cf4caf681d9f4bff462ed3b827

Observation 0aefb5a3-69e1-4d22-b24a-2c3b8e4cd61f · outbound

This paper cites Speechfake: A large-scale multilingual speech deepfake dataset incorporating cutting-edge generation methods,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Speechfake: A large-scale multilingual speech deepfake dataset incorporating cutting-edge generation methods,

Reference 15

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:b3efd9660d12995f8ca8bbdd2d2aaa132df40097855f9da120f23267bd1a665f

Observation 26e5b498-15f4-4a10-a6d9-1c297443997d · outbound

This paper cites Post-training for deepfake speech de- tection.arXiv preprint arXiv:2506.21090.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Post-training for deepfake speech de- tection.arXiv preprint arXiv:2506.21090

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:fc5b055694ca139586ad893828b4117820a07c20a9c2a1bb4753d3da44f8c22f

Observation 286317ee-95d6-4b37-93b0-5f3b5c9ea1d8 · outbound

This paper cites Spoofceleb: Speech deepfake detection and sasv in the wild,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Spoofceleb: Speech deepfake detection and sasv in the wild,

Reference 17

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:f250990947bfd9b7db8c1949ed483d9174989f5be83884ee2a2c2782479a7d43

Observation f877d2d0-2914-4d7a-86a7-f27a5860a26b · outbound

This paper cites A data-centric ap- proach to generalizable speech deepfake detection.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis A data-centric ap- proach to generalizable speech deepfake detection

Reference 18

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:e021cc71c8c71fe26da02527d44a88bf404f987a3073bd03126b6dc1e748736a

Observation c95931e5-4d2c-4dec-ae55-848a7d39c0ac · outbound

This paper cites Deep residual neu- ral networks for audio spoofing detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Deep residual neu- ral networks for audio spoofing detection,

Reference 19

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:414b21b2cc5dcb2b7ea46105add02f9cc05cadb8db1cfeac9487e08d9281ede4

Observation 39db76ef-a1d8-44a7-b1a2-95e235e84bee · outbound

This paper cites Deepfake audio detection via mfcc fea- tures using machine learning,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Deepfake audio detection via mfcc fea- tures using machine learning,

Reference 20

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:a7cd571c2c4ad23f014e6d9ce48a2f8f5a7aa52c0bdc58452938c46c77c7a245

Observation ced03eba-8885-40b7-8392-a43b5537b760 · outbound

This paper cites Is synthetic voice detection research going into the right direction?.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Is synthetic voice detection research going into the right direction?

Reference 21

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:2f7e004b4b7f9ff6303c7851a2a1c553a72935fae6500744a4503ee570d736c8

Observation 0ecef8f1-854e-4d06-9551-99896b7af20f · outbound

This paper cites Audio deepfake detection based on a combination of f0 information and real plus imaginary spectrogram features,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Audio deepfake detection based on a combination of f0 information and real plus imaginary spectrogram features,

Reference 22

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:5721e3a96a733dc78ad9cd446b032adcbf19241b4a00ced8b0a8d503a901bf39

Observation 806ccf4f-a2b8-402f-99a0-cb8338ad4663 · outbound

This paper cites Learning from yourself: A self-distillation method for fake speech detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Learning from yourself: A self-distillation method for fake speech detection,

Reference 23

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:cd143d60b890db4220e39fdc3c496c32cd712748a1077dd0770c8df618638a0c

Observation fad92304-ec5d-4536-848e-3d3f333bec24 · outbound

This paper cites Deepfake speech detection through emotion recognition: A semantic approach,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Deepfake speech detection through emotion recognition: A semantic approach,

Reference 24

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:bd55844704db00fe667db16c05007783993857068d5728edd54799a926792ceb

Observation 4794fc30-cd18-4f01-858d-f67eae6c4e27 · outbound

This paper cites Bts-e: Au- dio deepfake detection using breathing-talking-silence encoder,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Bts-e: Au- dio deepfake detection using breathing-talking-silence encoder,

Reference 25

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:dccfcf83dd7faf6b25b049dbf755a0d385f5c01df12b37d33142f04192ea7c9a

Observation c002e96c-49f9-49ea-a369-b735dbe76d1d · outbound

This paper cites End-to-end anti-spoofing with rawnet2,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis End-to-end anti-spoofing with rawnet2,

