Image de couverture de livre

Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Yi-Cheng, Wu, Haibin, Chou, Huang-Cheng, Lee, Chi-Chun, Lee, Hung-yi
Format:	Preprint
Publié:	2024
Sujets:	Audio and Speech Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance
par: Chou, Huang-Cheng, et autres
Publié: (2024)

Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions
par: Chou, Huang-Cheng, et autres
Publié: (2025)

Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
par: Lin, Yi-Cheng, et autres
Publié: (2025)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
par: Lin, Hsi-Che, et autres
Publié: (2024)

EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations
par: Ren, Wenze, et autres
Publié: (2024)

Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models
par: Lin, Yi-Cheng, et autres
Publié: (2024)

CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition
par: Tsai, Yun-Shao, et autres
Publié: (2025)

EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
par: Wu, Haibin, et autres
Publié: (2024)

EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
par: Lin, Yi-Cheng, et autres
Publié: (2025)

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning
par: Shen, Liang-Yeh, et autres
Publié: (2025)

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI
par: Lin, Yi-Cheng, et autres
Publié: (2026)

VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
par: Lin, Yi-Cheng, et autres
Publié: (2026)

AdaLTM: Adaptive Layer-wise Task Vector Merging for Categorical Speech Emotion Recognition with ASR Knowledge Integration
par: Lee, Chia-Yu, et autres
Publié: (2026)

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation
par: Tsai, Yun-Shao, et autres
Publié: (2026)

Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems
par: Lin, Yi-Cheng, et autres
Publié: (2025)

Gender Bias in Instruction-Guided Speech Synthesis Models
par: Kuan, Chun-Yi, et autres
Publié: (2025)

VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
par: Zhang, Hezhao, et autres
Publié: (2026)

CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems
par: Wu, Haibin, et autres
Publié: (2024)

Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
par: Lin, Guan-Ting, et autres
Publié: (2024)

MOS-Bias: From Hidden Gender Bias to Gender-Aware Speech Quality Assessment
par: Ren, Wenze, et autres
Publié: (2026)

Lessons Learnt: Revisit Key Training Strategies for Effective Speech Emotion Recognition in the Wild
par: Tzeng, Jing-Tong, et autres
Publié: (2025)

ASR for Affective Speech: Investigating Impact of Emotion and Speech Generative Strategy
par: Wu, Ya-Tse, et autres
Publié: (2026)

Multi-Distillation from Speech and Music Representation Models
par: Wei, Jui-Chiang, et autres
Publié: (2025)

Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
par: Lu, Ke-Han, et autres
Publié: (2025)

Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget
par: Liu, Andy T., et autres
Publié: (2024)

On the social bias of speech self-supervised models
par: Lin, Yi-Cheng, et autres
Publié: (2024)

Dataset-Distillation Generative Model for Speech Emotion Recognition
par: Ritter-Gutierrez, Fabian, et autres
Publié: (2024)

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
par: Huang, Hsiao-Ying, et autres
Publié: (2025)

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
par: Hsu, Ming-Hao, et autres
Publié: (2024)

EmoQ: Speech Emotion Recognition via Speech-Aware Q-Former and Large Language Model
par: Yang, Yiqing, et autres
Publié: (2025)

Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
par: Lin, Yi-Cheng, et autres
Publié: (2024)

Unifying Listener Scoring Scales: Comparison Learning Framework for Speech Quality Assessment and Continuous Speech Emotion Recognition
par: Hu, Cheng-Hung, et autres
Publié: (2025)

A Large-Scale Evaluation of Speech Foundation Models
par: Yang, Shu-wen, et autres
Publié: (2024)

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers
par: Lin, Tzu-Quan, et autres
Publié: (2025)

Reasoning Beyond Majority Vote: An Explainable SpeechLM Framework for Speech Emotion Recognition
par: Su, Bo-Hao, et autres
Publié: (2025)

Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
par: Kuan, Chun-Yi, et autres
Publié: (2024)

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
par: Kuan, Chun-Yi, et autres
Publié: (2025)

HighRateMOS: Sampling-Rate Aware Modeling for Speech Quality Assessment
par: Ren, Wenze, et autres
Publié: (2025)

CodecFake+: A Large-Scale Neural Audio Codec-Based Deepfake Speech Dataset
par: Chen, Xuanjun, et autres
Publié: (2025)

Fusion of Discrete Representations and Self-Augmented Representations for Multilingual Automatic Speech Recognition
par: Wang, Shih-heng, et autres
Publié: (2024)