Paper Citation Record · LEDGER

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2602.20967.

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

pith.paper-citation-record.v1
2602.20967 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:15:35.578637Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:15:32.519719Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy0
unresolved37
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23a4347d-4a0c-4aba-bdc3-d2594b15bd8a · outbound

This paper cites The performance of ASR degrades significantly in the presence of background noise [1–3].

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR The performance of ASR degrades significantly in the presence of background noise [1–3]

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.508719Z

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Unavailable: canonical work link unavailable.

Observation 301b2864-3cdf-463a-8d05-621c01afe58a · outbound

This paper cites Training-Free Intelligibility-Guided Observation Addition for Noisy ASR.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Training-Free Intelligibility-Guided Observation Addition for Noisy ASR

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.519719Z

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Observation 62905022-82af-4367-938b-07c5af26d2cb · outbound

This paper cites Datasets We evaluate the proposed OA method under both in-domain and out-of-domain conditions using two datasets, with all au- dio sampled at 16 kHz.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Datasets We evaluate the proposed OA method under both in-domain and out-of-domain conditions using two datasets, with all au- dio sampled at 16 kHz

Reference 3

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Observation 762bb55d-a3d0-4276-91f2-17010fb87b9e · outbound

This paper cites Comparison with previous OA methods Tables 1 and 2 compare various OA methods.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Comparison with previous OA methods Tables 1 and 2 compare various OA methods

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.697785Z

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Observation 081dfff3-2b3d-489a-af77-3b6af94878ee · outbound

This paper cites an unresolved cited work.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.772409Z

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Observation dac4f62d-c26d-4586-94a7-2b4d2bb9d7c1 · outbound

This paper cites Speech enhancement using continuous embeddings of neural audio codec,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Speech enhancement using continuous embeddings of neural audio codec,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.296393Z

Source-reported events for the cited work

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Observation c3f6385e-4ea9-424e-a995-1e5fa0f9e942 · outbound

This paper cites Virtanen, R.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Virtanen, R

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.884790Z

Source-reported events for the cited work

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Observation ec1c88d7-0035-4c75-951d-53f9c4d781f5 · outbound

This paper cites An overview of noise-robust automatic speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR An overview of noise-robust automatic speech recognition,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.965112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0486d53-9dcf-47fb-a637-b812245be43a · outbound

This paper cites Analyzing the performance of asr systems: The effects of noise, distance to the device, age and gender,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Analyzing the performance of asr systems: The effects of noise, distance to the device, age and gender,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.044419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6748598e-2671-4d1b-976a-dca2e2abb13e · outbound

This paper cites Real Time Speech Enhancement in the Waveform Domain.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Real Time Speech Enhancement in the Waveform Domain

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.134338Z

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Observation 7c0e3a23-efb6-48bd-9068-c7f3dfa0df47 · outbound

This paper cites MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.213692Z

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Observation b61f2e3e-0d7b-4222-8629-aaa62465d905 · outbound

This paper cites Interactive feature fu- sion for end-to-end noise-robust speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Interactive feature fu- sion for end-to-end noise-robust speech recognition,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.905255Z

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Observation 4d6fe284-e262-4221-9667-97de52dd9156 · outbound

This paper cites Aligning generative speech enhancement with human preferences via direct preference optimization,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Aligning generative speech enhancement with human preferences via direct preference optimization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.368600Z

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Observation 62af936e-ea0a-47bd-a544-bc5c19c4e13d · outbound

This paper cites Strate- gies for distant speech recognitionin reverberant environments,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Strate- gies for distant speech recognitionin reverberant environments,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.476463Z

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Unavailable: canonical work link unavailable.

Observation 1fe221aa-0884-4fd3-bbce-81d109e0a80e · outbound

This paper cites Deep xi as a front-end for robust automatic speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Deep xi as a front-end for robust automatic speech recognition,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.550701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed7e5b88-3d25-47fc-b62c-2a5375537353 · outbound

This paper cites Towards decoupling frontend enhancement and backend recognition in monaural robust asr,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Towards decoupling frontend enhancement and backend recognition in monaural robust asr,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.696350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f55fef7-dc66-4b65-bc27-a3973736e666 · outbound

This paper cites How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:33.805490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12edf34c-c648-49f5-a0b2-178abb9aa5f3 · outbound

This paper cites How does end-to-end speech recog- nition training impact speech enhancement artifacts?.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR How does end-to-end speech recog- nition training impact speech enhancement artifacts?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.375295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5126a3-75a5-4d5b-aa95-3e237928ffd1 · outbound

This paper cites A joint training framework for ro- bust automatic speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR A joint training framework for ro- bust automatic speech recognition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.001228Z

Source-reported events for the cited work

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Observation 4a32f35b-756f-40e9-841c-1ce5729bbbaf · outbound

