Paper Citation Record · LEDGER

Learning to assess subjective impressions from speech

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.19335.

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

pith.paper-citation-record.v1
2506.19335 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:00.349207Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

24 of 24 outbound references displayed

verified exact4
verified fuzzy19
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d96e89fb-35c7-4d42-a8c8-b3b92d4a957d · outbound

This paper cites Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

Learning to assess subjective impressions from speech Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.311086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 262f80f0-d3e2-43f7-be0a-17c5b67f2e4d · outbound

This paper cites MOSNet: Deep learning based objective assessment for voice conversion,.

Learning to assess subjective impressions from speech MOSNet: Deep learning based objective assessment for voice conversion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:05.083770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9197a5b9-9b9b-4b0f-a38b-03d1f8d1b5be · outbound

This paper cites Speech quality assessment through MOS using non-matching references,.

Learning to assess subjective impressions from speech Speech quality assessment through MOS using non-matching references,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.937579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c71ca7bc-4267-44f2-96c7-18c5e3a5d0ac · outbound

This paper cites Personalized Audio Quality Preference Prediction.

Learning to assess subjective impressions from speech Personalized Audio Quality Preference Prediction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:01.234200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9dc12f4-5eaa-40d3-9fc9-b9c2258de40f · outbound

This paper cites Generalization ability of MOS prediction networks,.

Learning to assess subjective impressions from speech Generalization ability of MOS prediction networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.760945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a444f8f2-56f9-41b9-9de1-a780a0da43ce · outbound

This paper cites Methods for subjective determination of transmis- sion quality,.

Learning to assess subjective impressions from speech Methods for subjective determination of transmis- sion quality,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.607970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2fdcfd3d-ae4a-410a-a07b-185dccbf09a9 · outbound

This paper cites Here or There: Preference Judgments for Relevance,.

Learning to assess subjective impressions from speech Here or There: Preference Judgments for Relevance,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.409339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1429e2b7-19db-4dc4-b468-5c013be32caf · outbound

This paper cites Comparison of four subjective methods for image quality assessment,.

Learning to assess subjective impressions from speech Comparison of four subjective methods for image quality assessment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:04.190441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51f76f08-d07f-4565-8f2d-209e8ab3c64d · outbound

This paper cites AutoMOS: Learning a non-intrusive assessor of naturalness- of-speech,.

Learning to assess subjective impressions from speech AutoMOS: Learning a non-intrusive assessor of naturalness- of-speech,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:03.860825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba7e165e-7bdd-4f0f-a75e-f85a7a98d38e · outbound

This paper cites MBNet: MOS prediction for synthesized speech with mean-bias network,.

Learning to assess subjective impressions from speech MBNet: MOS prediction for synthesized speech with mean-bias network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:03.533531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2de4dc13-b3f0-4cf9-8a48-df0ab51f6b60 · outbound

This paper cites LDNet: Unified listener dependent modeling in MOS prediction for synthetic speech,.

Learning to assess subjective impressions from speech LDNet: Unified listener dependent modeling in MOS prediction for synthetic speech,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:03.158797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59604e28-9040-4c68-8248-2930bb71ed10 · outbound

This paper cites UTMOS: Utokyo-Sarulab System for V oiceMOS Challenge 2022,.

Learning to assess subjective impressions from speech UTMOS: Utokyo-Sarulab System for V oiceMOS Challenge 2022,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.936281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1eee25eb-1344-468e-a8cf-923af492cc87 · outbound

This paper cites MOSPC: MOS Prediction Based on Pairwise Comparison.

Learning to assess subjective impressions from speech MOSPC: MOS Prediction Based on Pairwise Comparison

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:00.978345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34ae232f-92cb-447d-804e-8a70f2590be9 · outbound

This paper cites Preference-based training framework for automatic speech quality assessment using deep neural network.

Learning to assess subjective impressions from speech Preference-based training framework for automatic speech quality assessment using deep neural network

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:00.733577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6e6c00c-2fd0-4445-952f-19e1d1445ba3 · outbound

This paper cites PromptTTS: Controllable text-to-speech with text descriptions,.

Learning to assess subjective impressions from speech PromptTTS: Controllable text-to-speech with text descriptions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.731247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89174a89-7a4d-48b7-b6cf-0bfd5d10d5d8 · outbound

This paper cites Coco-Nut: Corpus of Japanese Utterance and V oice Characteristics Description for Prompt-Based Control,.

Learning to assess subjective impressions from speech Coco-Nut: Corpus of Japanese Utterance and V oice Characteristics Description for Prompt-Based Control,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.481922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5b8105c-6099-402a-9b54-081f6bd5f2b6 · outbound

This paper cites StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models.

Learning to assess subjective impressions from speech StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:10:00.557403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d6d22b9-29ff-4752-8d14-4e86aded1b4f · outbound

This paper cites Extraction of everyday expression associated with voice quality of normal utterance,.

Learning to assess subjective impressions from speech Extraction of everyday expression associated with voice quality of normal utterance,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.309847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d89aa07-e4b8-4a9f-acd3-708bbe064cec · outbound

This paper cites A dendrite method for cluster analysis,.

Learning to assess subjective impressions from speech A dendrite method for cluster analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:02.088948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54f76ea7-9a2b-42e1-81b5-ed6fb5f4cde5 · outbound

This paper cites The proof and measurement of association between two things.,.

Learning to assess subjective impressions from speech The proof and measurement of association between two things.,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:09:59.945984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544b8d65-f418-40db-aeaa-8a74c35c7970 · outbound

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

Learning to assess subjective impressions from speech wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.967506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4684b367-d441-405f-b124-5ef639da91f3 · outbound

This paper cites Librispeech: An ASR corpus based on public domain audio books,.

Learning to assess subjective impressions from speech Librispeech: An ASR corpus based on public domain audio books,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.734546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7366710-805f-4dfc-a18a-9a09bff9b422 · outbound

This paper cites fairseq: A fast, extensible toolkit for sequence modeling,.

Learning to assess subjective impressions from speech fairseq: A fast, extensible toolkit for sequence modeling,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.587812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5d662b7-3175-4958-95e7-8bf15dad5fee · outbound

This paper cites Learning to Rank Using Gradient Descent,.

Learning to assess subjective impressions from speech Learning to Rank Using Gradient Descent,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:10:01.402685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.