Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T04:34:59.205522Z
Paper Citation Record · LEDGER
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 12 inbound Pith citation observations for arXiv:2401.09512.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:15:07.510122Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T07:49:39.214744Z
Reference resolution
71 of 71 outbound references displayed
- verified exact15
- verified fuzzy54
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 808f1224-10a5-4fd8-a8bd-a1097b748552 · outbound
This paper cites Par- rotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Par- rotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.365337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b438d230-cd1d-4b83-a1ea-1c042c7db4c6 · outbound
This paper cites Apple introduces new features for cognitive accessibility, along with live speech, personal voice, and point and speak in magnifier.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Apple introduces new features for cognitive accessibility, along with live speech, personal voice, and point and speak in magnifier
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.444015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cf44f0a7-b460-435b-a7ee-6c1630421f80 · outbound
This paper cites Fraudsters cloned company director’s voice in $35 million bank heist, police find.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Fraudsters cloned company director’s voice in $35 million bank heist, police find
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.436765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cbb33c1c-fac4-48b8-8d73-7870b72ea111 · outbound
This paper cites Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Asvspoof 2019: A large-scale public database of synthesized, converted and replayed speech
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.351998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 05dae2c3-69ae-4b15-81f8-a7ae626836d8 · outbound
This paper cites Content authenticity initiative.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Content authenticity initiative
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.344002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 124dbd97-95f1-4605-847d-42acd8c4b935 · outbound
This paper cites Does Audio Deepfake Detection Generalize?.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Does Audio Deepfake Detection Generalize?
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.340090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 876ac944-a73f-43ff-9fcd-e2fd46603cbf · outbound
This paper cites ”ai putin.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset ”ai putin
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.847837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4594d6b4-536c-486e-be61-df40f2405cd3 · outbound
This paper cites Deepfake elections: How indian politicians are using ai-manipulated media to malign.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Deepfake elections: How indian politicians are using ai-manipulated media to malign
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.405271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2c584827-31dd-47de-9e83-e8cf5d52b613 · outbound
This paper cites Intelligence artificielle: quand un deepfake d’emmanuel macron emballe la toile.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Intelligence artificielle: quand un deepfake d’emmanuel macron emballe la toile
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.432310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b2a638a0-7470-40c8-aa95-7aaead941c77 · outbound
This paper cites The m-ailabs speech dataset.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset The m-ailabs speech dataset
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.463642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 96879099-b019-477b-9a40-640aafe75f66 · outbound
This paper cites Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Asvspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.262637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a44f3bd9-cb56-4a75-8796-6acd31e6802f · outbound
This paper cites ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.842260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a028c2c-f3f2-4398-9930-9b02bfd5eb48 · outbound
This paper cites FakeA VCeleb: A novel audio-video multimodal deepfake dataset.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset FakeA VCeleb: A novel audio-video multimodal deepfake dataset
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.250445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation da66dd67-5b05-488f-8889-80bb71bbdb9a · outbound
This paper cites For: A dataset for synthetic speech detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset For: A dataset for synthetic speech detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.396819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7edac77c-0ba5-4f99-a008-4fe79acea42f · outbound
This paper cites Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.305100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb6de2f1-419d-466a-8ee8-27ceb5988475 · outbound
This paper cites The partialspoof database and countermeasures for the detection of short fake speech segments embedded in an utterance.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset The partialspoof database and countermeasures for the detection of short fake speech segments embedded in an utterance
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.391418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation df4cab78-f5f5-4fa5-8fe5-492765d66d63 · outbound
This paper cites WaveFake: A Data Set to Facilitate Audio Deepfake Detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.320866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 734a6cbf-8b76-4b6f-a831-367676425568 · outbound
This paper cites Add 2022: the first audio deep synthesis detection challenge.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Add 2022: the first audio deep synthesis detection challenge
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.242637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e75da851-9130-412a-ac3d-1ef7c52da45d · outbound
This paper cites ADD 2023: the Second Audio Deepfake Detection Challenge.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset ADD 2023: the Second Audio Deepfake Detection Challenge
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.831007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1e28c01f-001c-42d2-8225-59248138be8d · outbound
This paper cites Fmfcc-a: a challenging mandarin dataset for synthetic speech detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Fmfcc-a: a challenging mandarin dataset for synthetic speech detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.258437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f047005f-a1cf-49bd-b811-9015c5807473 · outbound
This paper cites Half- Truth: A Partially Fake Audio Detection Dataset.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Half- Truth: A Partially Fake Audio Detection Dataset
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.238881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bee55c41-7d68-4d44-9251-ee43c6e692c7 · outbound