This paper cites Investigation into joint op- timization of single channel speech enhancement and acoustic modeling for robust asr,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Investigation into joint op- timization of single channel speech enhancement and acoustic modeling for robust asr,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.078562Z

Source-reported events for the cited work

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Observation 740afe60-60d5-475c-8039-770b66b858db · outbound

This paper cites SNRi Target Training for Joint Speech Enhancement and Recognition.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR SNRi Target Training for Joint Speech Enhancement and Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.147936Z

Source-reported events for the cited work

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Observation bddfc917-7454-4d3a-ab22-2e0bc46bdaa4 · outbound

This paper cites Multitask-based joint learning approach to robust asr for radio communication speech,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Multitask-based joint learning approach to robust asr for radio communication speech,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.224319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36fdbd4d-d838-439d-a3fb-a5ecd9bffb5a · outbound

This paper cites Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.306836Z

Source-reported events for the cited work

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Observation 5db52e1a-d2cb-44db-9de1-d2340b356d52 · outbound

This paper cites Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.842895Z

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Unavailable: canonical work link unavailable.

Observation 0b91969e-aa60-44ce-a88e-977c9ab68e9a · outbound

This paper cites For Whis- per, we use the Whisper-large model, while for Parakeet we adopt the parakeet-tdt-0.6b-v2 model1.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR For Whis- per, we use the Whisper-large model, while for Parakeet we adopt the parakeet-tdt-0.6b-v2 model1

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:32.604451Z

Source-reported events for the cited work

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Observation 97d5e62f-83d0-439d-bf3b-aee14799e9b4 · outbound

This paper cites Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.462395Z

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Observation c2c1e1e6-1115-4cc6-966c-72096ade4ec3 · outbound

This paper cites Bridging the gap: Integrating pre-trained speech enhancement and recognition models for ro- bust speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Bridging the gap: Integrating pre-trained speech enhancement and recognition models for ro- bust speech recognition,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.538272Z

Source-reported events for the cited work

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Observation d375ecbe-5f59-42a2-b0fc-b7ccee91cd52 · outbound

This paper cites Reducing the gap between pretrained speech en- hancement and recognition models using a real speech-trained bridging module,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Reducing the gap between pretrained speech en- hancement and recognition models using a real speech-trained bridging module,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.591956Z

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Observation ca081406-d6b0-4bb4-9b8b-a52ba7bfe456 · outbound

This paper cites Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise sup- pressors,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.688304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a680eb1a-20ef-4b3e-b99f-c493b7f845b9 · outbound

This paper cites Learning to enhance or not: Neural network- based switching of enhanced and observed signals for overlap- ping speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Learning to enhance or not: Neural network- based switching of enhanced and observed signals for overlap- ping speech recognition,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.760199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f0a95e-b721-4b7b-ad4b-bc13945cc64b · outbound

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

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Robust speech recognition via large-scale weak supervision,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:34.924433Z

Source-reported events for the cited work

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Observation 46d613cf-5b67-4a59-8aac-fd850fbe4841 · outbound

This paper cites Fast conformer with linearly scalable attention for efficient speech recognition,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Fast conformer with linearly scalable attention for efficient speech recognition,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.010460Z

Source-reported events for the cited work

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Observation 78405f0c-610d-4e4f-9742-8a95aa2a8bff · outbound

This paper cites Efficient sequence transduction by jointly predicting tokens and durations,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Efficient sequence transduction by jointly predicting tokens and durations,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.091685Z

Source-reported events for the cited work

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Observation c73761ce-ffb2-4bc8-9193-038b091f7ebd · outbound

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

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.179472Z

Source-reported events for the cited work

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Observation acf4d5dd-1a7e-4d74-a155-93777a5fe213 · outbound

This paper cites Investigating rnn-based speech enhancement methods for noise- robust text-to-speech.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Investigating rnn-based speech enhancement methods for noise- robust text-to-speech

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.280414Z

Source-reported events for the cited work

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Observation a2b717e8-50ef-4259-9dd7-ef5ebb2b1c6d · outbound

This paper cites The 4th chime speech separation and recognition challenge,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR The 4th chime speech separation and recognition challenge,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.413656Z

Source-reported events for the cited work

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Observation 86c209fc-de25-41e4-9ac3-186468ba5070 · outbound

This paper cites From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR From KAN to GR-KAN: Advancing Speech Enhancement with KAN-Based Methodology

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.490169Z

Source-reported events for the cited work

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Observation e2b163f9-881b-4b05-8db0-cb0961b369bf · outbound

This paper cites Lib- rispeech: an asr corpus based on public domain audio books,.

Training-Free Intelligibility-Guided Observation Addition for Noisy ASR Lib- rispeech: an asr corpus based on public domain audio books,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T21:15:35.578637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 301b2864-3cdf-463a-8d05-621c01afe58a · inbound