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Paper Citation Record · LEDGER

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.02059.

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

pith.paper-citation-record.v1
2506.02059 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:05.607696Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:02.131837Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:56:06.781642Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact3
  • verified fuzzy36
  • unresolved3
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6b44e2d-3790-4f5d-a236-43331f2023b9 · outbound

This paper cites The goal of SER is to automatically infer emotional states from speech signals, enabling more natural and adaptive interactions between humans and machines.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition The goal of SER is to automatically infer emotional states from speech signals, enabling more natural and adaptive interactions between humans and machines

Reference 1

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malformed identifier
raw_fallback, observed 2026-08-07T11:56:09.599644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 711c5d98-9dcb-4080-bbf4-e4df9a710278 · outbound

This paper cites Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition

Reference 2

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metadata mismatch
local_arxiv, observed 2026-08-07T11:56:06.958185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:9ca2ffc152575e3a24c49898849671ee8de09d6f1d725c8dbd5407a69d5c79bc

Observation ad9ed6f4-bb30-4591-8791-26e8495ed198 · outbound

This paper cites happy,” “sad,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition happy,” “sad,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.584807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.184517Z digest=sha256:fc75e46c237ac176694bfa16f4d77e8ff761087283398802fce92d4830bbec74

Observation ee00961f-e033-4b37-a7da-fa037edd58b3 · outbound

This paper cites anger”/“happiness.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition anger”/“happiness

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.551533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.243155Z digest=sha256:5a0531d461698a18f0fecd77c416a3d99dae37427b753da4a0504c1c7109be72

Observation 626ce7cd-b21a-43ca-8be9-1922189d656c · outbound

This paper cites We use Whisper.small.en via transformers 4.39.3.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition We use Whisper.small.en via transformers 4.39.3

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.567721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.218277Z digest=sha256:f28c82957765c15ebfc31d526c0bceb4316b25b8dcf4afbf9272f2a156267564

Observation c386c8f2-1a78-47fa-987f-cb78678354de · outbound

This paper cites an unresolved cited work.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Unresolved cited work

Reference 6

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T11:56:09.535935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.280737Z digest=sha256:4ae6fc61796605ae9a1c77d99f00935d9d069f908de199a8032ee55b49b33ffa

Observation 04005c1e-abf8-4dbf-a574-8a23d00ef00f · outbound

This paper cites The views, opin- ions and/or findings expressed are those of the authors solely.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition The views, opin- ions and/or findings expressed are those of the authors solely

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.518324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.318600Z digest=sha256:25c5d86ca372af3ed1d3291a3065ec15a44572e128e26eb10122aa9989891292

Observation 649c2c82-f91a-4f73-b042-6990a419e43f · outbound

This paper cites Modular neural-svm scheme for speech emotion recognition using anova feature selec- tion method,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Modular neural-svm scheme for speech emotion recognition using anova feature selec- tion method,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.503664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.407140Z digest=sha256:92f04f60a784260e0624710aa6f086eac64d01a3911a4d6b9d8de8abaf226937

Observation f0e14408-ebb8-4cc9-b335-9a5f3ed075d7 · outbound

This paper cites Amplitude modulation features for emotion recognition from speech.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Amplitude modulation features for emotion recognition from speech

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.486276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.458442Z digest=sha256:05bf0143bc4fc05636135db651f165fb7509e1e73905ae09f7500163b4df4ed4

Observation bd947d92-b5ad-4280-a6da-a3b53e3e4b6e · outbound

This paper cites Enhanced multiclass svm with threshold- ing fusion for speech-based emotion classification,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Enhanced multiclass svm with threshold- ing fusion for speech-based emotion classification,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.469625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.506456Z digest=sha256:ab0f4aeaa4699e4fe55587a57f0bb08f5c750b5e0c0a88bce51dd9ccde193c2a

Observation 03cb07dc-1684-44dc-927f-68a6a9a257c9 · outbound

This paper cites Selection of features for emotion recognition from speech,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Selection of features for emotion recognition from speech,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.449555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.569761Z digest=sha256:29a898cdd106df5303e7f8e00c249447487d1d7ccd4cd2fdea873d0a62864836

