Paper Citation Record · LEDGER

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2505.16220.

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

pith.paper-citation-record.v1
2505.16220 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:28.386700Z

measured 42 of 42 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:23.482691Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy32
unresolved6
parse uncertain0
malformed identifier1
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ecaa7c47-827e-4368-8e54-5bfd8e07e92f · outbound

This paper cites Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:23.482691Z

Source-reported events for the cited work

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Observation a2a68036-7bbd-4473-821a-d7598f049aea · outbound

This paper cites Backbone SER Framework We employ a unified model architecture based on the s3prl toolkit [25].

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Backbone SER Framework We employ a unified model architecture based on the s3prl toolkit [25]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:36.225641Z

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 7a2ab609-3a2e-4913-bfc2-a17f326fbb62 · outbound

This paper cites other.” We exclude the “other.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning other.” We exclude the “other

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:36.082426Z

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Observation a2d022cc-adec-47b1-9025-17b664acc572 · outbound

This paper cites Proposed Meta-PerSER Table 1 demonstrates that Meta-PerSER consistently outper- forms all baseline methods across both Seen and Unseen Data scenarios and across all upstream models.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Proposed Meta-PerSER Table 1 demonstrates that Meta-PerSER consistently outper- forms all baseline methods across both Seen and Unseen Data scenarios and across all upstream models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:35.934863Z

Source-reported events for the cited work

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Observation 764b443b-6373-4165-95d3-e61cf8a04097 · outbound

This paper cites an unresolved cited work.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:09:35.732571Z

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 99841a1e-c773-4ab1-8d11-0581f2d683cb · outbound

This paper cites Meta-PerSER integrates a pre-trained self-supervised backbone with Combined-Set Meta- Training, Derivative Annealing, and per-layer adaptive learning rates.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Meta-PerSER integrates a pre-trained self-supervised backbone with Combined-Set Meta- Training, Derivative Annealing, and per-layer adaptive learning rates

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:35.580645Z

Source-reported events for the cited work

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Observation 09044711-7e64-47fb-a00c-7ce5c7350f2b · outbound

This paper cites Speech emotion recognition combining acoustic features and linguistic information in a hy- brid support vector machine-belief network architecture,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Speech emotion recognition combining acoustic features and linguistic information in a hy- brid support vector machine-belief network architecture,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:35.416286Z

Source-reported events for the cited work

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Observation f7121961-ccf2-4346-a129-e63f11d6825f · outbound

This paper cites Speech Emotion Recognition Using Deep Learn- ing Techniques: A Review,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Speech Emotion Recognition Using Deep Learn- ing Techniques: A Review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:35.223662Z

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 a15afbb7-abec-4c16-b06a-e9961507c104 · outbound

This paper cites Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature- Based Decisions,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Speech Emotion Recognition with Fusion of Acoustic- and Linguistic-Feature- Based Decisions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:35.029795Z

Source-reported events for the cited work

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Observation c7ab34d7-b9eb-49a3-86cb-c8ad2a1785d6 · outbound

This paper cites EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models with Subjective and Objective Evaluations,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models with Subjective and Objective Evaluations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.858958Z

Source-reported events for the cited work

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Observation 7dc1b3bc-e465-42cf-a8d4-1385527c3c73 · outbound

This paper cites Interpreting ambiguous emotional expressions,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Interpreting ambiguous emotional expressions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.699354Z

Source-reported events for the cited work

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Observation 6a84702f-8403-4d32-a0ea-222621795bcb · outbound

This paper cites The Ambiguous World of Emotion Representation.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning The Ambiguous World of Emotion Representation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:24.902229Z

Source-reported events for the cited work

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Observation 47a10a85-eb28-4209-b7fc-ff148de5fd7c · outbound

This paper cites Speaker Attentive Speech Emotion Recognition,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Speaker Attentive Speech Emotion Recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.545899Z

Source-reported events for the cited work

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Observation eeac684d-bbe6-4ffd-90fa-b59e9034574b · outbound

This paper cites Personalized Adapta- tion with Pre-trained Speech Encoders for Continuous Emotion Recognition,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Personalized Adapta- tion with Pre-trained Speech Encoders for Continuous Emotion Recognition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.348824Z

Source-reported events for the cited work

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Observation 612d0aa4-429b-45f9-8201-82504ff89a89 · outbound

This paper cites The “Problem.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning The “Problem

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.214333Z

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 37054a00-36a1-4ebf-bfc7-320c2cf313d6 · outbound

This paper cites DICES Dataset: Diversity in Conversational AI Evaluation for Safety,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning DICES Dataset: Diversity in Conversational AI Evaluation for Safety,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:34.054503Z

Source-reported events for the cited work

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Observation 05c512d8-b149-4ba7-802b-da4e402aa0f4 · outbound

This paper cites On Re- leasing Annotator-Level Labels and Information in Datasets,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning On Re- leasing Annotator-Level Labels and Information in Datasets,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:33.857690Z

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 33ae503b-aeb8-4a90-be21-ca083732fc4f · outbound

This paper cites Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:33.708913Z

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 ee086334-d68c-4754-b5e3-508455a77c9d · outbound

This paper cites Every Rating Matters: Joint Learn- ing of Subjective Labels and Individual Annotators for Speech Emotion Classification,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Every Rating Matters: Joint Learn- ing of Subjective Labels and Individual Annotators for Speech Emotion Classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:33.560933Z

