Paper Citation Record · LEDGER

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2507.13626.

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

pith.paper-citation-record.v1
2507.13626 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:51.361777Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:26:48.588697Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:26:51.692001Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy25
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 024b4c23-8533-439a-9e2f-a0b93d9661a8 · outbound

This paper cites Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:26:51.750509Z

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.

Observation 91079d56-e74a-42d4-8969-77a7991f6e9f · outbound

This paper cites all listener.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition all listener

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:55.751403Z

Source-reported events for the cited work

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Observation c7ab896f-ecfc-418c-b7c0-520a80252659 · outbound

This paper cites prefer- ence.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition prefer- ence

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:55.379288Z

Source-reported events for the cited work

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Observation b227920a-fe9c-455a-b0ba-8464bea82671 · outbound

This paper cites Datasets 4.1.1.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Datasets 4.1.1

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:26:51.610345Z

Source-reported events for the cited work

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Observation 8041a287-d07d-4eae-b164-12d980ad1f12 · outbound

This paper cites an unresolved cited work.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:26:55.242333Z

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.

Observation 5b73d180-b75b-4cda-bb56-86a5a08bcc92 · outbound

This paper cites an unresolved cited work.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:26:55.056884Z

Source-reported events for the cited work

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Observation 9400441c-ff38-4c1b-84d9-41e6e5c0f616 · outbound

This paper cites Ef- fect of attentive listening robot on pleasure and arousal change in psychiatric daycare,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Ef- fect of attentive listening robot on pleasure and arousal change in psychiatric daycare,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.228681Z

Source-reported events for the cited work

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Observation b2281349-9313-411d-8afa-6aea4de69d1b · outbound

This paper cites Speech intelligibility prediction using a neurogram similarity index measure,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Speech intelligibility prediction using a neurogram similarity index measure,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:49.234447Z

Source-reported events for the cited work

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Observation a4971b68-2b9d-4dbe-bf7f-ae34b1a770d5 · outbound

This paper cites Glow-tts: A generative flow for text-to-speech via monotonic alignment search,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Glow-tts: A generative flow for text-to-speech via monotonic alignment search,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.936732Z

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.

Observation 3b6befe2-68e2-47c6-83be-bb22088c76e4 · outbound

This paper cites Grad-tts: A diffusion probabilistic model for text-to-speech,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Grad-tts: A diffusion probabilistic model for text-to-speech,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.799858Z

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.

Observation 973c4d01-ffde-4ca5-a033-eba47b4ec345 · outbound

This paper cites Low bit-rate speech coding with vq-vae and a wavenet decoder,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Low bit-rate speech coding with vq-vae and a wavenet decoder,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.646174Z

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.

Observation 28dbdaa2-52f8-43fa-a561-ddb5e892d01b · outbound

This paper cites Lpcnet: Improving neural speech synthesis through linear prediction,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Lpcnet: Improving neural speech synthesis through linear prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.514998Z

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.

Observation 13464c96-3e16-44fb-8120-8f5c1b331224 · outbound

This paper cites Developing conversational virtual humans for social emotion elicitation based on large language models,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Developing conversational virtual humans for social emotion elicitation based on large language models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.372902Z

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.

Observation 738eba42-5ac5-48a8-9f10-6fc99e7fc947 · outbound

This paper cites Moslight: A lightweight data-efficient system for non-intrusive speech quality assessment,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Moslight: A lightweight data-efficient system for non-intrusive speech quality assessment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.178914Z

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.

Observation ccecc54c-2f2e-44fe-bbd7-aa37e6a4da82 · outbound

This paper cites An evaluation of speech-based recognition of emotional and physiological markers of stress,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition An evaluation of speech-based recognition of emotional and physiological markers of stress,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:54.110573Z

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.

Observation 2c478314-0935-4554-bdd3-566432591486 · outbound

This paper cites Mental health monitoring from speech and language,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Mental health monitoring from speech and language,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.971205Z

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.

Observation 080f8632-31f9-4cbc-916e-5d97be733cf8 · outbound

This paper cites Mining valence, arousal, and dominance: possibilities for de- tecting burnout and productivity?.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Mining valence, arousal, and dominance: possibilities for de- tecting burnout and productivity?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.822880Z

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.

