Cover Image

Mitigating Data Imbalance in Automated Speaking Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsai, Fong-Chun, Huang, Kuan-Tang, Yan, Bi-Cheng, Lo, Tien-Hong, Chen, Berlin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution
by: Lo, Tien-Hong, et al.
Published: (2024)

An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment
by: Lo, Tien-Hong, et al.
Published: (2025)

Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
by: Lu, Hao-Chien, et al.
Published: (2025)

A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions
by: Wang, Chung-Chun, et al.
Published: (2025)

HiPPO: Exploring A Novel Hierarchical Pronunciation Assessment Approach for Spoken Languages
by: Yan, Bi-Cheng, et al.
Published: (2025)

Contextual Biasing for Streaming ASR via CTC-based Word Spotting
by: Tsai, Kai-Chen, et al.
Published: (2026)

Zero-Shot Text-to-Speech as Golden Speech Generator: A Systematic Framework and its Applicability in Automatic Pronunciation Assessment
by: Lo, Tien-Hong, et al.
Published: (2024)

Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
by: Chao, Fu-An, et al.
Published: (2025)

Efficient Dialect-Aware Modeling and Conditioning for Low-Resource Taiwanese Hakka Speech Processing
by: Peng, An-Ci, et al.
Published: (2026)

MALEFA: Multi-grAnularity Learning and Effective False Alarm Suppression for Zero-shot Keyword Spotting
by: Li, Lo-Ya, et al.
Published: (2026)

The NTNU System at the S&I Challenge 2025 SLA Open Track
by: Lin, Hong-Yun, et al.
Published: (2025)

MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling
by: Yan, Bi-Cheng, et al.
Published: (2025)

Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss
by: Chao, Fu-An, et al.
Published: (2025)

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

Universal Robust Speech Adaptation for Cross-Domain Speech Recognition and Enhancement
by: Wang, Chien-Chun, et al.
Published: (2026)

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

Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection
by: Yang, Tzu-Ting, et al.
Published: (2024)

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

SpeakStream: Streaming Text-to-Speech with Interleaved Data
by: Bai, Richard He, et al.
Published: (2025)

Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models
by: Kuan, Chun-Yi, et al.
Published: (2024)

TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild
by: Chang, Kai-Wei, et al.
Published: (2026)

Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
by: Lin, Jhen-Ke, et al.
Published: (2025)

Optimizing Automatic Speech Assessment: W-RankSim Regularization and Hybrid Feature Fusion Strategies
by: Wu, Chung-Wen, et al.
Published: (2024)

Robust Generative Audio Quality Assessment: Disentangling Quality from Spurious Correlations
by: Huang, Kuan-Tang, et al.
Published: (2026)

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

From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data
by: Kuan, Chun-Yi, et al.
Published: (2025)

Building Tailored Speech Recognizers for Japanese Speaking Assessment
by: Kubo, Yotaro, et al.
Published: (2025)

ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization
by: Yan, Bi-Cheng, et al.
Published: (2024)

Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR and Speech-to-text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision
by: Yang, Chih-Kai, et al.
Published: (2023)

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

ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning
by: Ho, Kuan-Hsun, et al.
Published: (2024)

What do neural networks listen to? Exploring the crucial bands in Speech Enhancement using Sinc-convolution
by: Ho, Kuan-Hsun, et al.
Published: (2024)

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

An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition
by: Wang, Yi-Cheng, et al.
Published: (2024)

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

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

Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation
by: Wang, Chien-Chun, et al.
Published: (2024)

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
by: Kuan, Chun-Yi, et al.
Published: (2026)

SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style Captioning
by: Huang, Chien-yu, et al.
Published: (2024)

AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering
by: Kuan, Chun-Yi, et al.
Published: (2026)