Paper Citation Record · LEDGER

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.24713.

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

pith.paper-citation-record.v1
2505.24713 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:25.078109Z

measured 40 of 40 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 2026-08-07T12:22:21.218125Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:22:25.321930Z

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy28
unresolved6
parse uncertain0
malformed identifier3
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea8c54be-c60f-4183-8128-d80dcd7342ff · outbound

This paper cites Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:22:25.394382Z

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 d5066652-8d70-4db6-8689-ad98cb76e808 · outbound

This paper cites Given an Arabic speech sample x, the goal is to predict the speaker’s dialecty ∈ Y, where Y is a closed set of dialects.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Given an Arabic speech sample x, the goal is to predict the speaker’s dialecty ∈ Y, where Y is a closed set of dialects

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:31.047787Z

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 39643ec3-53d9-4135-bfc7-aee4760be8ea · outbound

This paper cites an unresolved cited work.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Unresolved cited work

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:22:30.886003Z

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 bfd1b7ad-9b48-4032-85ff-80b7c05274df · outbound

This paper cites an unresolved cited work.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Unresolved cited work

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:22:30.479830Z

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 b63c509e-7a79-48b0-abd0-2a8e992a82a6 · outbound

This paper cites The dialect labels were then verified by another native Arabic speaker with competence and keen interest in different Arabic dialects.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification The dialect labels were then verified by another native Arabic speaker with competence and keen interest in different Arabic dialects

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:30.727493Z

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 3c7ed763-6684-45f2-9a4c-a57fd10b472f · outbound

This paper cites in-the-wild.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification in-the-wild

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:22:30.316233Z

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 ae864c60-3401-46f9-9325-1d7a1c09752d · outbound

This paper cites Here, we investigate why voice conversion yields such substantial im- provements and better cross-domain generalizations.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Here, we investigate why voice conversion yields such substantial im- provements and better cross-domain generalizations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:30.157108Z

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 191e4743-04dc-4368-b334-ca83ffca16f7 · outbound

This paper cites The remarkable performance gain achieved through voice conversion (+34.07% cross-domain) cannot be matched by traditional data augmentation techniques.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification The remarkable performance gain achieved through voice conversion (+34.07% cross-domain) cannot be matched by traditional data augmentation techniques

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.971344Z

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 1d063618-58a8-4060-aeb7-30198eaa1b40 · outbound

This paper cites We sincerely thank Aravind Krishnan for his valuable com- ments on the work presented in this paper.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification We sincerely thank Aravind Krishnan for his valuable com- ments on the work presented in this paper

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.771394Z

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 d54c820e-70c4-42d1-b0ce-394fb9c84871 · outbound

This paper cites Brown and S.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Brown and S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.583121Z

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 4a02f77e-c89a-4b92-ac0b-ff095480d74c · outbound

This paper cites an unresolved cited work.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:29.434966Z

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 bdf6446b-351c-4691-adde-a430e9b8f6b3 · outbound

This paper cites an unresolved cited work.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:29.252638Z

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 765ddd15-5527-4235-a7ad-b384a5d1f5b9 · outbound

This paper cites Casablanca: Data and models for multidialectal Arabic speech recognition,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Casablanca: Data and models for multidialectal Arabic speech recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.128982Z

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 606c42cf-a1e0-4a66-9d86-8d99684e5603 · outbound

This paper cites V oxArabica: A robust dialect-aware Arabic speech recognition system,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification V oxArabica: A robust dialect-aware Arabic speech recognition system,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.948688Z

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 75fe98b9-4c02-43cf-90bb-e7c901d30345 · outbound

This paper cites On the robust- ness of arabic speech dialect identification,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification On the robust- ness of arabic speech dialect identification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.769227Z

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 5f536511-58ea-4645-81df-1cae37075ad4 · outbound

This paper cites Speech recognition challenge in the wild: Arabic mgb-3,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Speech recognition challenge in the wild: Arabic mgb-3,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.598984Z

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 328dff7e-0fab-4197-ba8e-3d98137ade6e · outbound

This paper cites Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:22:25.239304Z

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 4e5a3fdc-20cf-4cad-b755-a63a8f903ef8 · outbound

This paper cites The mgb-5 challenge: Recogni- tion and dialect identification of dialectal arabic speech,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification The mgb-5 challenge: Recogni- tion and dialect identification of dialectal arabic speech,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.443528Z

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 b7df6ba5-dcba-46df-a09c-1dd4e8171048 · outbound

This paper cites Transformer-based arabic dialect identification,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Transformer-based arabic dialect identification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.268107Z

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 c39e4e1d-c2e7-4feb-b4e2-dd316d5c87fd · outbound

