Paper Citation Record · LEDGER

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2505.20564.

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

pith.paper-citation-record.v1
2505.20564 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:29.985902Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:56:25.830154Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

verified exact3
verified fuzzy29
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 11c1482e-737f-49a5-b229-e89af5940eed · outbound

This paper cites While notable progress has been made in speech processing, African languages – including our focus languages, Igbo, Hausa, and Yoruba – have largely been left behind [ 7, 8].

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages While notable progress has been made in speech processing, African languages – including our focus languages, Igbo, Hausa, and Yoruba – have largely been left behind [ 7, 8]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:37.383518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d6feb57-e0c6-4767-b7e1-11026b590d00 · outbound

This paper cites The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages

Reference 2

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Observation 9af524c3-5de4-4e79-9692-67bc1d436ff8 · outbound

This paper cites It features a wide range of speech patterns influenced by age, education levels, accents, and speaking styles – from broken to formal speech, ethnic and dialectal influences.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages It features a wide range of speech patterns influenced by age, education levels, accents, and speaking styles – from broken to formal speech, ethnic and dialectal influences

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:37.166709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ed4b76b-fcba-4576-a741-80f39a82d5fa · outbound

This paper cites Concretely, we finetune three selected ASR models on our dataset and evaluate them on both our test set (NV Test) and the FLEURS test set [20].

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Concretely, we finetune three selected ASR models on our dataset and evaluate them on both our test set (NV Test) and the FLEURS test set [20]

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:56:30.806189Z

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Observation 203c6a02-ac4b-4ebf-bff6-8e7b517a217f · outbound

This paper cites Built on the principles of ‘data farming’, our approach fosters a symbiotic relationship with language communities.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Built on the principles of ‘data farming’, our approach fosters a symbiotic relationship with language communities

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:36.866653Z

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Observation 5db42c02-a711-4017-bd61-39da9762e4ee · outbound

This paper cites an unresolved cited work.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:56:36.719269Z

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Observation bb12c951-1bbc-4dd9-9b29-8f898acf4929 · outbound

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

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Robust speech recognition via large-scale weak supervision,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:36.513465Z

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Observation f421c7e7-1285-4a25-b393-dc14c5d0898b · outbound

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

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Scaling speech technology to 1,000+ languages,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:36.276579Z

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Observation 83d1bb78-5b5f-407a-81cd-9c9a17bc186b · outbound

This paper cites The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 9

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Source-reported events for the cited work

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Observation 44c787d9-56e3-4010-9eee-db697332afbe · outbound

This paper cites IndicVoices: Towards building an inclusive multilingual speech dataset for Indian languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages IndicVoices: Towards building an inclusive multilingual speech dataset for Indian languages,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:36.034575Z

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Observation e1b1d2cb-26c7-4fae-b3ce-93280571f454 · outbound

This paper cites IndicV oices-R: Unlocking a massive multilingual multi- speaker speech corpus for scaling indian TTS,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages IndicV oices-R: Unlocking a massive multilingual multi- speaker speech corpus for scaling indian TTS,

Reference 11

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Observation 89b175f2-8933-40e3-a822-0401697b2d10 · outbound

This paper cites BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

Reference 12

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Observation b8e8a9e4-8227-4f6c-a7af-ae01145eebfa · outbound

This paper cites Replication data for Igbo Natural Language Processing Tasks I,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Replication data for Igbo Natural Language Processing Tasks I,

Reference 13

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Observation bdfb1d8e-de7e-46a0-b35f-567ccf5dbe1a · outbound

This paper cites Multi- lingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Multi- lingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:35.621338Z

Source-reported events for the cited work

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Observation 9830b3b2-4efb-4e9c-95c7-851e53957cb6 · outbound

This paper cites Masakhane -- Machine Translation For Africa.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Masakhane -- Machine Translation For Africa

Reference 15

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Observation a4114642-5a1d-424e-89c3-e0f5d75afd6b · outbound

This paper cites Partici- patory research for low-resourced machine translation: A case study in African languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Partici- patory research for low-resourced machine translation: A case study in African languages,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:35.407955Z

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Observation 4ad9046d-5454-4b94-961f-eb494a51f6a6 · outbound

This paper cites The state and fate of linguistic diversity and inclusion in the NLP world,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages The state and fate of linguistic diversity and inclusion in the NLP world,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:35.176512Z

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Observation e8546569-57eb-4caa-8ebf-9c30d18b0c80 · outbound

This paper cites A few thousand trans- lations go a long way! Leveraging pre-trained models for African news translation,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages A few thousand trans- lations go a long way! Leveraging pre-trained models for African news translation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:35.026735Z

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Observation cffa84ed-3bc5-4ca7-bc9d-1a9b04888149 · outbound

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The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Unresolved cited work

Reference 19

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Observation f9a5659e-f323-45da-ad3a-76927b2cf504 · outbound

This paper cites GlobalPhone: A multi- lingual text & speech database in 20 languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages GlobalPhone: A multi- lingual text & speech database in 20 languages,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:34.531666Z

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Observation 99dd0dba-51ca-4205-97d5-99d22f6feba7 · outbound

This paper cites YFACC: A Yor`ub´a speech–image dataset for cross-lingual keyword localisation through visual grounding,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages YFACC: A Yor`ub´a speech–image dataset for cross-lingual keyword localisation through visual grounding,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:34.335515Z

