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Paper Citation Record · LEDGER

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla

As of 7 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 2 inbound Pith citation observations for arXiv:2507.01931.

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

pith.paper-citation-record.v1
2507.01931 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:39.749843Z

measured 23 of 23 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:03:12.107390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:01.425102Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c83ea2da-cdd2-4e10-b365-daa65cd75f37 · outbound

This paper cites A comparison of sequence-to-sequence models for speech recognition.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla A comparison of sequence-to-sequence models for speech recognition

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.908761Z

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.

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Observation 6a2d5dce-026e-4b13-bc87-171011154d15 · outbound

This paper cites Transformers: State- of-the-art natural language processing,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Transformers: State- of-the-art natural language processing,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.901347Z

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.

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Observation 627bec8e-5485-4205-a636-386202464ab8 · outbound

This paper cites A survey on contrastive self-supervised learning,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla A survey on contrastive self-supervised learning,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.697945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2647bede-74af-4cda-a2d6-fe5da5ba037e · outbound

This paper cites Bangla speech recognition system using lpc and ann,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Bangla speech recognition system using lpc and ann,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.890606Z

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.

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Observation dca13932-4ce9-42a5-a7cd-bfe7d2d54a11 · outbound

This paper cites Bangladeshi bangla speech corpus for automatic speech recognition research,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Bangladeshi bangla speech corpus for automatic speech recognition research,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.883579Z

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.

source=pdf_text observed=2026-08-06T20:45:39.703372Z digest=sha256:8db0601398f8bf507f57d6633944883b0ffea878d16778c528cc7a7cb42ab813

Observation 3d08d9f5-6199-450d-aeb3-7302cf1c77e7 · outbound

This paper cites w2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla w2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.875728Z

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.

source=pdf_text observed=2026-08-06T20:45:39.705764Z digest=sha256:1c0d0eebf6dd543cd5bf9a1fb499f5c3281a5c0416415bbb1aee654dd6794e7e

Observation ab315b37-3c58-4c51-a833-c2430e3bb56d · outbound

This paper cites Evaluating openai’s whisper asr: Performance analysis across diverse accents and speaker traits,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Evaluating openai’s whisper asr: Performance analysis across diverse accents and speaker traits,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.866775Z

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.

source=pdf_text observed=2026-08-06T20:45:39.708848Z digest=sha256:0c8fc721a9542dcc20cdaae103fe6b7f3a8a0e3c5b10280e6baa0cdc126e8269

Observation b03d16ef-870c-4898-b9f7-2c63df82ecbf · outbound

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

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Common voice: A massively-multilingual speech corpus,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.710905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:39.710905Z digest=sha256:591ba445a5a0f4c90b81288e5332a5506f57504234712050e0f227ba18b0b197

Observation 2cadfbe4-f7f3-4e49-850b-0da3abeb0dc6 · outbound

This paper cites Crowd-Sourced Speech Corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Crowd-Sourced Speech Corpora for Javanese, Sundanese, Sinhala, Nepali, and Bangladeshi Bengali,

Reference 9

Resolution
verified exact
doi, observed 2026-08-06T20:45:39.783479Z

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.

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Observation f931c13f-663d-4954-9248-15197473207d · outbound

This paper cites A Step-by-Step Process for Building TTS V oices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla A Step-by-Step Process for Building TTS V oices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese,

Reference 10

Resolution
verified exact
doi, observed 2026-08-06T20:45:39.775592Z

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.