Observation b11728a4-f371-4dd6-9dde-80623f5e6da3 · outbound

This paper cites Hidden markov model- based speech emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Hidden markov model- based speech emotion recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.433918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.655419Z digest=sha256:302cdef2b7cc4f8531f0bd0af63d0f99286f8dbcc6e743cf0aef9399c0b79962

Observation 6e25c054-1b41-4bfd-bdf4-c76a7672c303 · outbound

This paper cites A modified feature selec- tion method based on metaheuristic algorithms for speech emo- tion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition A modified feature selec- tion method based on metaheuristic algorithms for speech emo- tion recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.393905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.710431Z digest=sha256:870cde89ed7d7e34e95da805a3d3f2899d80479c71bd6862e148589e156ed124

Observation 2902a2df-9dbe-471e-9b8e-c79251ecb4d6 · outbound

This paper cites Speech emotion recognition based on formant characteristics feature ex- traction and phoneme type convergence,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Speech emotion recognition based on formant characteristics feature ex- traction and phoneme type convergence,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.302221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.773271Z digest=sha256:9e962c6fab678af1cd96e0488412499d5fc9e6dce1a618a1d07f8fe30d74f23b

Observation d9c28d80-5b08-4d09-911d-072f7d42a07e · outbound

This paper cites Efficient speech emo- tion recognition using modified feature extraction,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Efficient speech emo- tion recognition using modified feature extraction,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.229804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.827006Z digest=sha256:d2e9375dc00b375dc5a1ac9f4d56239dbdca98bf8432a239f6b286336804c570

Observation 1cd9105a-8319-4945-bf94-2cb8d67a8eef · outbound

This paper cites Speech Emotion Recognition using Support Vector Machine.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Speech Emotion Recognition using Support Vector Machine

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:06.605533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.875636Z digest=sha256:3a4127e4462c4785545cf0fe75335deaddbd814ee3d179fca689f44e0baecccb

Observation 7b1f82c0-80ec-418c-9e65-b2716007962d · outbound

This paper cites Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:06.238255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.926732Z digest=sha256:826eafc6e11d9f3bdc7a9c1c47888b004cc268566e6bb587c7f906abd107d406

Observation 28641fe7-e446-4c89-8acc-8c95b4ce87e1 · outbound

This paper cites Multimodal multi-loss fusion network for sentiment analysis,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Multimodal multi-loss fusion network for sentiment analysis,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.190171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.982031Z digest=sha256:cbb2424e709794997bd9b832e66859e782c9012cab3a911f7bb9ab7e9484dbe2

Observation 3f7a2d10-ec43-47df-885c-42ffd4d74567 · outbound

This paper cites A New Approach to Accent Recognition and Conversion for Mandarin Chinese.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition A New Approach to Accent Recognition and Conversion for Mandarin Chinese

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:56:05.970124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.034207Z digest=sha256:9dbe6e7afcd7eeb4f229b5026c426e6028785f34e970169b7066e15bfea2d180

Observation c9733aa8-c2ab-487d-aa7b-5e710fd048e5 · outbound

This paper cites Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:03.104110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:03.104110Z digest=sha256:6506eb09362948d2adab5f8dfc8251d926d755cb38ac7d92ba57219f3191c859

Observation 32b377b3-ac82-422a-babb-9e21147438ef · outbound

This paper cites Context-independent multilingual emo- tion recognition from speech signals,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Context-independent multilingual emo- tion recognition from speech signals,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.171131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.167518Z digest=sha256:71fd1f0cc312057bd6691cb3b52332d9cba4195f36b96f7af8b791a517919a16

Observation 56eb58da-2293-4c62-bf36-f0154f73a795 · outbound

This paper cites On acoustic emotion recognition: compensating for covariate shift,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition On acoustic emotion recognition: compensating for covariate shift,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.150490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.246325Z digest=sha256:2ff6616797be331fe88a86b5e7d6959a7801d6189656636198c422de18e4b602

Observation 372952eb-a0ba-4421-a8c4-407b24af6562 · outbound

This paper cites Cross-corpus speech emotion recognition based on transfer non- negative matrix factorization,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Cross-corpus speech emotion recognition based on transfer non- negative matrix factorization,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.129930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.299686Z digest=sha256:cb1ec8152fde59859242ee041912201b25ba6d560e246b095d85a032830bc1cf