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Observation 9c46c67d-597e-4272-8e55-8bb5173a78a1 · outbound

This paper cites \`{I}r\`{o}y\`{i}nSpeech: A multi-purpose Yor\`{u}b\'{a} Speech Corpus.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages \`{I}r\`{o}y\`{i}nSpeech: A multi-purpose Yor\`{u}b\'{a} Speech Corpus

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:56:30.593979Z

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Observation 305af219-7afc-4346-a0dd-8610269909f9 · outbound

This paper cites V oices Unheard: NLP resources and models for Yor`ub´a regional dialects,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages V oices Unheard: NLP resources and models for Yor`ub´a regional dialects,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:34.128670Z

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Observation 0a70f040-138c-4672-aea9-90a2801964fa · outbound

This paper cites BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:33.929958Z

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Observation 3147b531-225a-4bb9-ace9-2a0d06c27f34 · outbound

This paper cites Common V oice: A massively-multilingual speech corpus,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Common V oice: A massively-multilingual speech corpus,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:33.713462Z

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Observation a7193215-c851-4cc5-ba8c-f30b9d110db3 · outbound

This paper cites FLEURS: Few-shot learning evaluation of universal representations of speech,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages FLEURS: Few-shot learning evaluation of universal representations of speech,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:33.504591Z

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Observation cc6f6625-dab4-47ea-9537-5f679ec36301 · outbound

This paper cites Quality at a glance: An audit of web-crawled multilingual datasets,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Quality at a glance: An audit of web-crawled multilingual datasets,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:33.338427Z

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Observation 96873929-315a-446b-b9c0-09bbd1e25e6c · outbound

This paper cites Separating grains from the chaff: Using data filtering to improve multilingual translation for low-resourced African languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Separating grains from the chaff: Using data filtering to improve multilingual translation for low-resourced African languages,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:33.149536Z

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Observation 8bc08eac-f04b-4a3f-8b00-637b31757013 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 29

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Observation acc0dc36-868a-438c-abd2-87d3171859db · outbound

This paper cites JW300: A wide-coverage parallel corpus for low-resource languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages JW300: A wide-coverage parallel corpus for low-resource languages,

Reference 30

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Observation b7d45a26-68e8-4323-a7b1-ff71d126d160 · outbound

This paper cites `Ir`oy`ınspeech: Yor`ub´a speech corpus,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages `Ir`oy`ınspeech: Yor`ub´a speech corpus,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:32.809190Z

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Observation 26073f54-6068-493c-ac4a-fe7e5f0122ef · outbound

This paper cites Hausa speech corpus,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Hausa speech corpus,

Reference 32

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Observation c7af0928-5d8e-4744-88fe-e08c336cb797 · outbound

This paper cites Kencorpus: A Kenyan language corpus of Swahili, Dholuo and Luhya for natural language processing tasks,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Kencorpus: A Kenyan language corpus of Swahili, Dholuo and Luhya for natural language processing tasks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:32.526703Z

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Observation 2598dc06-a744-406e-8ddd-f238606782fa · outbound

This paper cites LIII. On lines and planes of closest fit to systems of points in space,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages LIII. On lines and planes of closest fit to systems of points in space,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:32.254430Z

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Observation cd5e4632-baf8-4fb5-b79a-656297daf12e · outbound

This paper cites Robust signal-to-noise ratio estima- tion based on waveform amplitude distribution analysis,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Robust signal-to-noise ratio estima- tion based on waveform amplitude distribution analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:31.952490Z

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Observation 5cca4861-c392-4c9a-b371-1c33e94ae017 · outbound

This paper cites Audio quality feature,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Audio quality feature,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:31.618588Z

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Observation a364f504-22f4-479d-bc69-db6c22758a11 · outbound

This paper cites (n.d.) Evaluation.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages (n.d.) Evaluation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:31.388331Z

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Observation 8f7bbb81-62db-4296-bed6-c80cd69f1d15 · outbound

This paper cites Unsupervised cross-lingual representation learning for speech recognition,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Unsupervised cross-lingual representation learning for speech recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:31.170421Z

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Observation 6dbcbbbd-4370-4a97-9aba-c82c3a6a2db4 · outbound

This paper cites Seamless: Multilingual Expressive and Streaming Speech Translation.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Seamless: Multilingual Expressive and Streaming Speech Translation

Reference 39

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Observation b289d64b-ca04-497b-936c-3f7973f29acd · outbound

This paper cites Small Data? No Problem! Ex- ploring the viability of pretrained multilingual language mod- els for low-resourced languages,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Small Data? No Problem! Ex- ploring the viability of pretrained multilingual language mod- els for low-resourced languages,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:31.052468Z

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Observation afc908dd-cfef-403e-8a61-5063e67c5c35 · outbound

This paper cites Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective

Reference 41

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Observation 1adb9986-0c8f-4d73-b305-abffaafe2324 · outbound

This paper cites What makes a high-quality training dataset for large language mod- els: A practitioners’ perspective,.

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages What makes a high-quality training dataset for large language mod- els: A practitioners’ perspective,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:56:30.929427Z

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Observation 88dd9e44-4744-41c2-b976-6488a62e9e9c · outbound

This paper cites A Proposal to Study "Is High Quality Data All We Need?".

The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages A Proposal to Study "Is High Quality Data All We Need?"

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T13:56:30.468477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 3d6feb57-e0c6-4767-b7e1-11026b590d00 · inbound