NNIME: The NTHU-NTUA Chinese interactive multimodal emotion corpus. - Huang-Cheng Chou; Wei-Cheng Lin; Lien-Chiang Chang; Chyi-Chang Li; Hsi-Pin Ma; Chi-Chun Lee (ACII, 2017)

Amplifying a Sense of Emotion toward Drama-Long Short-Term Memory Recurrent Neural Network for dynamic emotion recognition. - Huang-Cheng Chou; Chun-Min Chang; Yu-Shuo Liu; Shiuan-Kai Kao; Chi-Chun Lee (ROCLING, 2017)

Joint Learning of Conversational Temporal Dynamics and Acoustic Features for Speech Deception Detection in Dialog Games. - Huang-Cheng Chou; Yi-Wen Liu; Chi-Chun Lee (APSIPA, 2019)

Every Rating Matters: Joint Learning of Subjective Labels and Individual Annotators for Speech Emotion Classification. - Huang-Cheng Chou; Chi-Chun Lee (ICASSP, 2019)

Acoustic Indicators of Deception in Mandarin Daily Conversations Recorded from an Interactive Game. - Chih-Hsiang Huang; Huang-Cheng Chou; Yi-Tong Wu; Chi-Chun Lee; Yi-Wen Liu (INTERSPEECH, 2019)

"Your Behavior Makes Me Think It Is a Lie": Recognizing Perceived Deception using Multimodal Data in Dialog Games. - Huang-Cheng Chou; Chi-Chun Lee (APSIPA, 2020)

Learning to Recognize Per-Rater's Emotion Perception Using Co-Rater Training Strategy with Soft and Hard Labels. - Huang-Cheng Chou; Chi-Chun Lee (INTERSPEECH, 2020)

"Does it Matter When I Think You Are Lying?" Improving Deception Detection by Integrating Interlocutor's Judgements in Conversations. - Huang-Cheng Chou; Woan-Shiuan Chien; Da-Cheng Juan; Chi-Chun Lee (ACL/IJCNLP (Findings), 2021)

Belongingness and Satisfaction Recognition from Physiological Synchrony with A Group-Modulated Attentive BLSTM under Small-group Conversation. - Woan-Shiuan Chien; Huang-Cheng Chou; Chi-Chun Lee (ICMI Companion, 2021)

Self-assessed Emotion Classification from Acoustic and Physiological Features within Small-group Conversation. - Woan-Shiuan Chien; Huang-Cheng Chou; Chi-Chun Lee (ICMI Companion, 2021)

Do Minority Views in Perceptual Evaluations Affect Confidence of Speech Emotion Classifiers? - Huang-Cheng Chou (ACIIW, 2022)

Exploiting Annotators' Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition. - Huang-Cheng Chou; Wei-Cheng Lin; Chi-Chun Lee; Carlos Busso (ICASSP, 2022)

Exploiting Co-occurrence Frequency of Emotions in Perceptual Evaluations To Train A Speech Emotion Classifier. - Huang-Cheng Chou; Chi-Chun Lee; Carlos Busso (INTERSPEECH, 2022)

The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers. - Huang-Cheng Chou; Lucas Goncalves; Seong-Gyun Leem; Chi-Chun Lee; Carlos Busso (INTERSPEECH, 2023)

A Tiny Whisper-SER: Unifying Automatic Speech Recognition and Multi-label Speech Emotion Recognition Tasks. - Huang-Cheng Chou (APSIPA, 2024)

EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models with Subjective and Objective Evaluations. - Wenze Ren; Yi-Cheng Lin; Huang-Cheng Chou; Haibin Wu; Yi-Chiao Wu; Chi-Chun Lee; Hung-Yi Lee; Hsin-Min Wang; Yu Tsao 001 (APSIPA, 2024)

Empower Typed Descriptions by Large Language Models for Speech Emotion Recognition. - Haibin Wu; Huang-Cheng Chou; Kai-Wei Chang; Lucas Goncalves; Jiawei Du; Jyh-Shing Roger Jang; Chi-Chun Lee; Hung-Yi Lee (APSIPA, 2024)

Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition. - Yi-Cheng Lin; Haibin Wu; Huang-Cheng Chou; Chi-Chun Lee; Hung-yi Lee (INTERSPEECH, 2024)

Embracing Ambiguity And Subjectivity Using The All-Inclusive Aggregation Rule For Evaluating Multi-Label Speech Emotion Recognition Systems. - Huang-Cheng Chou; Haibin Wu; Lucas Goncalves; Seong-Gyun Leem; Ali Salman; Carlos Busso; Hung-Yi Lee; Chi-Chun Lee (SLT, 2024)

Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems. - Haibin Wu; Huang-Cheng Chou; Kai-Wei Chang; Lucas Goncalves; Jiawei Du; Jyh-Shing Roger Jang; Chi-Chun Lee; Hung-Yi Lee (SLT, 2024)

EMO-SUPERB: An In-depth Look at Speech Emotion Recognition. - Haibin Wu; Huang-Cheng Chou; Kai-Wei Chang; Lucas Goncalves; Jiawei Du; Jyh-Shing Roger Jang; Chi-Chun Lee; Hung-Yi Lee (CoRR, 2024)

EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations. - Wenze Ren; Yi-Cheng Lin; Huang-Cheng Chou; Haibin Wu; Yi-Chiao Wu; Chi-Chun Lee; Hung-yi Lee; Yu Tsao 001 (CoRR, 2024)

Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance. - Huang-Cheng Chou; Haibin Wu; Chi-Chun Lee (ICASSP, 2025)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection. - Hsi-Che Lin; Yi-Cheng Lin; Huang-Cheng Chou; Hung-yi Lee (ICASSP, 2025)

Minority Views Matter: Evaluating Speech Emotion Classifiers With Human Subjective Annotations by an All-Inclusive Aggregation Rule. - Huang-Cheng Chou; Lucas Goncalves; Seong-Gyun Leem; Ali N. Salman; Chi-Chun Lee; Carlos Busso (IEEE Trans. Affect. Comput., 2025)

Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach. - Yi-Cheng Lin; Huang-Cheng Chou; Hung-yi Lee (CoRR, 2025)

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning. - Liang-Yeh Shen; Shi-Xin Fang; Yi-Cheng Lin; Huang-Cheng Chou; Hung-yi Lee (CoRR, 2025)

EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition. - Yi-Cheng Lin; Huang-Cheng Chou; Yu-Hsuan Li Liang; Hung-yi Lee (CoRR, 2025)

CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition. - Yun-Shao Tsai; Yi-Cheng Lin; Huang-Cheng Chou; Hung-yi Lee (CoRR, 2025)

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. - Ke-Han Lu; Zhehuai Chen; Szu-Wei Fu; Chao-Han Huck Yang; Sung-Feng Huang; Chih-Kai Yang; Chee-En Yu; Chun-Wei Chen; Wei-Chih Chen; Chien-yu Huang; Yi-Cheng Lin; Yu-Xiang Lin; et al. (CoRR, 2025)