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Paper Citation Record · LEDGER

Comparative Analysis of ASR Methods for Speech Deepfake Detection

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.17349.

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

pith.paper-citation-record.v1
2411.17349 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:17:09.967953Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e79e0bc8-bcc7-4840-852b-4db23dd2207c · outbound

This paper cites AI-synthesized faces are indistinguish- able from real faces and more trustworthy,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AI-synthesized faces are indistinguish- able from real faces and more trustworthy,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.206515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1245c9e8-e025-45de-878c-67076754ae9f · outbound

This paper cites Open challenges in synthetic speech detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Open challenges in synthetic speech detection,

Reference 2

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raw_fallback, observed 2026-08-12T12:17:10.197857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0a35ce66-c303-41a0-b520-1c6fe7e64df0 · outbound

This paper cites An Overview of Recent Work in Mul- timedia Forensics,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection An Overview of Recent Work in Mul- timedia Forensics,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:10.188972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d9a602cf-9c57-42ff-be15-554a6fd56ea1 · outbound

This paper cites AI-Synthesized V oice Detection Using Neural V ocoder Artifacts,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AI-Synthesized V oice Detection Using Neural V ocoder Artifacts,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a73cb0f4-ccbf-47d8-b9e6-728128bc7d1c · outbound

This paper cites AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks,

Reference 5

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raw_fallback, observed 2026-08-12T12:17:10.171666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.905115Z digest=sha256:6f649024d366786aba42b1a550dfcccb2c3dff3107dba00a0b4b3eb0d5f87883

Observation 7a2d0516-a63c-4d0e-89e6-b489c3afd025 · outbound

This paper cites Combin- ing Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Combin- ing Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection,

Reference 6

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raw_fallback, observed 2026-08-12T12:17:10.161037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 25a46431-dd31-46db-8b1e-9f6f4413be80 · outbound

This paper cites A robust audio deepfake detection system via multi-view feature,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection A robust audio deepfake detection system via multi-view feature,

Reference 7

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raw_fallback, observed 2026-08-12T12:17:10.152711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.911737Z digest=sha256:2bc8edd6b78a416e0ed348ba72fd3dcebc9d9bad3e6b7213f5c883552969c19c

Observation 3738444e-4290-4ec4-a4ed-e43db1028dd5 · outbound

This paper cites Fairssd: Understanding bias in synthetic speech detectors,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Fairssd: Understanding bias in synthetic speech detectors,

Reference 8

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raw_fallback, observed 2026-08-12T12:17:10.143307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.914977Z digest=sha256:1a2b5115c2cb600a7d12d1926ef85a2b7ad7e31caddbd85aafb7cbccad3357f0

Observation 8684edb9-b405-4062-bf48-d6873b8692ea · outbound

This paper cites Reliability estimation for syn- thetic speech detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Reliability estimation for syn- thetic speech detection,

Reference 9

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raw_fallback, observed 2026-08-12T12:17:10.133630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5624482e-ebe8-4a4c-b7f9-bf9b450500fe · outbound

This paper cites Is Synthetic V oice Detection Research Going Into the Right Direction?.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Is Synthetic V oice Detection Research Going Into the Right Direction?

Reference 10

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raw_fallback, observed 2026-08-12T12:17:10.124372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fc53ef95-26f1-46a0-9e8b-29a1d7df7090 · outbound

This paper cites Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1f898512-9fc8-4559-b7e8-c9e71f5a2333 · outbound

This paper cites Improving Domain Gen- eralization in Speech Emotion Recognition with Whisper,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improving Domain Gen- eralization in Speech Emotion Recognition with Whisper,

Reference 12

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raw_fallback, observed 2026-08-12T12:17:10.106134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.927330Z digest=sha256:d4b362ec6b7cd00b1a5090a52ea182c64df51e9b3da49b80b71b636b3942d4ef

Observation 661f3216-0242-45d0-8085-2ee7c0d39b2e · outbound

This paper cites Addressing Data Scarcity in V oice Disorder Detection with Self- Supervised Models,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Addressing Data Scarcity in V oice Disorder Detection with Self- Supervised Models,

Reference 13

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raw_fallback, observed 2026-08-12T12:17:10.096637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.930148Z digest=sha256:50061f038462e360012993ed906e11fb749a0e491ffd9893602c81f59ce746b1

Observation b4f626d9-408c-439a-ba91-2047aec8e1e5 · outbound

This paper cites Automatic Speaker Verification Spoofing and Deepfake Detection Us- ing Wav2vec 2.0 and Data Augmentation,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Automatic Speaker Verification Spoofing and Deepfake Detection Us- ing Wav2vec 2.0 and Data Augmentation,