Observation d1ef6795-d78a-41a0-99f6-1e983550b7ab · outbound

This paper cites Deep implicit distribution alignment networks for cross-corpus speech emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Deep implicit distribution alignment networks for cross-corpus speech emotion recognition,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.109755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.363184Z digest=sha256:9865742624c592ebafcdc5c1d12c6c2602d3ccec9e35dd475383c08de516a18d

Observation 3baf0bf4-0123-43a8-9954-62ceef008c27 · outbound

This paper cites Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:03.435550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:03.435550Z digest=sha256:14d730cde1cb81b17861ded47995d8a8929348c66bdcde24fb30000c21082563

Observation da608ef9-71fe-4509-b7b2-01279465fc0b · outbound

This paper cites Contrastive unsupervised learning for speech emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Contrastive unsupervised learning for speech emotion recognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.090419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.506157Z digest=sha256:439734a53f6f36a594737689711016116193f2e22ffa7427285b18d3826a6e5a

Observation 081c4b8d-4a2c-40fd-835c-b6a79ebce29d · outbound

This paper cites Scser: Supervised contrastive learning for speech emotion recognition using transformers,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Scser: Supervised contrastive learning for speech emotion recognition using transformers,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.073103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.596537Z digest=sha256:b4d153c0816f1ae9e9ba97b8ef1ec38d7813f5cf9eb185a23a0ed08dc6f62da5

Observation 4252db27-0d03-4e1d-b00f-28eee7e62f32 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Bootstrap your own latent-a new approach to self-supervised learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.053503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.693730Z digest=sha256:4bd44798ab8db0c6b02a27d902cdf46bcb1b7617b8a9c4b7635b121c245d7529

Observation 42f6409a-0536-49cb-8eb8-f8ea737c7294 · outbound

This paper cites Byol for audio: Self-supervised learning for general-purpose au- dio representation,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Byol for audio: Self-supervised learning for general-purpose au- dio representation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.031408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.756089Z digest=sha256:ccd90049c52504a333489c774c850327bba2ee331a4e9562a1f851aaad6ecb33

Observation 25e394cc-5c87-4b85-aec9-00af40a4988a · outbound

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

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:03.844069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:03.844069Z digest=sha256:3ab418e87d7f558daf5fff7bca8d9bad2fedd28fb8bd52ca44df26fc866925ce

Observation 49720e77-e5ed-4648-b487-4e1deddc1385 · outbound

This paper cites SpecAugment: A simple data augmen- tation method for automatic speech recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition SpecAugment: A simple data augmen- tation method for automatic speech recognition,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:09.004048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:03.936881Z digest=sha256:4a03d6282f2719f4ee0097b0768571ada00ccb8adbc741e12952f5196d627186

Observation 26a850d0-a5df-49d4-859a-9c2c9b8caf77 · outbound

This paper cites Revealing emo- tional clusters in speaker embeddings: A contrastive learning strategy for speech emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Revealing emo- tional clusters in speaker embeddings: A contrastive learning strategy for speech emotion recognition,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.986676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.001232Z digest=sha256:e1e1de670cab75ad0b200e86e6f41986004319bde2b1f989feee4f4fdb3c4c98

Observation 78dbe2b8-532c-4d9e-a8a7-41fa54bc73fe · outbound

This paper cites A comparative study of pre-trained speech and audio embeddings for speech emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition A comparative study of pre-trained speech and audio embeddings for speech emotion recognition,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.969904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.065659Z digest=sha256:46978a4e950fb948672a1a0f2c548f80f66fb7ce3b5df5f382ef79f9c598c5b7

Observation 48016ccc-71ee-4e5b-be4c-f4c7d677e932 · outbound

This paper cites ECAPA- TDNN: Emphasized channel attention, propagation and aggrega- tion in TDNN based speaker verification,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition ECAPA- TDNN: Emphasized channel attention, propagation and aggrega- tion in TDNN based speaker verification,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.951389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.137419Z digest=sha256:a63faafa4837070bf5a66206420c84c37f123bcdb06a293e76760f8d371b3f20