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 edd9bd00-aae3-4b9a-ac2b-37425e7b7116 · outbound

This paper cites Dealing with Dis- agreements: Looking Beyond the Majority V ote in Subjective Annotations,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Dealing with Dis- agreements: Looking Beyond the Majority V ote in Subjective Annotations,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:33.439858Z

Source-reported events for the cited work

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Observation d89b476b-f03b-4402-bae4-199196b66a55 · outbound

This paper cites Meta- Learning in Neural Networks: A Survey,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Meta- Learning in Neural Networks: A Survey,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:33.160134Z

Source-reported events for the cited work

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Observation 1075fe1d-4524-4132-bb51-d908ee6451c8 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 22

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Source-reported events for the cited work

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Observation 29b61794-18d6-4812-930e-10103b51ee56 · outbound

This paper cites Optimization as a Model for Few- Shot Learning,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Optimization as a Model for Few- Shot Learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:32.862748Z

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Observation c5e40ac8-04bb-4e51-b545-cd0961ed4f06 · outbound

This paper cites Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Meta-Learning for Speech Emotion Recognition Considering Ambiguity of Emotion Labels,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:32.583112Z

Source-reported events for the cited work

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Observation cbc67106-18e7-49ba-903b-e00bafc7d770 · outbound

This paper cites Meta- Learning for Low-Resource Speech Emotion Recognition,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Meta- Learning for Low-Resource Speech Emotion Recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:32.266809Z

Source-reported events for the cited work

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Observation 8baf4a67-9bf7-4dd7-9667-7ca72a788dfa · outbound

This paper cites Dealing with Dis- agreements: Looking Beyond the Majority V ote in Subjective Annotations,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Dealing with Dis- agreements: Looking Beyond the Majority V ote in Subjective Annotations,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:32.009550Z

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 31b04a2c-4be4-4134-911f-89e228f0297d · outbound

This paper cites Speech emotion recognition based on meta-transfer learning with domain adaption,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Speech emotion recognition based on meta-transfer learning with domain adaption,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:31.730538Z

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 8a12fb9a-39c1-45ec-be76-cf8199f95d97 · outbound

This paper cites On efficacy of Meta-Learning for Domain Generalization in Speech Emotion Recognition,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning On efficacy of Meta-Learning for Domain Generalization in Speech Emotion Recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:31.444958Z

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 49c444e8-b95b-426a-966e-f3b71ef5d1b8 · outbound

This paper cites Learning to Recognize Per-Rater’s Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Learning to Recognize Per-Rater’s Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:31.115676Z

Source-reported events for the cited work

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Observation 37ea7bbf-d707-4138-9b1c-172197fc2ed9 · outbound

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

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning IEMOCAP: Interactive emotional dyadic motion capture database,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:30.863409Z

Source-reported events for the cited work

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Observation a76636bf-08d4-452d-bba5-e405d48764a8 · outbound

This paper cites SUPERB: Speech Processing Universal PERformance Benchmark,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning SUPERB: Speech Processing Universal PERformance Benchmark,

Reference 31

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Source-reported events for the cited work

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Observation c30a1408-254a-448e-9e31-0e405344efd9 · outbound

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

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning wav2vec 2.0: a framework for self-supervised learning of speech representa- tions,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:30.567152Z

Source-reported events for the cited work

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Observation a5fa9ae3-f087-42f2-8fa1-ee772ad1990a · outbound

This paper cites HuBERT: Self-Supervised Speech Rep- resentation Learning by Masked Prediction of Hidden Units,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning HuBERT: Self-Supervised Speech Rep- resentation Learning by Masked Prediction of Hidden Units,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:30.190577Z

Source-reported events for the cited work

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Observation 55c61b94-62fe-4784-83cb-e3a0e370e95e · outbound

This paper cites WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning WavLM: Large-Scale Self-Supervised Pre- Training for Full Stack Speech Processing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:29.894914Z

Source-reported events for the cited work

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Observation 0e833bb9-e452-4fad-aecc-31b3161aa58f · outbound

This paper cites Class- Balanced Loss Based on Effective Number of Samples,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Class- Balanced Loss Based on Effective Number of Samples,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:29.591860Z

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 9c949f02-5630-40a6-b272-eb779f2931c6 · outbound

This paper cites How to train your MAML,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning How to train your MAML,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:29.267113Z

Source-reported events for the cited work

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Observation ff40ef00-877f-4d1d-a941-3cccf3aaa559 · outbound

This paper cites Few-Shot Acoustic Event Detection Via Meta Learn- ing,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Few-Shot Acoustic Event Detection Via Meta Learn- ing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:28.971431Z

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 e3d2a4c4-9b03-44b0-abf8-b2b9e54f1dee · outbound

This paper cites Macro F1 and Macro F1.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Macro F1 and Macro F1

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:28.255290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57f0bac-014d-4f3b-8276-070188614498 · outbound

This paper cites Emo- bias: A large scale evaluation of social bias on speech emotion recognition,.

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Emo- bias: A large scale evaluation of social bias on speech emotion recognition,

Reference 39

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:09:28.665534Z

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 ecaa7c47-827e-4368-8e54-5bfd8e07e92f · inbound