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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:57f0b0fe3bfb99da183913173f237d5d580d8bed39a69f07e3c936da2bd0848d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.184517Z digest=sha256:5d9136a1a5fdae6c5141b110357ebe2018330eae84bf6a3351179f2db24f46d5

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.243155Z digest=sha256:1a8138e28ac8da6956c485bd3f5ac96ca6e69815bf76a8008e04b55f781c4870

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.218277Z digest=sha256:2e5c1a58e3775549ed35a59d8fe3b01e80acb9f5b5ad05ab09d04728c4175fa3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.280737Z digest=sha256:47205e55e69b7e96ecfafabfb46c13c5cadcd4b217aa80e848f9724fb64b908a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.318600Z digest=sha256:911004ff6dc3d7592831205c3d6fa00e7fa061e3747caf0974bf62eda77ec85e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.407140Z digest=sha256:d342857483d48fc1ee4444122658d802ab9b5241e9446a365b11e8c51b5aea77

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.458442Z digest=sha256:3b56897f05de5b0f7a9ffc51fa5ee55cf7a984d81e760a6470e8e4b10422642a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.506456Z digest=sha256:ceeb3535421312ff92da75b87463adf7470535833f5bedf35e8caaae05a250a1

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.569761Z digest=sha256:86db6a0e8e7cd7fa409edf3df77db24153197319540d06d1ebf7199a77ba6f7e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.655419Z digest=sha256:3cfc1e1795b3d21e444d64810358f8b4c7a581450b90b4081f3f9761e073a194

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.710431Z digest=sha256:3a5e283370e5f000e69aa2a2dccac8c32dd5d45fe7b785da37823600eaf7363d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.773271Z digest=sha256:a9f9c7dc536eb67cf635b5a27372e045ee702b337f4b37528fb619d571f70d92

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.827006Z digest=sha256:52f5e462e04315ceda6970b1bec936a33f09c0bbc38de12c732d1e6e4559fd0e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.875636Z digest=sha256:5cf992e1574d56a7048b2fa0d849622e0e4fcc5123654a49d5a48b6d9502ba74

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.926732Z digest=sha256:61c4fb94b5f5cd47c0e8eb197709d0b947dad35a647df18b67652e966f48e0a5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.982031Z digest=sha256:6b6b129442c9ea7229e7c512e58b0573d7c2aef396d0c5a09a5cecfb858ac662

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.034207Z digest=sha256:d684f930a9ca8d26748b6c102d2643078c25b73fbb01c67583e12452e5919fa9

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:a16ba1f836246aeb6bc974d6adc90f15aa0c461fdf4937a0b611d42e891a6802

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.167518Z digest=sha256:7d4f16ea58a9378502b6a781b6783a8e979401cfead8506ed98f4c3a8803ab46

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.246325Z digest=sha256:0935cddc884f24d0db6da3709b304bbd064eaf8a67899661a11dcd1aa1829eaa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.299686Z digest=sha256:94a366c62e6348e25ac93561b8eca1ca659b2b32a7a4413dc38a703d2d1fbc4c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.363184Z digest=sha256:a35aeeeb97b7ca3be4f017a06b8e05d0b075845a30d69f319c00ab4e7b3fde2f

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=sha256:3c606b122e16adb1b1c7c72ef5e39917a11706d13321a85f5bfa60574c187895

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.506157Z digest=sha256:592ad52a3feb06e6e6751bbc7c3f9ac1ba7fc4432c7d257b32c34aecea3033d8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.596537Z digest=sha256:33f1b110bd290952d5957b4ca4d85999bf29279a402ecaf2dfaecf43a979dada

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.693730Z digest=sha256:951a902e4e886936a80c91881d27a4dc4a360efb38eb62d5ac6d0bf40c2d0219

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.756089Z digest=sha256:d9720dc0e9fa49e413243dc50e78b151a8dd2e4a9ae6547795db6cf84c4be9da

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=sha256:880b843bc0ef5939a51a9b515abba68c549da95aa6f56587052da661e1207aba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:03.936881Z digest=sha256:72f9bc74ebec98fad46dbae6ec40bf651c56a9d5c7d3d3eb8d3767a7f3729e13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.001232Z digest=sha256:9d53d6400088236891565cc3b5056759045fda78c7b9d8e322b2e8c96ca33626

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.065659Z digest=sha256:b52a6ba3d556ed4ac100423c8e58a1cae393e4a7693da83bfda69cf5a261208f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.137419Z digest=sha256:3fc45480f10127c2a1fbf54204ab8e1f3d7a2c8007974e0e583a76154c4e377a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.202197Z digest=sha256:b415aa734b7d8cfc52c35d432daf85e900fc666d4dfd896dc97459408aa3b798

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.226941Z digest=sha256:627f465f72e4b45161bde440fef3f98df27ea1dc2daec06ac4ccb5179959954c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.415054Z digest=sha256:6bb34c51e039529e724f5bcef432a4f18fc793fb317dfd52a5d7ea11de49dcdb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.570053Z digest=sha256:dc36348ff32a1fdcacaa1820cef064feb7da85416bf0726d6e722cab89ea556d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.732996Z digest=sha256:253bb54a0ace514b7b9cb642bd099f827a7da5346a96cda9a9dc5bbb50d62e88

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:04.863032Z digest=sha256:974d9d3d1675bada31082f2e2815b65618bf6a24649b3cc95b1481dfc4abacf4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:05.022216Z digest=sha256:c2cebe9a58ac4ebe02f2595936e122585eebdedb508c6466e516293c945ce32c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:05.176805Z digest=sha256:a22489e5b2fd6765e7f2963f17a890f8e950565f19aa9e37bee1a9897cdea97e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:05.310254Z digest=sha256:7fa192464fc0de6ed3c7e3039a0eef53fb1ddcdb10d54d04646162e926595f4b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:05.493371Z digest=sha256:ef4b1aa04c5c8bc1571d6a169449b4e4c624b3f558d1a0095fdaa0213b1cacc8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:05.607696Z digest=sha256:e8f7aae8aad30b9be1060966656a15c6bc4465c8e16e71f00e0e31f620504132

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:57f0b0fe3bfb99da183913173f237d5d580d8bed39a69f07e3c936da2bd0848d