Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Lin, Yi-Cheng, Chen, Wei-Chih, Lee, Hung-yi
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Audio and Speech Processing
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
von: Lin, Yi-Cheng, et al.
Veröffentlicht: (2024)

VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
von: Lin, Yi-Cheng, et al.
Veröffentlicht: (2026)

Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
von: Lin, Guan-Ting, et al.
Veröffentlicht: (2024)

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
von: Tseng, Liang-Hsuan, et al.
Veröffentlicht: (2025)

SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models
von: Huang, Hsiao-Ying, et al.
Veröffentlicht: (2026)

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
von: Huang, Kuan-Po, et al.
Veröffentlicht: (2023)

Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models
von: Lu, Ke-Han, et al.
Veröffentlicht: (2025)

On the Evaluation of Speech Foundation Models for Spoken Language Understanding
von: Arora, Siddhant, et al.
Veröffentlicht: (2024)

Gender Bias in Instruction-Guided Speech Synthesis Models
von: Kuan, Chun-Yi, et al.
Veröffentlicht: (2025)

Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation
von: Kuan, Chun-Yi, et al.
Veröffentlicht: (2024)

Game-Time: Evaluating Temporal Dynamics in Spoken Language Models
von: Chang, Kai-Wei, et al.
Veröffentlicht: (2025)

Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue
von: Lin, Guan-Ting, et al.
Veröffentlicht: (2023)

Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
von: Yang, Chih-Kai, et al.
Veröffentlicht: (2025)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
von: Lin, Hsi-Che, et al.
Veröffentlicht: (2024)

Identifying Speaker Information in Feed-Forward Layers of Self-Supervised Speech Transformers
von: Lin, Tzu-Quan, et al.
Veröffentlicht: (2025)

TiCo: Time-Controllable Spoken Dialogue Model
von: Chang, Kai-Wei, et al.
Veröffentlicht: (2026)

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
von: Chiang, Cheng-Han, et al.
Veröffentlicht: (2025)

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information
von: Yang, Chih-Kai, et al.
Veröffentlicht: (2025)

How Contrastive Decoding Enhances Large Audio Language Models?
von: Lin, Tzu-Quan, et al.
Veröffentlicht: (2026)

Emo-bias: A Large Scale Evaluation of Social Bias on Speech Emotion Recognition
von: Lin, Yi-Cheng, et al.
Veröffentlicht: (2024)

Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model
von: Fu, Yu-Kuan, et al.
Veröffentlicht: (2024)

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
von: Huang, Hsiao-Ying, et al.
Veröffentlicht: (2025)

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
von: Chiang, Cheng-Han, et al.
Veröffentlicht: (2025)

Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback
von: Lin, Guan-Ting, et al.
Veröffentlicht: (2024)

Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach
von: Lin, Yi-Cheng, et al.
Veröffentlicht: (2025)

CO-VADA: A Confidence-Oriented Voice Augmentation Debiasing Approach for Fair Speech Emotion Recognition
von: Tsai, Yun-Shao, et al.
Veröffentlicht: (2025)

Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
von: Kuan, Chun-Yi, et al.
Veröffentlicht: (2024)

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
von: Kuan, Chun-Yi, et al.
Veröffentlicht: (2025)

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
von: Hsu, Ming-Hao, et al.
Veröffentlicht: (2024)

Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
von: Lin, Guan-Ting, et al.
Veröffentlicht: (2025)

EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
von: Lin, Yi-Cheng, et al.
Veröffentlicht: (2025)

Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue
von: Wu, Junkai, et al.
Veröffentlicht: (2024)

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation
von: Tsai, Yun-Shao, et al.
Veröffentlicht: (2026)

Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
von: Yang, Chih-Kai, et al.
Veröffentlicht: (2024)

SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering
von: Lin, Chyi-Jiunn, et al.
Veröffentlicht: (2024)

Scaling Spoken Language Models with Syllabic Speech Tokenization
von: Lee, Nicholas, et al.
Veröffentlicht: (2025)

DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment
von: Lu, Ke-Han, et al.
Veröffentlicht: (2024)

Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks
von: Everson, Kevin, et al.
Veröffentlicht: (2024)

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning
von: Shen, Liang-Yeh, et al.
Veröffentlicht: (2025)

Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
von: Hsu, Tzu-wen, et al.
Veröffentlicht: (2025)