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Observation 096f34c1-bf5a-40e9-bb55-b3af93468ca2 · outbound

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

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.854162Z

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.

source=pdf_text observed=2026-08-06T20:45:39.719361Z digest=sha256:4d7c123160583bdd7b8ec569b8055fd1fa356effbce67f1378414eb802fc2c2f

Observation 9bfbe91c-05f6-4f08-a872-34bd9849179d · outbound

This paper cites The cnn: The architecture behind artificial intelligence develop- ment,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla The cnn: The architecture behind artificial intelligence develop- ment,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.846347Z

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.

source=pdf_text observed=2026-08-06T20:45:39.726811Z digest=sha256:18a660c50643487e3846cae7a5ba0b1808e82929497524a089292731b5e28ae9

Observation 0c6dd336-e347-440b-9c91-533b78d97e2b · outbound

This paper cites A wav2vec2-based experimental study on self-supervised learning methods to improve child speech recognition,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla A wav2vec2-based experimental study on self-supervised learning methods to improve child speech recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.838437Z

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.

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Observation 7ecede00-13b8-4324-8945-dce2a55e8b86 · outbound

This paper cites Modular domain adaptation for conformer-based streaming asr,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Modular domain adaptation for conformer-based streaming asr,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.830130Z

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.

source=pdf_text observed=2026-08-06T20:45:39.732110Z digest=sha256:f832a55dc944c0b050bebd25b0f6818c9bb42944606f1c0ed1d8d9903b24298e

Observation d9ed9fd2-2301-4e5a-b691-277ec47f3c9f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.735104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e45650e-c40c-4334-b89a-b23c26ee1814 · outbound

This paper cites Kazakh speech recognition: Wav2vec2. 0 vs. whisper,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Kazakh speech recognition: Wav2vec2. 0 vs. whisper,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.820782Z

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.

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Observation eb8410f3-ebf4-48a8-935b-b5172942e000 · outbound

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

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Robust Speech Recognition via Large-Scale Weak Supervision

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.740292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 166244c0-4e49-4de9-97f0-df765f7251eb · outbound

This paper cites Model Adaptation for ASR in low-resource Indian Languages.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Model Adaptation for ASR in low-resource Indian Languages

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.742858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7a12a61-1103-4155-899a-67f0f78dab1c · outbound

This paper cites Whisper-at: Noise- robust automatic speech recognizers are also strong general audio event taggers,.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Whisper-at: Noise- robust automatic speech recognizers are also strong general audio event taggers,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:45:39.812646Z

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.

source=pdf_text observed=2026-08-06T20:45:39.746013Z digest=sha256:2f1ea539c4e3a1e15b281abc18ec2e5a5ade28bca40d2714f5a5c4c2ad04d3e6

Observation 7089244b-1730-41e4-8e23-a377841663df · outbound

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

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:39.723023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:39.723023Z digest=sha256:a025b14626db4825e4a260ff8319e97d9641632fb0e7b5a1784ce7a268f5c9ce

Observation 4b1fbccc-a9bd-430c-b827-083ededcec63 · outbound

This paper cites Available: http://dx.doi.org/10.21437/Interspeech.2023- 2193.

Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla Available: http://dx.doi.org/10.21437/Interspeech.2023- 2193

Reference 2023

Resolution
malformed identifier
no resolver link, observed 2026-08-06T20:45:39.749843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:39.749843Z digest=sha256:d0d8635d481efc1fa208627c9aa38f57240e0eb8fbcafa53ec52e6718ecf7abd

Pith citing papers

Observation 1b0de384-eff4-49e2-82ad-5cbf193e9c2f · inbound

A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR cites this paper.

A Unified Denoising and Adaptation Framework for Self-Supervised Bengali Dialectal ASR Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T13:03:12.107390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:12.107390Z digest=sha256:21ff510d458767f461db41e0590ee8d9938bd9fa725fcc7426844acf6c74c864

Observation 32c240d1-d391-43b6-9c51-5995af0aa456 · inbound

When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews cites this paper.

When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews Adaptability of ASR Models on Low-Resource Language: A Comparative Study of Whisper and Wav2Vec-BERT on Bangla

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:30:01.426736Z

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.

source=arxiv_source observed=2026-06-25T22:50:09.596640Z digest=sha256:f7d0f207a0371dc0574ac037ccafa204bd4a3bc8ecf071169cb30ef19681231b