Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:35:28.550194Z
Paper Citation Record · LEDGER
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning
As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2411.19803.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact1
- verified fuzzy17
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 87d9ad96-4d1c-42b6-a0eb-5c8f1854490b · outbound
This paper cites Emotion recognition combining acoustic and linguistic features based on speech recognition results[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Emotion recognition combining acoustic and linguistic features based on speech recognition results[C]
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.886347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 908c9d4e-0cfc-490f-8897-0b7a95af226d · outbound
This paper cites Deep implicit distribution alignment networks for cross-corpus speech emotion recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Deep implicit distribution alignment networks for cross-corpus speech emotion recognition[C]
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.870600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ed9329f7-274f-4a1b-acc8-6abcdaa1aeec · outbound
This paper cites Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Exploring wav2vec 2.0 fine tuning for improved speech emotion recognition[C]
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.855026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2f1f8a3-12d1-4b71-92af-fdd301833b95 · outbound
This paper cites A Comprehensive Exploration of Fine-Tuning WavLM for Enhancing Speech Emotion Recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning A Comprehensive Exploration of Fine-Tuning WavLM for Enhancing Speech Emotion Recognition[C]
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.839547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1fe7058-3456-488b-b213-abdc0b1d33de · outbound
This paper cites Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition[C]
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.823518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 78951810-22e1-4f3c-9da0-4e3089592eae · outbound
This paper cites IEMOCAP: Interactive emotional dyadic motion capture database[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning IEMOCAP: Interactive emotional dyadic motion capture database[J]
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.808189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 68df4ff5-db8f-44bf-82aa-01abd2b52ee6 · outbound
This paper cites The CASIA audio emotion recognition method for audio/visual emotion challenge 2011[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning The CASIA audio emotion recognition method for audio/visual emotion challenge 2011[C]
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.792596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a24e56bf-b372-4e91-af90-d57b559d7a02 · outbound
This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Hubert: Self-supervised speech representation learning by masked prediction of hidden units[J]
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.776679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f166aee7-3d95-447d-b6b5-4c640f29c041 · outbound
This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Wavlm: Large-scale self-supervised pre-training for full stack speech processing[J]
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.761468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1ae18d8-651a-4b66-ad8f-b08d92f33ee8 · outbound
This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning wav2vec 2.0: A framework for self-supervised learning of speech representations[J]
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.744898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cfe810fc-43d6-48a3-a627-6466166fd8f7 · outbound
This paper cites Speech emotion recognition using self-supervised features[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Speech emotion recognition using self-supervised features[C]
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.729302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5444e15b-5d3c-47b1-99d8-a235998fe7eb · outbound
This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:35:28.516037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e17b1d-7691-4ee7-9e4a-3ea6f758267b · outbound
This paper cites Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothing[C]
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.713049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 243d1a48-66b0-4c87-b8ee-ddcbf3c12125 · outbound
This paper cites Contrastive unsupervised learning for speech emotion recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Contrastive unsupervised learning for speech emotion recognition[C]
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.694407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7ab4b816-627c-4f34-90c5-e42d2f9a46a0 · outbound
This paper cites MCM-CSD: Multi-Granularity Context Modeling with Contrastive Speaker Detection for Emotion Recognition in Real-Time Conversation[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning MCM-CSD: Multi-Granularity Context Modeling with Contrastive Speaker Detection for Emotion Recognition in Real-Time Conversation[C]
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.678448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6de5e7d8-b3f2-4ff0-9efc-ae630032846a · outbound
This paper cites Self-attention encoding and pooling for speaker recognition.
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Self-attention encoding and pooling for speaker recognition
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T13:35:28.594134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a12576f-c3c8-470d-a1ff-12533273f591 · outbound
This paper cites Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Dual-tbnet: Improving the robustness of speech features via dual-transformer-bilstm for speech emotion recognition[J]
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.662155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 137d70b1-5395-48d2-95ba-63954eca09a5 · outbound
This paper cites Temporal modeling matters: A novel temporal emotional modeling approach for speech emotion recognition[C].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning Temporal modeling matters: A novel temporal emotional modeling approach for speech emotion recognition[C]
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.645491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 00da6090-390c-4739-871c-fe190ed922e3 · outbound
This paper cites emodarts: Joint optimisation of cnn & sequential neural network architectures for superior speech emotion recognition[J].
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning emodarts: Joint optimisation of cnn & sequential neural network architectures for superior speech emotion recognition[J]
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:35:28.629417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.