This paper cites CFAD: A Chinese Dataset for Fake Audio Detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset CFAD: A Chinese Dataset for Fake Audio Detection
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.874109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0bbc82a5-d936-446f-9c4d-0bb4789ae5da · outbound
This paper cites Natural tts synthesis by conditioning wavenet on mel spectrogram predictions.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.324820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39c9da88-a51f-41c6-9509-d6c0e4cf19ff · outbound
This paper cites SpeedySpeech: Efficient Neural Speech Syn- thesis.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset SpeedySpeech: Efficient Neural Speech Syn- thesis
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.254269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fbece7d4-c200-461f-a8ae-be65655fed70 · outbound
This paper cites Better speech synthesis through scaling.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Better speech synthesis through scaling
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.894144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f8b2ad1e-6fe9-40d6-a176-5329bd97e9a0 · outbound
This paper cites Xtts: Open model release announcement.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Xtts: Open model release announcement
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.246433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bf00bf1b-b98e-4da4-a89b-aa7708579698 · outbound
This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.269262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dbc1406e-ae90-45fa-aa89-b722b9da07b1 · outbound
This paper cites Fastpitch: Parallel text-to-speech with pitch prediction.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Fastpitch: Parallel text-to-speech with pitch prediction
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.317162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eaae201b-619b-4fe0-8077-08fd0f6b7c93 · outbound
This paper cites Effective use of variational embedding capacity in expressive end-to-end speech synthesis.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Effective use of variational embedding capacity in expressive end-to-end speech synthesis
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.328393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 125bd68c-e8c0-4fe7-a11f-2c1873b6e3ab · outbound
This paper cites YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.854283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c30981bb-b268-4bc8-89bf-4c0dd35f9b7d · outbound
This paper cites Glow-tts: A generative flow for text-to-speech via monotonic alignment search.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Glow-tts: A generative flow for text-to-speech via monotonic alignment search
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.229014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dd3391bc-78ac-43b9-aa45-04b0481fa3f2 · outbound
This paper cites OverFlow: Putting flows on top of neural transducers for better TTS.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset OverFlow: Putting flows on top of neural transducers for better TTS
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.285247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f320e7aa-8cc8-4c3b-aac3-75aba94e2b8a · outbound
This paper cites StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding V oice Conversion.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding V oice Conversion
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.221083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56af64e4-d0a4-46f5-90a5-87e87516aa9f · outbound
This paper cites Freevc: Towards high-quality text-free one-shot voice conversion.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Freevc: Towards high-quality text-free one-shot voice conversion
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.273330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 088f2db2-d047-4f62-b26f-086a53167e65 · outbound
This paper cites ESPnet: End-to-end speech processing toolkit.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset ESPnet: End-to-end speech processing toolkit
Reference 35
- Resolution
- verified exact
- doi, observed 2026-05-24T04:36:00.678898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8feba14f-523d-4890-94ba-8001c402b0e3 · outbound
This paper cites Coqui TTS.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Coqui TTS
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.225032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f62a56db-64e8-4e89-93b1-f5e653391eb3 · outbound
This paper cites SpeechBrain.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset SpeechBrain
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.281659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7cc98168-cfc5-4ffa-bcf2-f8a15d2fbb96 · outbound
This paper cites Transformers: State-of-the-Art Natural Language Processing.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Transformers: State-of-the-Art Natural Language Processing
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.212812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91083d5d-6957-4100-aa54-0ae8c47fca49 · outbound
This paper cites The lj speech dataset.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset The lj speech dataset
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.313220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 65b8a90b-e07b-4949-a068-3d50499c48a1 · outbound
This paper cites The blizzard challenge 2013.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset The blizzard challenge 2013
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.308683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c4a0207f-eb34-4792-89a7-d814591b67f0 · outbound
This paper cites CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.208673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4aef2621-42d3-4438-922b-61d49c88e414 · outbound
This paper cites Common voice: A massively-multilingual speech corpus.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Common voice: A massively-multilingual speech corpus
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.216369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e89228ad-4698-4db7-9d96-6d6c333d2587 · outbound
This paper cites Thorsten-voice dataset 2022.10.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Thorsten-voice dataset 2022.10
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.232999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 952fa394-f99e-4945-922e-a4da31cf48e3 · outbound
This paper cites Available: https://doi.org/10.5281/zenodo.7265581.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Available: https://doi.org/10.5281/zenodo.7265581
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-24T04:36:00.683400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b165b99f-c259-4e64-b943-dc0be9d2f43a · outbound
This paper cites Github - dioco-group/jenny-tts-dataset: A high-quality, varied ˜30hr voice dataset suitable for training a tts model.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Github - dioco-group/jenny-tts-dataset: A high-quality, varied ˜30hr voice dataset suitable for training a tts model
