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pith:2026:AWMSQSXDDX6SNWCV64B6F4QOQS
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A Calculus-Based Framework for Determining Vocabulary Size in End-to-End ASR

Sunil Kumar Kopparapu

Calculus locates the optimal vocabulary size for end-to-end ASR by fitting a cost curve and applying derivative tests.

arxiv:2605.14427 v1 · 2026-05-14 · cs.CL · cs.SD

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Claims

C1strongest claim

We demonstrate the utility and usefulness of our approach by applying it on a standard Librispeech corpus and show that the optimal choice of vocabulary size hyper-parameter improves the performance of the ASR.

C2weakest assumption

That a curve fitted to the cost function data will have a differentiable minimum identifiable by first and second derivative tests, and that this mathematical optimum will produce measurably better ASR performance on held-out data.

C3one line summary

Curve fitting and calculus derivative tests on a tokenization cost function identify an optimal vocabulary size that improves end-to-end ASR performance on Librispeech.

References

13 extracted · 13 resolved · 0 Pith anchors

[1] A cost minimization approach to fix the vocabulary size in a tokenizer for an end-to-end ASR system, 2024
[2] Librispeech ASR corpus: train-clean-100, 2015
[3] D. C. Montgomery, E. A. Peck, and G. G. Vining,Introduction to Linear Regression Analysis, 5th ed. Hoboken, NJ: John Wiley & Sons,
[4] [Online]. Available: https://www.wiley.com/en-us/Introduction+ to+Linear+Regression+Analysis,+5th+Edition-p-9781119578727
[5] ESPnet: End-to-End Speech Processing Toolkit, 2018

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First computed 2026-05-17T23:39:07.178032Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0599284ae31dfd26d855f703e2f20e8483234d8af7c4c39ed2544458fe2615f5

Aliases

arxiv: 2605.14427 · arxiv_version: 2605.14427v1 · doi: 10.48550/arxiv.2605.14427 · pith_short_12: AWMSQSXDDX6S · pith_short_16: AWMSQSXDDX6SNWCV · pith_short_8: AWMSQSXD
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWMSQSXDDX6SNWCV64B6F4QOQS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0599284ae31dfd26d855f703e2f20e8483234d8af7c4c39ed2544458fe2615f5
Canonical record JSON
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