This paper cites Yet another model for arabic di- alect identification,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Yet another model for arabic di- alect identification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.083043Z

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 54a8b288-d6bd-4622-ade6-effdf262f134 · outbound

This paper cites An overview of voice conversion systems,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification An overview of voice conversion systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.848235Z

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 668cda19-d61d-47ed-90c6-41fb20615ee0 · outbound

This paper cites V oice conversion can improve asr in very low-resource settings,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification V oice conversion can improve asr in very low-resource settings,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.663697Z

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 68d8ede3-5908-4441-bd56-7b14e3e246d7 · outbound

This paper cites Asr data augmentation in low- resource settings using cross-lingual multi-speaker tts and cross- lingual voice conversion,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Asr data augmentation in low- resource settings using cross-lingual multi-speaker tts and cross- lingual voice conversion,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.479370Z

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 28128f69-6139-45a4-baea-5522e307ae03 · outbound

This paper cites V oice conversion based aug- mentation and a hybrid cnn-lstm model for improving speaker- independent keyword recognition on limited datasets,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification V oice conversion based aug- mentation and a hybrid cnn-lstm model for improving speaker- independent keyword recognition on limited datasets,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:23.892396Z

Source-reported events for the cited work

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Observation d3d04ce5-6289-41be-b33c-81cf084e5cf7 · outbound

This paper cites V oice conversion with just nearest neighbors,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification V oice conversion with just nearest neighbors,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.320262Z

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 834f90cb-3448-4592-9a59-2e1fc022d84c · outbound

This paper cites Autovc: Zero-shot voice style transfer with only au- toencoder loss,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Autovc: Zero-shot voice style transfer with only au- toencoder loss,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.152648Z

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 dfefc6e0-e2c5-4f0b-b72a-45f32d9b25b2 · outbound

This paper cites Speech resynthesis from dis- crete disentangled self-supervised representations,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Speech resynthesis from dis- crete disentangled self-supervised representations,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.014099Z

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 0c9b6f57-1d0a-4a8d-aa11-876c809b8ff2 · outbound

This paper cites Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Hifi-gan: Generative adversarial net- works for efficient and high fidelity speech synthesis,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:24.171290Z

Source-reported events for the cited work

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Observation b0659643-036c-456a-b045-234f91e1b96a · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.822805Z

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 a88407e3-9902-4a4d-8edc-8bac88fc20a4 · outbound

This paper cites Where are you from? geolocating speech and ap- plications to language identification,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Where are you from? geolocating speech and ap- plications to language identification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.673616Z

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 2c7faa78-ed01-4e63-9182-4d59d3105bf1 · outbound

This paper cites Multilingual tedx corpus for speech recognition and translation,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Multilingual tedx corpus for speech recognition and translation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.495600Z

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 f66e6c31-1e80-423c-babf-7962ff479148 · outbound

This paper cites Estimating the level of dialectness predicts inter-annotator agreement in multi-dialect Arabic datasets,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Estimating the level of dialectness predicts inter-annotator agreement in multi-dialect Arabic datasets,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.332184Z

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 e6113a34-dd1b-4d10-bfe9-0142e390ab80 · outbound

This paper cites ALDi: Quantifying the Arabic level of dialectness of text,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification ALDi: Quantifying the Arabic level of dialectness of text,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.157690Z

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 27496639-603b-4d59-b6b3-d1e79c1066e8 · outbound

This paper cites When sparse traditional models outperform dense neural networks: the curious case of discriminating between similar languages,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification When sparse traditional models outperform dense neural networks: the curious case of discriminating between similar languages,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.018218Z

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 a52196c9-a31e-49ea-906f-7070445c58b5 · outbound

This paper cites The interplay of variant, size, and task type in Arabic pre-trained language models,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification The interplay of variant, size, and task type in Arabic pre-trained language models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.873388Z

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 2803f510-3a0a-4b53-b290-44c1a25c9ec5 · outbound

This paper cites XLSR-53: Uni- versal cross-lingual speech representations,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification XLSR-53: Uni- versal cross-lingual speech representations,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.725243Z

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 42330f3e-2cd8-4427-88e0-156b26ca0ee5 · outbound

This paper cites XLS-R: Self-supervised cross-lingual speech representa- tion learning at scale,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification XLS-R: Self-supervised cross-lingual speech representa- tion learning at scale,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.577428Z

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 de3ed23a-903d-4818-8825-a160ae0f07dc · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification Scaling speech technology to 1,000+ languages,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:24.962498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974d7c12-8406-4e69-b24f-5ba4d2980927 · outbound

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

Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification MUSAN: A Music, Speech, and Noise Corpus

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:25.078109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ea8c54be-c60f-4183-8128-d80dcd7342ff · inbound