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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:8f895c1b4f0f8bd75d3eb7cfd8c4cbf72f5054775f465e2de5e1466c8c621db5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.184517Z digest=sha256:8d8e1048229efebd58c8589577abcb89f1e77e9d48536970cf5e487d13754aa1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.243155Z digest=sha256:ef2ecec4901805784097a76dfef6b281f122edc4562f9a9da568a72811441db3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.218277Z digest=sha256:01957be5324579b4e5c5e8c33bb26d54be5436923cc3a7e73410fde30a1bf1d5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.280737Z digest=sha256:6ac04ea7ab57679e2a4a6f672ee302340770ef65e10600e37aacf28913fdb2a7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.318600Z digest=sha256:79fee85c42ec17b8f177ef52da68cef4e5e285718604334c590fc454a5859005

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.407140Z digest=sha256:d5ab060ce862446070fe5501ee02b8c7c5ce8ffaa397223a27f5b69bc8ee69f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.458442Z digest=sha256:a650ff904e774b6421331d7f95e855652143ec5ff1c3d3e8263e839c40735e73

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.506456Z digest=sha256:c9e910974c8e2a599a16259f32a3108177250d9ee91bc361095f0b0c4f26b4c0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.569761Z digest=sha256:c22505dc95f00cb786508e509d29e0c0109127f0c1b1a3c08397b574802e57fe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.655419Z digest=sha256:cd21adb5d999b0dade7a4fcfa65651b4f225119b3d32751f1b9c163b6eff55da

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.710431Z digest=sha256:54fc3944c109cbeb95df487d3c439b9a018cf0c8de226e175baf448bf55b297b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.773271Z digest=sha256:9f032f0202923282af40f62fee89080d95a71af8fd3381ae6b9c113e7aa39ddb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.827006Z digest=sha256:402796b3caa2b0e34cbfe29076ac6429a13fe94679db9d784c10fd428d1eb828

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.875636Z digest=sha256:9bb0ab73e3988c2d0d53a256dbb33c49a3aa4866656f11aa9c5dd5ca9b1185c9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.926732Z digest=sha256:4c74747e53028332c95d5d4e24bb26f978c92eee11bb699684a0fa6d4c26b1ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.982031Z digest=sha256:2aedb6f2318c15b805386a5f5f7727cd194b7abf8a55896b01ac6c465a76737f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.034207Z digest=sha256:545928cc61281b3fb78c3fae231fb4fb723a7105d8943dec9967e024a5bacd74

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

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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=sha256:66e507059431aa6d87f5e485e08c62dbd3bbf1a11815bc2beaab7baff19de06e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.167518Z digest=sha256:258e4171621e233999d886e4ac6570ba722ac80d06ecfe536c36c857a9c41a90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.246325Z digest=sha256:40aa73f0bb9b521564507ba3bb179e2eb8f396269df69b7e4783fc73fb68347e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.299686Z digest=sha256:a0b6268f2047113b86edc89f268e0bc92f45933400ee0d381163454725fbee8f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.363184Z digest=sha256:f8c69b44a8b8f57ecdfad73775c02a4ffbf80cb3b2940cafb06143c66b0f2e6f

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:b0580fe3adac892e9fdc9ca1fdd63a8cedc1af7ac2032965c9f1444b3d84ee13

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.506157Z digest=sha256:0d68d7d9e5cc7fcbd390cf168b9006ea8b8f08d6f6f2d46a19a9ea0b5c0bf81c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.596537Z digest=sha256:3a82dcbca22fd6e67771d24c273836b3e2c13a35f1b01dc74f000de34d023b6b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.693730Z digest=sha256:48aee2cc41ba06f2de75a2ef0e28ef6fb780ed3bf777f8276faf5f78453d27ba

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.756089Z digest=sha256:1087ad74f534e9eed7b7d784404466c6712a65485d4c3bb8cbd61b5e3df10d85

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=sha256:88ca70ccb7c720c6eb1a00c775bfc4d9b0250f2b63ed48c3051880bf36d4e06a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:03.936881Z digest=sha256:d1725c0f2a5d4b740f73122e08247d4b7c9de7572bc48be550cce23d54b6ffbc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.001232Z digest=sha256:d0d7609d5e9f55946d458d6f0ba4d8b280de57e216ae3826441acb074ac64bc6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.065659Z digest=sha256:fc0bbde7596da86ab59994a82d427b4e049a5274a19cb2bbb4db59b2d9e6efae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.137419Z digest=sha256:40c45dbbf5d1258188e7f3a13d1479e458442a16df1b99510828c1965041151e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.202197Z digest=sha256:5667bf910866d0496d9c2311ec7eb3576568d3093365b140bf24f6603b63a526

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.226941Z digest=sha256:1ac2cdebc945c6b3e1c7f989a423aef893613098b168bbc7fda8ae130dda2242

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.415054Z digest=sha256:f2007e2af7a7af143de7b6c10300c2dcfbca2140b71367b59a08b295bcf339c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.570053Z digest=sha256:2557d782df5330e0f1750429d39faca77f68412c4694f1b6b6ca06591b5cfdd8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.732996Z digest=sha256:1eb848e8feef4831de5f72af8c03f979a16cbdc08ed24cabddc621c456aa1a03

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:04.863032Z digest=sha256:e9bc2af34951b6fe66431dbbc3a369773aa48ee678625ece8b76f4fa933cfabf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:05.022216Z digest=sha256:57e1d44a72384daae764b9c42d153db1697704c09c87f5b5351a71626746ac94

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:05.176805Z digest=sha256:646e3750d14bf35639a984259fd4188452e92be4ae0d907e98f7b0420c3365d6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:05.310254Z digest=sha256:53a36e51669382d075bcd92dd4d46be06773384b436a223d5ccc32324dff8a13

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:05.493371Z digest=sha256:afbc5ee31f521c214d1a6bc1eea51bff138ac4ee1cf616ddc6e0e065662cdeab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:05.607696Z digest=sha256:393425abc974d764954f022a1a7be858f0752cad9f56a3dcac1bb938c106e033

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T11:56:02.131837Z digest=sha256:8f895c1b4f0f8bd75d3eb7cfd8c4cbf72f5054775f465e2de5e1466c8c621db5