Paper Citation Record · LEDGER

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2607.04515.

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

pith.paper-citation-record.v1
2607.04515 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T18:11:36.626189Z

measured 42 of 42 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T18:11:36.626189Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact1
verified fuzzy0
unresolved39
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External citation measurements

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Outbound references

Observation ab8185b9-6406-4db9-8365-792a0b75b8d7 · outbound

This paper cites Modern end-to-end ar- chitectures, often combining attention mechanisms with neural vocoders, achieve high-quality synthesis when trained on large- scale paired text–audio corpora.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Modern end-to-end ar- chitectures, often combining attention mechanisms with neural vocoders, achieve high-quality synthesis when trained on large- scale paired text–audio corpora

Reference 1

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Observation fb408072-a46d-4663-8276-fe0f98f5e63f · outbound

This paper cites analogue,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language analogue,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 0f2d32c2-8395-4da6-8781-ff14d5605e19 · outbound

This paper cites Towards Digital Preservation of Efik: TTS for a Low-Resource African Language.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Towards Digital Preservation of Efik: TTS for a Low-Resource African Language

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation f8d8561a-3465-4529-aa8e-a85c6328c1d2 · outbound

This paper cites Several studies have explored TTS for relatively higher- resource African languages, including Yoruba, Igbo, Hausa, Swahili, Akan, Lagunda, Lingala, and Ewe [15, 1, 16, 17, 18, 19].

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Several studies have explored TTS for relatively higher- resource African languages, including Yoruba, Igbo, Hausa, Swahili, Akan, Lagunda, Lingala, and Ewe [15, 1, 16, 17, 18, 19]

Reference 4

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Observation 43d822be-4cb0-4280-b8f5-7515813d5887 · outbound

This paper cites Recordings were cap- tured using a wireless microphone in a quiet indoor environment to minimize background noise and ensure acoustic consistency.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Recordings were cap- tured using a wireless microphone in a quiet indoor environment to minimize background noise and ensure acoustic consistency

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 3d9ebe00-998e-454b-8c75-eff1193fbeda · outbound

This paper cites an unresolved cited work.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Unresolved cited work

Reference 6

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Observation cafcdb69-fbb6-420b-92ce-1ea329ba8bc0 · outbound

This paper cites VITS was trained for 50 epochs with a learning rate of 2e-4, a batch size of 4, and the Adam optimizer.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language VITS was trained for 50 epochs with a learning rate of 2e-4, a batch size of 4, and the Adam optimizer

Reference 7

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Observation cf6dfb17-bc0a-4199-8cd5-78dc4a92aa6b · outbound

This paper cites MMS-TTS achieved the highest MOS (3.80 ± 0.63), producing the most natural and intelligible speech.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language MMS-TTS achieved the highest MOS (3.80 ± 0.63), producing the most natural and intelligible speech

Reference 8

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Observation 950ef1b4-39b6-4135-bcf5-515569cd9c9b · outbound

This paper cites We fine-tuned four state-of-the-art end-to-end TTS models, VITS, MMS-TTS, SpeechT5, and Orpheus-TTS, us- ing a single-speaker, three-hour dataset.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language We fine-tuned four state-of-the-art end-to-end TTS models, VITS, MMS-TTS, SpeechT5, and Orpheus-TTS, us- ing a single-speaker, three-hour dataset

Reference 9

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Observation c4ec071d-bf1c-4bda-8f84-fc440f3aef49 · outbound

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Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Unresolved cited work

Reference 10

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Observation 22ee2e53-faf8-4a86-96f8-af7a3d70247f · outbound

This paper cites All collected materials, including narrative and educational texts, were used in accordance with copyright and cultural guidelines.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language All collected materials, including narrative and educational texts, were used in accordance with copyright and cultural guidelines

Reference 11

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Observation 8d32c69d-45e0-4456-a269-d209860400af · outbound

This paper cites We also extend our appreciation to Dr.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language We also extend our appreciation to Dr

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation c3d81059-506d-4b64-bbe5-84a93c44ee54 · outbound

This paper cites Any use of generative AI was limited to grammar correction and language editing.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Any use of generative AI was limited to grammar correction and language editing

Reference 13

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Observation 5b02418a-74e2-4c51-a343-0a9d63ca4340 · outbound

This paper cites Building African Voices.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Building African Voices

Reference 14

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Observation 411483ad-72fb-46ea-a4b8-5bb0157eaa28 · outbound

This paper cites Speech generation for indigenous language education,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Speech generation for indigenous language education,

Reference 15

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Observation afa4343d-6017-44b5-8af8-b176ba2841c4 · outbound

This paper cites Low-resource Languages: A Review of Past Work and Future Challenges.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Low-resource Languages: A Review of Past Work and Future Challenges

Reference 16

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Observation 8284e477-5e22-4508-afc9-58008a606630 · outbound

This paper cites Waxal: A large-scale multilingual african language speech corpus,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Waxal: A large-scale multilingual african language speech corpus,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation f43995cd-64a9-4be9-ae05-be38db647e92 · outbound

This paper cites Speak, read and prompt: High-fidelity text-to-speech with mini- mal supervision,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Speak, read and prompt: High-fidelity text-to-speech with mini- mal supervision,

Reference 18

Resolution: malformed identifier; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 4ebdf29f-74e0-40a8-b67e-032b674945e8 · outbound