Reference 14

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raw_fallback, observed 2026-08-12T12:17:10.088020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 23d3a2d9-f893-49ca-98e6-0790075384a7 · outbound

This paper cites Improved DeepFake Detection Using Whisper Features,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improved DeepFake Detection Using Whisper Features,

Reference 15

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raw_fallback, observed 2026-08-12T12:17:10.078574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.937273Z digest=sha256:c8ec026de45a3e8fda4d394c1f8479d98229fbc4322b020ad6069bbbf0f28e6f

Observation 60f51878-7c1e-4b38-9d82-32d0ce65534e · outbound

This paper cites Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier,

Reference 16

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raw_fallback, observed 2026-08-12T12:17:10.069067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.940171Z digest=sha256:58bb545a5d3525552a88ad439b6d6afc4202d6ba9f0faca851d01cf2279c647e

Observation dd5184c0-f2c8-448c-b999-f072bd6b4324 · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Robust speech recognition via large-scale weak super- vision,

Reference 17

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raw_fallback, observed 2026-08-12T12:17:10.059627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5bf10a77-66eb-4c97-8b07-b9e6b5091fee · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 18

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unresolved
no resolver link, observed 2026-08-12T12:17:09.946914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:17:09.946914Z digest=sha256:9516718cdbddf14d53e8bab79256febefcc39730707bd7312c3f6e79562568f9

Observation 3e6450de-828a-4ce0-868e-9fff77f65d36 · outbound

This paper cites Improved DeepFake Detection Using Whisper Features,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Improved DeepFake Detection Using Whisper Features,

Reference 19

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raw_fallback, observed 2026-08-12T12:17:10.045560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.950259Z digest=sha256:28fb73a151d718c27c59887e429e1fc7f3d1223d2fd9238a94c8c52eddb145e5

Observation 07413c57-1850-4e17-ba81-9c9155666464 · outbound

This paper cites ASVspoof 2019: Future horizons in spoofed and fake audio detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection ASVspoof 2019: Future horizons in spoofed and fake audio detection,

Reference 20

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raw_fallback, observed 2026-08-12T12:17:10.035604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.953078Z digest=sha256:6a2f6942219503f626c0ff71988d3ae92cc8ae8955e6247c20686f719ff8d987

Observation 3c6e8870-7763-4907-bc00-a63928660741 · outbound

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

Comparative Analysis of ASR Methods for Speech Deepfake Detection ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection,

Reference 21

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raw_fallback, observed 2026-08-12T12:17:10.025757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.955901Z digest=sha256:59bd57c7ad18cb8c330af3aa2ff755c302149d402aaab9ad37a14424648b7d57

Observation 634eb38a-a351-4ebe-ab99-e0554987c369 · outbound

This paper cites Does audio deepfake detection generalize?.

Comparative Analysis of ASR Methods for Speech Deepfake Detection Does audio deepfake detection generalize?

Reference 22

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raw_fallback, observed 2026-08-12T12:17:10.016816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.959321Z digest=sha256:eb11164039cde883d641a4c3359194207ae1cb859478fd4b8b82cc2e3e344c33

Observation 55aa3d60-8480-489f-922f-fcf62a9b32ed · outbound

This paper cites TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection,

Reference 23

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no resolver link, observed 2026-08-12T12:17:09.962128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:17:09.962128Z digest=sha256:cde252a18b4b7ebd127fae1de1d55d2bf611a0f7f4d1f3e52ebc8c382e91057f

Observation 85a09424-d8ba-48e9-9567-1564e031a133 · outbound

This paper cites The LJSpeech dataset,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection The LJSpeech dataset,

Reference 24

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raw_fallback, observed 2026-08-12T12:17:10.001253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.964848Z digest=sha256:c7d99a2e4e715e8c7d84f2101f0927d10f773e445d8bcd9554a7b2cbe9c4b3d3

Observation f7a4c972-5ca5-437c-a9af-710684c6e373 · outbound

This paper cites FoR: A dataset for synthetic speech detec- tion,.

Comparative Analysis of ASR Methods for Speech Deepfake Detection FoR: A dataset for synthetic speech detec- tion,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T12:17:09.992142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T12:17:09.967953Z digest=sha256:cd15a27478d9db8508e19045af9cfddfce3a82523481551166a278b91b926125

Pith citing papers

No inbound Pith citation observations are available.