Paper Citation Record · LEDGER

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.02407.

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

pith.paper-citation-record.v1
2507.02407 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:34:32.598099Z

measured 32 of 32 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 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

32 of 32 outbound references displayed

verified exact3
verified fuzzy25
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44c1235d-ae50-4173-80fb-528e5346bbe5 · outbound

This paper cites Automatic speech recognition for under-resourced languages: A survey.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Automatic speech recognition for under-resourced languages: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:33.037457Z

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 f8db6026-8591-424b-a43f-9312c9a6b05a · outbound

This paper cites Automatic Speech Recognition: A Comprehensive Survey.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Automatic Speech Recognition: A Comprehensive Survey

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T20:34:32.647544Z

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 39679514-c7d8-4696-a4a1-e27f13cbe708 · outbound

This paper cites CUTE: A Multilingual Dataset for Enhancing Cross - Lingual Knowledge Transfer in Low -Resource Languages [Internet].

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability CUTE: A Multilingual Dataset for Enhancing Cross - Lingual Knowledge Transfer in Low -Resource Languages [Internet]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:33.026830Z

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 868dc0dd-986b-4ca3-b8c3-86b456905a06 · outbound

This paper cites Development of Hausa dataset a baseline for speech recognition.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Development of Hausa dataset a baseline for speech recognition

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T20:34:32.779548Z

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 9f2b90f9-24bc-4829-ba1b-9c85b7459e57 · outbound

This paper cites Developing an open-source corpus of yoruba speech.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Developing an open-source corpus of yoruba speech

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:33.017762Z

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 27043979-64f9-4f3a-ba52-2a9574eb378f · outbound

This paper cites UGSpeechData.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability UGSpeechData

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:33.008909Z

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 d3b685eb-6305-4ea5-998a-0e25d72b50e5 · outbound

This paper cites RSC: A romanian read speech corpus for automatic speech recognition.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability RSC: A romanian read speech corpus for automatic speech recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.999179Z

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 47c4181f-6e3e-424d-96db-b5db9e1320c2 · outbound

This paper cites A Cookbook for Community-driven Data Collection of Impaired Speech in Low- Resource Languages.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability A Cookbook for Community-driven Data Collection of Impaired Speech in Low- Resource Languages

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.989813Z

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 f7583693-175f-43be-a7df-c16658bff6f7 · outbound

This paper cites wav2vec 2.0: A Framework for Self- Supervised Learning of Speech Representations [Internet].

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability wav2vec 2.0: A Framework for Self- Supervised Learning of Speech Representations [Internet]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.980343Z

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 2aee999d-a124-4318-bc08-a445ef6fd980 · outbound

This paper cites Robust Speech Recognition via Large -Scale Weak Supervision [Internet].

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Robust Speech Recognition via Large -Scale Weak Supervision [Internet]

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.970864Z

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 dd3bd393-3bd7-4b32-83ff-e30afe4dbb28 · outbound

This paper cites Low resource Twi -English parallel corpus for machine translation in multiple domains (Twi-2-ENG).

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Low resource Twi -English parallel corpus for machine translation in multiple domains (Twi-2-ENG)

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bc0380-9af3-43a4-ad60-22cc87902dd2 · outbound

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

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability XLS -R: Self- supervised Cross -lingual Speech Representation Learning at Scale

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.951669Z

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 8976a374-933e-4b79-9768-de9a9852eecb · outbound

This paper cites Developing an open-source corpus of yoruba speech.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Developing an open-source corpus of yoruba speech

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.942313Z

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 7cbce393-e472-4103-b3be-d708d7e49007 · outbound

This paper cites S, Sampah D, Adjepon-Yamoah D, et al.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability S, Sampah D, Adjepon-Yamoah D, et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.932812Z

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 248bc20e-9f9c-4c5d-a8d6-2763c6cf6932 · outbound

This paper cites The Bible as a Parallel Corpus: Annotating the ‘Book of 2000 Tongues.’ Comput Hum [Internet] 1999;33:129 –53.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability The Bible as a Parallel Corpus: Annotating the ‘Book of 2000 Tongues.’ Comput Hum [Internet] 1999;33:129 –53

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T20:34:32.629397Z

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 74516534-9b85-4427-8f6c-2d99762031f6 · outbound

This paper cites Common Voice 17.0: Twi [Internet].