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.293597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 908440f2-94d1-421c-8627-953441e50a69 · outbound
This paper cites End-to-end anti-spoofing with rawnet2.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset End-to-end anti-spoofing with rawnet2
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.332805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 003e6d05-7ce2-48a7-be3f-e58cb7362464 · outbound
This paper cites End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.836441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d101a1f-a42b-477a-8979-ba5488cb4030 · outbound
This paper cites Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.336251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 01a941be-295e-4c94-8135-e3d9d40784a8 · outbound
This paper cites Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.869438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e19941af-a19f-45d8-8b6e-d11b01546982 · outbound
This paper cites A comparison of features for synthetic speech detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset A comparison of features for synthetic speech detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.355920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f434da85-68bc-4937-ab16-af4adc32bf8c · outbound
This paper cites A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.386695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91180a9f-8384-4910-a5d2-2c74d7f15630 · outbound
This paper cites Mesonet: a compact facial video forgery detection network.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Mesonet: a compact facial video forgery detection network
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.289194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3e0fb543-0652-4e72-9261-d3ffa21525a3 · outbound
This paper cites Specrnet: Towards faster and more ac- cessible audio deepfake detection.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Specrnet: Towards faster and more ac- cessible audio deepfake detection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.448660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 60d218e1-d25c-4aba-bc66-426d20574b6d · outbound
This paper cites Fake speech detection using residual network with transformer encoder.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Fake speech detection using residual network with transformer encoder
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.297200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 809b3c36-137a-456d-ac08-d8e9e2dcac40 · outbound
This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.864687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 62cc9a17-1e1d-4a8b-868b-d302098802f2 · outbound
This paper cites The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.301332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a39b0edf-1ca7-49e6-a60c-5fa8c0c94e5f · outbound
This paper cites Improved DeepFake Detection Using Whisper Features.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Improved DeepFake Detection Using Whisper Features
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.277420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a7162198-a7a4-40da-9b90-f657223c90ec · outbound
This paper cites Complex-valued neural networks for voice anti-spoofing.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Complex-valued neural networks for voice anti-spoofing
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.379484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7a8e2b82-3e3f-4017-9bcc-f0f6ddf4772b · outbound
This paper cites AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.879524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e3eda89a-ac07-4bb2-bb50-a753cfc2b385 · outbound
This paper cites nmt · pypi.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset nmt · pypi
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.467976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 17ac8818-e7e4-41e5-873e-8850664dc161 · outbound
This paper cites Signal estimation from modified short-time fourier transform.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Signal estimation from modified short-time fourier transform
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.471654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e3d61ba3-faed-4c9c-a3ef-41e280caaed2 · outbound
This paper cites Scaling Speech Technology to 1,000+ Languages.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Scaling Speech Technology to 1,000+ Languages
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.889425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 90df24ff-00f8-4043-ac03-6c94bbf65ebd · outbound
This paper cites Sam: Accenture non-binary voice.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Sam: Accenture non-binary voice
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.474893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fd2a5bba-acec-4ddc-a96d-6252c3af590a · outbound
This paper cites Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.427686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e318fcfe-0062-47e8-864a-84e44adb46e6 · outbound
This paper cites A study on data augmentation of reverberant speech for robust speech recognition.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset A study on data augmentation of reverberant speech for robust speech recognition
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.454310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 956fcf37-fdfa-40ba-a178-90e0f7c0eb84 · outbound
This paper cites ESC: Dataset for Environmental Sound Classification.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset ESC: Dataset for Environmental Sound Classification
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T04:36:00.824662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4300f20a-3534-4979-a9d2-c83b92c67b10 · outbound
This paper cites Free music archive - instrumental.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Free music archive - instrumental
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.459331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 83fb749a-5154-4c42-89d9-b5cce88982f2 · outbound
This paper cites MUSAN: A Music, Speech, and Noise Corpus.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset MUSAN: A Music, Speech, and Noise Corpus
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T04:36:00.884639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b5146934-6c6f-4c46-971e-98b7caa7daa7 · outbound
This paper cites Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:36:00.859108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c3064aa4-5103-44c6-9861-8142d5fdd547 · outbound
This paper cites openai/whisper-large · hugging face.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset openai/whisper-large · hugging face
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T04:36:01.421257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 227833c9-197f-45f1-b662-c8dd14e1b99c · outbound
This paper cites Binary codes capable of correcting deletions, insertions, and reversals.