Reference 26

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:0659fb909434b8465704171bcab4929065650ae577d41bc406c50ccdded71977

Observation fd681f5f-fffc-46c4-ad78-6a993e4eb85a · outbound

This paper cites End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detec- tion,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detec- tion,

Reference 27

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:d4051a586429fed22b437d1933dc3e93d22eea8d2c61dbccb9d2c9af57ec586b

Observation 591ee6f9-9ad3-4ebe-b642-580aa1f502b6 · outbound

This paper cites Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Aasist: Audio anti-spoofing using in- tegrated spectro-temporal graph attention networks,

Reference 28

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:c0c82ebec21d817b2d5b6e3cb2e7490b45b881e70026e005c0f052a7ed55ac8c

Observation 7c168b74-cf08-440d-b703-2f3cee5aed73 · outbound

This paper cites Automatic speaker verification spoofing and deep- fake detection using wav2vec 2.0 and data augmentation,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Automatic speaker verification spoofing and deep- fake detection using wav2vec 2.0 and data augmentation,

Reference 29

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:9b5fe358613a84ded3f1ac79e09491006061983005369ba707e261ed4ca57e3e

Observation 649a6bf1-1433-44b9-ad3e-121ab8024ba8 · outbound

This paper cites Multi-level ssl feature gating for audio deepfake detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Multi-level ssl feature gating for audio deepfake detection,

Reference 30

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:68c25f1510c50cb6715e9984357b42ba6dab551f1b745d7830f6d9a1d4107f65

Observation b348dc92-5d51-4ce0-a8e1-cf9d8299cf63 · outbound

This paper cites Fmfcc-a: A challeng- ing mandarin dataset for synthetic speech detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Fmfcc-a: A challeng- ing mandarin dataset for synthetic speech detection,

Reference 31

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:9357ebfd44113ba5b57f80ab7b7cd2152dfcac38cef60143cc3774d55faac1ae

Observation 34f54320-c295-4098-8869-c7940632d860 · outbound

This paper cites Add 2022: the first audio deep synthe- sis detection challenge,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Add 2022: the first audio deep synthe- sis detection challenge,

Reference 32

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:85360df09786d6388dd14146763e2b49e543b5297c87af27d6fd2192411c62d5

Observation bcce51a8-6569-4025-bb95-d37910b1d1fb · outbound

This paper cites ADD 2023: the Second Audio Deepfake Detection Challenge.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis ADD 2023: the Second Audio Deepfake Detection Challenge

Reference 33

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arxiv_id, observed 2026-07-02T21:37:25.483437Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:0eb11462169bbfc3010d88f775ac98f055e93729f6c61f09c4da1a4eac900d99

Observation 43e98c0b-dbdd-422a-8e21-ab5786b22ff8 · outbound

This paper cites Diffssd: A diffusion-based dataset for speech forensics,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Diffssd: A diffusion-based dataset for speech forensics,

Reference 34

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:17ef3b643bd41195c44c62304645b6cb420298dfb01a20ea291d29f84b59c1d3

Observation 20aa02d2-bf09-41f2-b946-485256d1fb98 · outbound

This paper cites Diffuse or confuse: A diffu- sion deepfake speech dataset,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Diffuse or confuse: A diffu- sion deepfake speech dataset,

Reference 35

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source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:61611c0e219ab417c4966b782b189e83040f7f3923bd909bfd0bc0da77a3efad

Observation 2d8e481a-df36-451c-bcea-e29541430010 · outbound

This paper cites Codecfake: Enhancing anti-spoofing models against deepfake audios from codec-based speech synthesis systems,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Codecfake: Enhancing anti-spoofing models against deepfake audios from codec-based speech synthesis systems,

Reference 36

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no resolver link, observed 2026-06-27T19:36:37.333042Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:7dc64e4a3d6e0a5599233d70fcfb28e586c1559ff9a07606369b0a4b303e5611

Observation d4001481-6de8-4040-bc75-523d7e8a6956 · outbound

This paper cites The codecfake dataset and countermeasures for the universally detection of deepfake audio,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis The codecfake dataset and countermeasures for the universally detection of deepfake audio,

Reference 37

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unresolved
no resolver link, observed 2026-06-27T19:36:37.333042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:3b57caa4cc77135eb3192ba76b8f1b028ec2b7a406392b3c50f129e824c4b14a