This paper cites The adaptation of english consonants by efik learners of english,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language The adaptation of english consonants by efik learners of english,

Reference 19

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Source-reported events for the cited work

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Observation 8fda1339-b154-4bf9-99cf-efb294748376 · outbound

This paper cites Digital language death,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Digital language death,

Reference 20

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Observation 3c6e3b36-ed96-4c3f-b2bb-938b73f667fc · outbound

This paper cites Ibom nlp: A step toward inclusive natural language processing for nigeria’s minority languages,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Ibom nlp: A step toward inclusive natural language processing for nigeria’s minority languages,

Reference 21

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Observation c8a8cc11-7bf2-4b77-8c15-fdf2ea850a6d · outbound

This paper cites Developing an english–efik corpus and machine translation system for digitization inclusion,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Developing an english–efik corpus and machine translation system for digitization inclusion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 28bffb67-fe01-4a68-861a-38c3535beb91 · outbound

This paper cites Building text-to-speech models for low-resourced languages from crowdsourced data,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Building text-to-speech models for low-resourced languages from crowdsourced data,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation d20ab60b-1432-4ac3-8f80-581fdaf55c6d · outbound

This paper cites Available: https://www.researchgate.net/ publication/391230042 Building Text-to-Speech Models for Low-Resourced Languages From Crowdsourced Data.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Available: https://www.researchgate.net/ publication/391230042 Building Text-to-Speech Models for Low-Resourced Languages From Crowdsourced Data

Reference 24

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Observation 97d29e27-c860-4413-afc4-c56da2c628a7 · outbound

This paper cites Lexical tone as a distinctive cue in tonal languages,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Lexical tone as a distinctive cue in tonal languages,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 64486551-5ca8-48fb-b6fd-bcb21d5c57f7 · outbound

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Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Unresolved cited work

Reference 26

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Observation 421c37ab-2e19-4ec3-9cea-778fb548be91 · outbound

This paper cites From analogue to digital: Using digital technology to preserve and promote efik language, culture and history in the 21st century,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language From analogue to digital: Using digital technology to preserve and promote efik language, culture and history in the 21st century,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 9af778d7-b44b-4638-9bf0-d24124fbb950 · outbound

This paper cites A multimodal dataset for automating language vitality and endangerment assessment in south-south nigeria,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language A multimodal dataset for automating language vitality and endangerment assessment in south-south nigeria,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation bda08529-b019-4d45-a58e-b9bd524e0a42 · outbound

This paper cites Building a Luganda Text-to-Speech Model From Crowdsourced Data.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Building a Luganda Text-to-Speech Model From Crowdsourced Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 6b741a6e-6d23-4845-ab31-7a1901670035 · outbound

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

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation fdf3d1fb-eabc-4f54-989a-91da9ccec433 · outbound

This paper cites `Ir`oy`ınspeech: A multi-purpose yor `ub´a speech corpus,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language `Ir`oy`ınspeech: A multi-purpose yor `ub´a speech corpus,

Reference 31

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Observation 34b3aed1-69f7-468b-8f60-ab45b8c41af1 · outbound

This paper cites A cross-lingual text-to-speech system for hausa using dnn-based approach,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language A cross-lingual text-to-speech system for hausa using dnn-based approach,

Reference 32

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Observation 8a7db84a-9d27-4f3a-9423-f636907dd5af · outbound

This paper cites Edge-based speech transcription and synthesis for kinyarwanda and swahili languages,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Edge-based speech transcription and synthesis for kinyarwanda and swahili languages,

Reference 33

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Observation 8153e974-1933-4319-8478-d5d45e1b31bb · outbound

This paper cites Requirements and motivations of low-resource speech synthesis for language revitalization,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Requirements and motivations of low-resource speech synthesis for language revitalization,

Reference 34

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Observation 0c2d8e04-e60f-4aef-a5f9-7d1eaf57a09e · outbound

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

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Robust speech recognition via large-scale weak supervision,

Reference 35

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Observation 5265bd2a-3338-4e30-b7ee-b6840c656f53 · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 36

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Observation 0cb4d44e-5b4c-48c5-b840-62f658273daa · outbound

This paper cites Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Reference 37

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Observation ba5de31c-da83-4527-8f35-47a42e0f611b · outbound

This paper cites Scaling Speech Technology to 1,000+ Languages.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Scaling Speech Technology to 1,000+ Languages

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 7aee2374-8ba2-4bc8-ac74-acb27cc3d5c9 · outbound

This paper cites Speecht5: Unified-modal encoder-decoder pre- training for spoken language processing,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Speecht5: Unified-modal encoder-decoder pre- training for spoken language processing,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T18:11:36.626189Z

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Observation 4b40c748-9b1c-4dc0-aaba-25c73f4390f5 · outbound

This paper cites Orpheus-tts,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Orpheus-tts,

Reference 40

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Observation a1fb8848-98a5-4614-b37c-c57fb4bd3621 · outbound

This paper cites Measuring speech qual- ity for text-to-speech systems: development and assessment of a modified mean opinion score (mos) scale,.

Towards Digital Preservation of Efik: TTS for a Low-Resource African Language Measuring speech qual- ity for text-to-speech systems: development and assessment of a modified mean opinion score (mos) scale,

Reference 41

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Pith citing papers

Observation 0f2d32c2-8395-4da6-8781-ff14d5605e19 · inbound