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset Binary codes capable of correcting deletions, insertions, and reversals
Reference 71
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-24T04:36:01.410534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 5d3ad597-53a0-4044-90d3-f85f95048929 · inbound
From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview cites this paper.
From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:15:07.510122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a70851d6-14f8-4366-a3e2-744145c65079 · inbound
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes cites this paper.
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:57:20.907670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b96ba7bc-01db-44b9-b21e-dbea8a587c4b · inbound
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components cites this paper.
Towards Explainable Spoofed Speech Attribution and Detection:a Probabilistic Approach for Characterizing Speech Synthesizer Components MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:48:28.837316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66316a3a-d344-4529-a0f6-9e974b92de00 · inbound
Enhancing In-Domain and Out-Domain EmoFake Detection via Cooperative Multilingual Speech Foundation Models cites this paper.
Enhancing In-Domain and Out-Domain EmoFake Detection via Cooperative Multilingual Speech Foundation Models MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:49:27.535796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d9e9765-b01b-4418-846d-1ffee2cf5a03 · inbound
SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods cites this paper.
SpeechFake: A Large-Scale Multilingual Speech Deepfake Dataset Incorporating Cutting-Edge Generation Methods MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:49:19.818966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e25cfc55-f110-4080-aefb-f4ff357bbc0a · inbound
Generalizable Audio Spoofing Detection using Non-Semantic Representations cites this paper.
Generalizable Audio Spoofing Detection using Non-Semantic Representations MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:55:18.739632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f76eaf6c-5b5c-4348-b130-a09db64bd8a7 · inbound
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems cites this paper.
Bona fide Cross Testing Reveals Weak Spot in Audio Deepfake Detection Systems MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:37:19.904207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e551916c-98a7-49e7-bebd-1a6e8010dfc0 · inbound
Evaluating Generalization and Robustness in Russian Anti-Spoofing: The RuASD Initiative cites this paper.
Evaluating Generalization and Robustness in Russian Anti-Spoofing: The RuASD Initiative MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:05:24.831545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 607d1f7b-2846-492d-a5b5-bab229e87ced · inbound
Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning cites this paper.
Anchoring the Unknown: Open-Set Model Attribution via Proxy-Anchor Learning MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T07:47:44.693292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 282a144c-9432-45e8-9d1b-dd1f5d92d74a · inbound
Ethical and Technical Limits of Deepfake Speech Datasets cites this paper.
Ethical and Technical Limits of Deepfake Speech Datasets MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T07:57:44.364399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 06bf7587-1f3e-4ce2-a1cb-cc521333fb60 · inbound
The Hidden Cost of Pairwise Verification in Synthetic Speech Source Tracing cites this paper.
The Hidden Cost of Pairwise Verification in Synthetic Speech Source Tracing MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T12:58:08.620251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2a024c58-29c0-42b0-87f0-50a03d554917 · inbound
When EER Hides Deployment Failure: Auditing Threshold Transfer and Unlabeled Score Calibration for Speech Deepfake Detectors cites this paper.
When EER Hides Deployment Failure: Auditing Threshold Transfer and Unlabeled Score Calibration for Speech Deepfake Detectors MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T07:49:39.216139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.