Observation dadfe835-2a82-420d-86ff-c66cdcda19de · outbound

This paper cites Improved deep metric learning with multi-class N-pair loss objective,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Improved deep metric learning with multi-class N-pair loss objective,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.918800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.202197Z digest=sha256:eb15d6eadfccb75f291d9db7f84bd3eb94d1fee158120076f438b255e6b1fcaa

Observation 3908389f-27df-4c19-aa4f-7218ec2ccfa2 · outbound

This paper cites Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from ex- isting podcast recordings,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Building naturalistic emotionally bal- anced speech corpus by retrieving emotional speech from ex- isting podcast recordings,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.780186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.226941Z digest=sha256:015c99acd85895d04e66e30521e887a58c49c304b209ca70691f9e934224373f

Observation f1ac2343-f515-459e-bb2c-16d87a6cf20d · outbound

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

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition IEMOCAP: interactive emotional dyadic motion capture database,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.713876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.415054Z digest=sha256:c0efea38406fd696a31dd9d673683de3884052e40843e92fd20195308819a397

Observation a01d78e1-bb79-4889-91e5-fa4d7c9e0e65 · outbound

This paper cites A database of german emotional speech,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition A database of german emotional speech,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.624503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.570053Z digest=sha256:b186e47a621530278ef07db5676a901d24a3f10b7e2dfd22b434283aafe25862

Observation 5b5c7b7f-c743-4ae6-9063-3d7e50640443 · outbound

This paper cites Cross lingual speech emotion recognition: Urdu vs. western languages,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Cross lingual speech emotion recognition: Urdu vs. western languages,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.502177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.732996Z digest=sha256:bf11b609397747721e204cf38f4e3f3a426cb53457ed503b87ea304b00a39885

Observation 65dc2f63-138f-40e0-b291-56e6f48019a4 · outbound

This paper cites SUST bangla emotional speech corpus (SUBESCO): An audio-only emotional speech corpus for bangla,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition SUST bangla emotional speech corpus (SUBESCO): An audio-only emotional speech corpus for bangla,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.329137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:04.863032Z digest=sha256:605088c6fd88f85650f7756507fbed70c6bdb83de284bec23a480e695e04c156

Observation 830f635f-6053-414a-8119-da2872996e0c · outbound

This paper cites A mapping on current classifying categories of emotions used in multimodal models for emotion recognition,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition A mapping on current classifying categories of emotions used in multimodal models for emotion recognition,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:08.110377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:05.022216Z digest=sha256:a62b9a20e9a1a44a3458bfa88a65d6a2bfdd288286b5beac841be095897607d6

Observation a34ed134-b4f2-4754-b400-6760a12f5838 · outbound

This paper cites Common voice: A massively-multilingual speech corpus,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Common voice: A massively-multilingual speech corpus,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:07.838724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:05.176805Z digest=sha256:eb4c658c0741978114485ea22cd69adb93ceaecf3ba70c945a376714da8b7886

Observation ed0c6136-ee25-41a1-9108-d368845d6830 · outbound

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

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Robust speech recognition via large-scale weak supervision,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:07.618498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:05.310254Z digest=sha256:7a246bc4d6a9585297c7b1e3dfe3f81d27fb64961e4b3c0992bcf78e1be8c573

Observation 047d47be-059e-4f90-972c-96dcbe8fd65a · outbound

This paper cites Towards generalizable SER: Soft labeling and data augmentation for modeling temporal emotion shifts in large-scale multilingual speech,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Towards generalizable SER: Soft labeling and data augmentation for modeling temporal emotion shifts in large-scale multilingual speech,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:07.395728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:05.493371Z digest=sha256:6e2c14c3f9166e794cf00ac80776c822c0ef06678afa751d58cd143c93545b3b

Observation 130be1d4-ebdd-4281-9300-3757a479fd89 · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Decoupled weight decay regulariza- tion,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:56:07.184074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:05.607696Z digest=sha256:9e1304d6a1b092e4691554299b4a7b3f442131e2b12f1009c4160ce094131010

Pith citing papers

Observation 711c5d98-9dcb-4080-bbf4-e4df9a710278 · inbound

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition cites this paper.

Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T11:56:06.958185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:9ca2ffc152575e3a24c49898849671ee8de09d6f1d725c8dbd5407a69d5c79bc