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Common Voice 17.0: Twi [Internet]

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.923184Z

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 9c3326d8-3a2c-4562-906a-78548483eac5 · outbound

This paper cites Language of Instruction Country Profile: Ghana.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Language of Instruction Country Profile: Ghana

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.913807Z

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 bf18d652-7b90-4d48-89a3-a2662d6cad37 · outbound

This paper cites Globalization , Colonization , and Linguicide : How Ghana is Losing its Local Languages through Radio and Television Broadcast.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Globalization , Colonization , and Linguicide : How Ghana is Losing its Local Languages through Radio and Television Broadcast

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.904697Z

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 e57fdbd3-75a6-4cb6-bb13-35b419403e51 · outbound

This paper cites Language shift: A case study of Ghana.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Language shift: A case study of Ghana

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.895450Z

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 45c4e517-de55-40bc-98b1-e602f5fab9ff · outbound

This paper cites Research of Automatic Speech Recognition of Asante -Twi Dialect for Translation.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Research of Automatic Speech Recognition of Asante -Twi Dialect for Translation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.885839Z

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 d63d4f11-c0d8-407d-abf8-e6fc7f6651c8 · outbound

This paper cites The Applicability of Wav2Vec2 and Whisper for Low -Resource Maltese ASR [Internet].

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability The Applicability of Wav2Vec2 and Whisper for Low -Resource Maltese ASR [Internet]

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.876498Z

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 0134d893-b696-4e8e-b09f-66cb35aa20dc · outbound

This paper cites AraConv: Developing an Arabic Task -Oriented Dialogue System Using Multi -Lingual Transformer Model mT5.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability AraConv: Developing an Arabic Task -Oriented Dialogue System Using Multi -Lingual Transformer Model mT5

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.857239Z

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 bd805962-a6ff-4d0a-9bb1-e6b7dde43646 · outbound

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Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:34:32.866896Z

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 3add9c1a-f53f-49ec-8b8f-492a28b53f13 · outbound

This paper cites CDEvalSumm: An Empirical Study of Cross -Dataset Evaluation for Neural Summarization Systems.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability CDEvalSumm: An Empirical Study of Cross -Dataset Evaluation for Neural Summarization Systems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.839082Z

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 0a4420a0-7068-4f74-8dae-18e845a7ac57 · outbound

This paper cites End -To-End Multilingual Automatic Speech Recognition for Less -Resourced Languages: The Case of Four Ethiopian Languages.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability End -To-End Multilingual Automatic Speech Recognition for Less -Resourced Languages: The Case of Four Ethiopian Languages

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.848149Z

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 e5732563-16b0-43f2-8c1e-82d71c560864 · outbound

This paper cites Cross -Domain Generalization of Neural Constituency Parsers.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Cross -Domain Generalization of Neural Constituency Parsers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.819938Z

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 0ce68932-c9b5-4898-b03f-cc08be4e5073 · outbound

This paper cites Cross -Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Cross -Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.829553Z

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 018e7d24-e404-4dbe-ab70-5d46b7080a59 · outbound

This paper cites Recent advancements in automatic disordered speech recognition: A survey paper.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Recent advancements in automatic disordered speech recognition: A survey paper

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.800204Z

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 ee13bee3-d975-4b53-a256-46f609846eef · outbound

This paper cites An overview of high -resource automatic speech recognition methods and their empirical evaluation in low - resource environments.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability An overview of high -resource automatic speech recognition methods and their empirical evaluation in low - resource environments

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.809992Z

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 a3bfa6f3-917d-4e53-bb66-cda1edd48559 · outbound

This paper cites Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:34:32.790743Z

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 955ca85b-e248-4fca-b062-5865616891a2 · outbound

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

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:34:32.663268Z

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 b043ce0f-277e-4fb8-94ef-f8eaaeae5321 · outbound

This paper cites an unresolved cited work.

Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:34:32.960978Z

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

No inbound Pith citation observations are available.