Observation 3f8bdec2-8d2b-4eb1-9e62-96a2efe9a2b4 · outbound

This paper cites Ldnet: Uni- fied listener dependent modeling in mos prediction for synthetic speech,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Ldnet: Uni- fied listener dependent modeling in mos prediction for synthetic speech,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.661813Z

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.

Observation bb1680f6-8c02-44fc-8f4c-c2d0e5c9789d · outbound

This paper cites UTMOS: UTokyo-SaruLab System for V oice- MOS Challenge 2022,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition UTMOS: UTokyo-SaruLab System for V oice- MOS Challenge 2022,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.506604Z

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.

Observation a47a948c-e10f-4883-9866-472e431baea5 · outbound

This paper cites Sqat- ld: Speech quality assessment transformer utilizing listener de- pendent modeling for zero-shot out-of-domain mos prediction,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Sqat- ld: Speech quality assessment transformer utilizing listener de- pendent modeling for zero-shot out-of-domain mos prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.354590Z

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.

Observation ab00940d-82bb-406f-960a-19d05ffd7508 · outbound

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

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech representa- tions,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:50.792739Z

Source-reported events for the cited work

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Observation 2376936c-ce4a-4965-9135-aab2cd323a23 · outbound

This paper cites Meaningless statistics,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Meaningless statistics,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:53.008495Z

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.

Observation e1f49513-ed02-4119-884b-daca928a07a5 · outbound

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

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Preference-based training framework for automatic speech quality assessment using deep neural network,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.871378Z

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.

Observation 1b78adf0-8afa-4a83-bf21-4b6bf100e934 · outbound

This paper cites Dawn of the trans- former era in speech emotion recognition: closing the valence gap,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Dawn of the trans- former era in speech emotion recognition: closing the valence gap,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:50.533280Z

Source-reported events for the cited work

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Observation 56647c9b-b61b-4419-8390-5dc3c4c21fe8 · outbound

This paper cites Speech emotion recognition based on listener-dependent emotion perception mod- els,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Speech emotion recognition based on listener-dependent emotion perception mod- els,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.729633Z

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.

Observation 21fe2704-2215-4ca3-b4f8-f9dc23432ca2 · outbound

This paper cites Multi-task conformer with multi-feature com- bination for speech emotion recognition,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Multi-task conformer with multi-feature com- bination for speech emotion recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.529387Z

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.

Observation 6b6aeeb4-d352-4d24-9d7e-290c1d5a7d65 · outbound

This paper cites Mbnet: Mos prediction for synthesized speech with mean-bias network,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Mbnet: Mos prediction for synthesized speech with mean-bias network,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.424912Z

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.

Observation bf5b91ca-025f-4d6b-af0c-53e2ec9c753b · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Iemocap: Interactive emotional dyadic motion capture database,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:51.294187Z

Source-reported events for the cited work

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Observation 9ec44357-d726-4598-b4c3-b813b7740c46 · outbound

This paper cites Simple and Effective Zero-shot Cross-lingual Phoneme Recognition.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:50.889367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b99fca8-1b4e-41dc-9a98-350610c70159 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.263749Z

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.

Observation 98e896c7-7cc8-4649-aa96-71a76ea22aa0 · outbound

This paper cites Robust wav2vec 2.0: Analyzing domain shift in self- supervised pre-training,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Robust wav2vec 2.0: Analyzing domain shift in self- supervised pre-training,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:52.134863Z

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.

Observation 5a79dae9-feb6-4da1-971a-32a6e3b9d5e0 · outbound

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

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Robust speech recognition via large-scale weak supervision,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:51.089994Z

Source-reported events for the cited work

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Observation 3652ca6e-da39-4ee9-86da-b04ff8d13132 · outbound

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

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:26:51.167162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3afd3b3c-00c1-43b1-babe-b48ebced884e · outbound

This paper cites The V oiceMOS Challenge 2022,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition The V oiceMOS Challenge 2022,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:51.989354Z

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.

Observation d2638599-23ee-49b6-8c86-ff9e51d517ac · outbound

This paper cites Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:51.856641Z

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.

Observation 11c2779a-ce3b-4ae3-a81c-ae3e5878de59 · outbound

This paper cites Due to its robust performance and relevance, the UTP model serves as the baseline for our proposed approach.

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition Due to its robust performance and relevance, the UTP model serves as the baseline for our proposed approach

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:26:55.559246Z

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.

Pith citing papers

Observation 024b4c23-8533-439a-9e2f-a0b93d9661a8 · inbound