Observation eaf42cc6-7dae-4e44-afbd-25ed18365f92 · outbound

This paper cites Collecting, curating, and annotating good qual- ity speech deepfake dataset for famous figures: Process and chal- lenges,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Collecting, curating, and annotating good qual- ity speech deepfake dataset for famous figures: Process and chal- lenges,

Reference 38

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unresolved
no resolver link, observed 2026-06-27T19:36:37.333042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:b15bacd793a5ecc34d88b841589b253e37d1eb32ea4fc1b1d8f043fb46c02970

Observation b7a8fd68-cbf8-40d8-b1c4-d2bf8e18eff9 · outbound

This paper cites Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection

Reference 39

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verified exact
local_arxiv, observed 2026-07-02T21:37:25.486076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:86ee2344aa708b6d785632b5234cb3926137b01185239dd7b5731103ffe19ee6

Observation 0ef1658b-9b3d-45ba-a53c-d11e768ef690 · outbound

This paper cites Fake Speech Wild: Detecting Deepfake Speech on Social Media Platform.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Fake Speech Wild: Detecting Deepfake Speech on Social Media Platform

Reference 40

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verified exact
arxiv_id, observed 2026-07-02T21:37:25.488616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:c0bbe2b141e4bd4f9d4ddabc80b5fdc43203dd01b4bcc3e41a76b6e392c0a8ba

Observation 75aea1f0-66ce-42d2-97ed-a93799661c7a · outbound

This paper cites Does audio deepfake detection generalize?.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Does audio deepfake detection generalize?

Reference 41

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unresolved
no resolver link, observed 2026-06-27T19:36:37.333042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:10c792de6850f2851f02b83ad5bf9176b87f4115bdb59d9cba361b5a83541088

Observation 288b955f-2b85-43ea-9816-86170a2faf6c · outbound

This paper cites RTCFake: Speech Deepfake Detection in Real-Time Communication.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis RTCFake: Speech Deepfake Detection in Real-Time Communication

Reference 42

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verified exact
local_arxiv, observed 2026-07-02T21:37:25.480999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:e16a454bda2b3b75e82d93d94d3bbd19889ecbe7613bda1427dd5b2a75a8725f

Observation 015d2430-0a5e-471b-9338-7755d1ec72fb · outbound

This paper cites V oicewukong: Benchmarking deepfake voice detection,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis V oicewukong: Benchmarking deepfake voice detection,

Reference 43

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unresolved
no resolver link, observed 2026-06-27T19:36:37.333042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:ead9b36220e9054cd65be42c4d397d0f8615690a636d73c2dfd439b831dc950a

Observation 076b673f-8e79-4d48-8fbd-df199b2e884c · outbound

This paper cites Mlaad: The multi- language audio anti-spoofing dataset,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Mlaad: The multi- language audio anti-spoofing dataset,

Reference 44

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unresolved
no resolver link, observed 2026-06-27T19:36:37.333042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:d4b95691886ef42cfe7423153f5f098a0854c0c2a3411834aa78378c9f0aeec4

Observation 39f8831e-3922-48e3-a515-16adc0022426 · outbound

This paper cites Cross-Domain Audio Deepfake Detection: Dataset and Analysis.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Cross-Domain Audio Deepfake Detection: Dataset and Analysis

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:37:25.478644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:855d7e1d0ccdb927b273a3fd3227891e37c08ae757fd270d4f7e165f31c45be8

Observation a48c2bea-f5a6-408c-981a-82c4640f87a3 · outbound

This paper cites Raw- boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Raw- boost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing,

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:b8ff037ee720b753bc63f4d5aeef3d2d90d5f3e4d97700d2294c5beed28f27cd

Pith citing papers

Observation d9848da5-d60b-49f6-9c2e-e511306fa3f5 · inbound

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis cites this paper.

Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis Exploring the Scale and Diversity of Speech Anti-spoofing Datasets: Experiments and Analysis

Reference 1

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verified exact
local_arxiv, observed 2026-07-02T21:37:25.491658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:36:37.333042Z digest=sha256:4c46be3187b2cf2c0b83e2e5a1142d5f51508e4ceae335e0f2370d6b0f344d2c