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IEMOCAP

아카이브 평가 59건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
DialogueCRN+RoBERTa	Weighted-F1 67.53 Accuracy 67.39	DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations 2021-06-03	코드 1 · 코드 2
CESTa	Weighted-F1 67.1	Contextualized Emotion Recognition in Conversation as Sequence Tagging 2020-07-01	연결 없음
KI-Net	Weighted-F1 67.00 Micro-F1 64.10	Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations 논문 날짜 미기재	연결 없음
SKAIG-ERC	Weighted-F1 66.98	Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge 논문 날짜 미기재	코드 1
SumAggGIN	Weighted-F1 66.96	Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition 2020-12-01	연결 없음
CoMPM	Weighted-F1 66.61 Accuracy 66.76	CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation 2021-08-26	코드 1
DialogueCRN	Weighted-F1 66.33 Accuracy 66.05	DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations 2021-06-03	코드 1 · 코드 2
DialogXL	Weighted-F1 66.2 Accuracy 66.3	DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition 2020-12-16	코드 1 · 코드 2 · 코드 3 · 코드 4
M2FNet-Text	Weighted-F1 66.2 Accuracy 66.05 Macro-F1 66.38	M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation 2022-06-05	연결 없음
TRMSM-Att	Weighted-F1 65.94	A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation 2020-12-29	코드 1
COIN (w/o pretraining)	Weighted-F1 65.74	COIN: Conversational Interactive Networks for Emotion Recognition in Conversation 논문 날짜 미기재	연결 없음
Pretrained Hierarchical Transformer	Weighted-F1 65.37 Accuracy 66.05	Hierarchical Pre-training for Sequence Labelling in Spoken Dialog 2020-09-23	연결 없음
COSMIC	Weighted-F1 65.30	COSMIC: COmmonSense knowledge for eMotion Identification in Conversations 2020-10-06	코드 1
RGAT-ERC	Weighted-F1 65.28	Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations 논문 날짜 미기재	코드 1
BiERU-lc	Weighted-F1 65.22	BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis 2020-05-31	코드 1
HiTrans	Weighted-F1 64.65 Accuracy 66.11	HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations 2020-12-01	연결 없음
Iterative	Weighted-F1 64.5	An Iterative Emotion Interaction Network for Emotion Recognition in Conversations 2020-12-01	연결 없음
DialogueGCN	Weighted-F1 64.37	DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation 2019-08-30	코드 1 · 코드 2
ERMC-DisGCN	Weighted-F1 64.18 Accuracy 65.25 Macro-F1 63.43	A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation 논문 날짜 미기재	연결 없음
BiF-AGRU	Weighted-F1 64.10	Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network 2019-11-20	코드 1
DialogueRNN	Weighted-F1 63.5 Accuracy 63.5	DialogueRNN: An Attentive RNN for Emotion Detection in Conversations 2018-11-01	코드 1 · 코드 2
Attention-BLSTM	Weighted-F1 62.9 Accuracy 65.9	Integrating Recurrence Dynamics for Speech Emotion Recognition 2018-11-09	코드 1
TODKAT	Weighted-F1 62.75 Accuracy 63.4 Macro-F1 60.66	Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection 2021-06-02	연결 없음
KET	Weighted-F1 61.33 Micro-F1 61.11	Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations 2019-09-24	코드 1
VHRED	Weighted-F1 59.56	Conversational Transfer Learning for Emotion Recognition 2019-10-11	코드 1
ICON	Weighted-F1 58.6	ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection 2018-10-01	코드 1
bc-LSTM+Att	Weighted-F1 58.54 Accuracy 59.09 Macro-F1 56.52	Context-Dependent Sentiment Analysis in User-Generated Videos 2017-07-01	코드 1 · 코드 2
CMN	Weighted-F1 56.19 Accuracy 56.32 Macro-F1 54.84	Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos 2018-06-01	코드 1
SPECTRA	Accuracy 67.94	Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment 2023-05-19	코드 1