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Paper Citation Record · LEDGER

Leveraging Beam Search Information for Confidence Estimation in E2E ASR

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.29299.

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

pith.paper-citation-record.v1
2607.29299 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:46:29.293160Z

measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 46986664-8145-4c69-a9e0-f01ab21cf33d · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 1

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Observation 1f2a5ddc-cceb-4a20-ae8a-529bb76653fd · outbound

This paper cites Conformer: Convolution-augmented Transformer for Speech Recognition.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Conformer: Convolution-augmented Transformer for Speech Recognition

Reference 2

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Observation 13fd0f33-bd13-4482-8cdf-b2b3d092c450 · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR A baseline for detecting misclassified and out-of-distribution examples in neural networks,

Reference 3

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Observation bc53103d-4946-493a-a3b9-24f290e3bde5 · outbound

This paper cites On calibration of modern neural networks,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR On calibration of modern neural networks,

Reference 4

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Observation a4c5d357-5bb6-4a92-b657-cf795231cc37 · outbound

This paper cites Confidence estimation for attention-based sequence-to- sequence models for speech recognition,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Confidence estimation for attention-based sequence-to- sequence models for speech recognition,

Reference 5

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Observation 6aff2c0e-619b-4c2c-9fe0-2731af58c155 · outbound

This paper cites Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models

Reference 6

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Observation 1a94b32b-dabc-4d2c-905b-53673e2aee09 · outbound

This paper cites Active and semi-supervised learning for speech recogni- tion,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Active and semi-supervised learning for speech recogni- tion,

Reference 7

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Observation 17378431-2c69-4868-b988-c589354a86c1 · outbound

This paper cites Posterior probability decoding, confidence estimation and system combination,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Posterior probability decoding, confidence estimation and system combination,

Reference 8

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Observation 17acaddc-38aa-4b7d-9321-f5adaad8ab4e · outbound

This paper cites Towards interfacing large language models with ASR systems using confidence measures and prompting,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Towards interfacing large language models with ASR systems using confidence measures and prompting,

Reference 9

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Observation be382396-ed62-4250-9504-0e86883c061c · outbound

This paper cites Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration,

Reference 10

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Observation 5a5701ce-218f-4584-832f-ddf2ed00a656 · outbound

This paper cites Learning word-level confidence for subword end-to-end asr,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Learning word-level confidence for subword end-to-end asr,

Reference 11

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Observation f5d1d557-27c8-47f7-8970-fd0c1f2dd827 · outbound

This paper cites Word-level confidence estimation for rnn transducers,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Word-level confidence estimation for rnn transducers,

Reference 12

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Observation 4dca6aa2-c251-4def-a7c9-da8417330f8c · outbound

This paper cites Word-level confidence estimation for ctc models,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Word-level confidence estimation for ctc models,

Reference 13

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Observation c2df5b20-f7f8-455f-a9c5-4551202f0b8d · outbound

This paper cites Adopting whisper for confidence estimation,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Adopting whisper for confidence estimation,

Reference 14

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Observation a0bf972e-487f-48ea-aae2-9c2cb7c687ff · outbound

This paper cites Teles: Temporal lexeme similarity score to estimate confidence in end-to-end asr,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Teles: Temporal lexeme similarity score to estimate confidence in end-to-end asr,

Reference 15

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Observation b2ad23e8-77c7-40f7-91a5-34d30414f246 · outbound

This paper cites End-to-end speech recognition: A survey,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR End-to-end speech recognition: A survey,

Reference 16

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Observation baaeee28-257d-4c2a-b396-9aacdd6fda2e · outbound

This paper cites Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Revisiting the evaluation of uncertainty estimation and its application to explore model complexity- uncertainty trade-off,

Reference 17

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Observation 4792840c-aef8-41d5-b7d4-aaaee3d8180f · outbound

This paper cites Librispeech: an asr corpus based on public domain audio books,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Librispeech: an asr corpus based on public domain audio books,

Reference 18

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Observation 10d60f95-406b-460c-8645-8914e825f3f8 · outbound

This paper cites Hybrid ctc/attention architecture for end-to-end speech recognition,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Hybrid ctc/attention architecture for end-to-end speech recognition,

Reference 19

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Observation f86ce115-9c88-4878-9a88-263542ffadac · outbound

This paper cites ESPnet: End-to-end speech processing toolkit,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR ESPnet: End-to-end speech processing toolkit,

Reference 20

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Observation be9afb41-6275-4a2a-8ed2-e225a1c2492c · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 21

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Observation 3476e971-3e6f-40ba-8731-b3c333b0d9d3 · outbound

This paper cites Common Voice: A Massively-Multilingual Speech Corpus.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Common Voice: A Massively-Multilingual Speech Corpus

Reference 22

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Observation 416e6d2b-42b9-43f4-a6ab-a74ad0983bc2 · outbound

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

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Robust speech recognition via large-scale weak super- vision,

Reference 23

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Observation a146c2d8-b847-4b75-83b6-7ce804a37782 · outbound

This paper cites Reproducing whisper-style training using an open-source toolkit and publicly available data,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Reproducing whisper-style training using an open-source toolkit and publicly available data,

Reference 24

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Observation 6de2e973-9425-4d7f-8113-22da3ab7d442 · outbound

This paper cites Libri-adapt: a new speech dataset for unsupervised domain adaptation,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Libri-adapt: a new speech dataset for unsupervised domain adaptation,

Reference 25

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Observation 0a98dc92-1739-48f8-ac01-e725861ccbd4 · outbound

This paper cites The spoken dutch corpus. overview and first evaluation.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR The spoken dutch corpus. overview and first evaluation

Reference 26

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Observation ef4dfce7-71a1-4c08-ab3f-182a7e0eea20 · outbound

This paper cites Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and Subtitling.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Leveraging Broadcast Media Subtitle Transcripts for Automatic Speech Recognition and Subtitling

Reference 27

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Observation 7a970b6c-97e1-4ac3-a28e-0ab132d900a5 · outbound

This paper cites Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Chime-6 challenge: Tackling multispeaker speech recognition for unsegmented recordings,

Reference 28

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Observation 2d96a7ce-1bb2-47a2-9e0e-202d4f66895c · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Adam: A method for stochastic optimiza- tion,

Reference 29

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Observation b3c8d071-488a-4877-8523-96a1a0638ea6 · outbound

This paper cites Sequence transduction with recurrent neural networks,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Sequence transduction with recurrent neural networks,

Reference 30

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Observation 21b7b645-460b-4af0-bb54-72671c7b5029 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR SpeechBrain: A General-Purpose Speech Toolkit

Reference 31

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Observation 85c60577-ce52-4286-a8e3-93d0cb641682 · outbound

This paper cites NeMo: a toolkit for building AI applications using Neural Modules.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR NeMo: a toolkit for building AI applications using Neural Modules

Reference 32

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Observation 9c3145a2-a53b-4da2-abeb-a7617252eaef · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 33

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Observation b3251d52-ebd4-4e13-933f-1004d0de74a0 · outbound

This paper cites Exploring architectures, data and units for streaming end-to-end speech recognition with rnn- transducer,.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Exploring architectures, data and units for streaming end-to-end speech recognition with rnn- transducer,

Reference 34

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Observation cc7dcc56-26c4-4958-b010-c918912b05a6 · outbound

This paper cites Improved estimation, evalua- tion and applications of confidence measures for speech recognition.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR Improved estimation, evalua- tion and applications of confidence measures for speech recognition

Reference 35

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Pith citing papers

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