ASRU 2025 — accepted papers
ASRU 2025 is the 2025 edition of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). OpenAlex lists 214 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound ↗Andros Tjandra, Yi-Chiao Wu, Baishan Guo et al.24 citations
- ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching ↗Han Zhu, Wei Kang, Zengwei Yao et al.9 citations
- Full-Duplex-Bench: A Benchmark to Evaluate Full-Duplex Spoken Dialogue Models on Turn-taking Capabilities ↗Guan-Ting Lin, Jiachen Lian, Tingle Li et al.8 citations
- Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities ↗George Saon, Avihu Dekel, Alexander Brooks et al.7 citations
- Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention’s Alternative ↗Xi Xuan, Zimo Zhu, Wenxin Zhang et al.5 citations
- Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion ↗DongHoon Lim, Youngchae Kim, Dong-Hyun Kim et al.4 citations
- Less is More: Data Curation Matters in Scaling Speech Enhancement ↗Chenda Li, Wangyou Zhang, Wei Wang et al.4 citations
- Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? ↗Andrew Rouditchenko, Saurabhchand Bhati, Edson Roteia Araujo Junior et al.4 citations
- The AudioMOS Challenge 2025 ↗Wen-Chin Huang, Hui Wang, Cheng Liu et al.4 citations
- Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model ↗Ziyang Ma, Zhuo Chen, Yuping Wang et al.3 citations
All accepted papers (214)
- Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound ↗Andros Tjandra, Yi-Chiao Wu, Baishan Guo et al.24 citations
- ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching ↗Han Zhu, Wei Kang, Zengwei Yao et al.9 citations
- Full-Duplex-Bench: A Benchmark to Evaluate Full-Duplex Spoken Dialogue Models on Turn-taking Capabilities ↗Guan-Ting Lin, Jiachen Lian, Tingle Li et al.8 citations
- Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities ↗George Saon, Avihu Dekel, Alexander Brooks et al.7 citations
- Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention’s Alternative ↗Xi Xuan, Zimo Zhu, Wenxin Zhang et al.5 citations
- Improving Noise Robust Audio-Visual Speech Recognition via Router-Gated Cross-Modal Feature Fusion ↗DongHoon Lim, Youngchae Kim, Dong-Hyun Kim et al.4 citations
- Less is More: Data Curation Matters in Scaling Speech Enhancement ↗Chenda Li, Wangyou Zhang, Wei Wang et al.4 citations
- Omni-R1: Do You Really Need Audio to Fine-Tune Your Audio LLM? ↗Andrew Rouditchenko, Saurabhchand Bhati, Edson Roteia Araujo Junior et al.4 citations
- The AudioMOS Challenge 2025 ↗Wen-Chin Huang, Hui Wang, Cheng Liu et al.4 citations
- Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model ↗Ziyang Ma, Zhuo Chen, Yuping Wang et al.3 citations
- DiffRhythm+: Controllable and Flexible Full-Length Song Generation with Preference Optimization ↗Huakang Chen, Yuepeng Jiang, Guobin Ma et al.3 citations
- EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition ↗Yi-Cheng Lin, Huang-Cheng Chou, Yu-Hsuan Li Liang et al.3 citations
- Efficient Scaling for LLM-based ASR ↗Bingshen Mu, Yiwen Shao, Kun Wei et al.3 citations
- Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning ↗Y. Y. Fang, Jing Peng, Xu Li et al.3 citations
- Multilingual Dataset Integration Strategies for Robust Audio Deepfake Detection: A SAFE Challenge System ↗Hashim Ali, Surya Subramani, Nithin Sai Adupa et al.3 citations
- SV-Mixer: Replacing the Transformer Encoder with Lightweight MLPs for Self-Supervised Model Compresison in Speaker Verification ↗Jungwoo Heo, Hyun-Seo Shin, Chan-Yeong Lim et al.3 citations
- Training and Inference Efficiency of Encoder-Decoder Speech Models ↗Piotr Żelasko, Kunal Dhawan, Daniel Galvez et al.3 citations
- Acoustic Phonetic Temporal Speech Representation ↗Yunbin Deng2 citations
- AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models ↗Chih-Kai Yang, Neo Ho, Y. Lee et al.2 citations
- Customizing Speech Recognition Model with Large Language Model Feedback ↗Shaoshi Ling, Guoli Ye2 citations
- Enhancing Code-switched Text-to-Speech Synthesis Capability in Large Language Models with only Monolingual Corpora ↗Jiayi Xu, Daxin Tan, Jiaqi Wang et al.2 citations
- GenVC: Self-Supervised Zero-Shot Voice Conversion ↗Zexin Cai, Henry Li Xinyuan, Ashi Garg et al.2 citations
- Geolocation-Aware Robust Spoken Language Identification ↗Q Wang, Hye-jin Shim, Jiancheng Sun et al.2 citations
- Improving Speech Enhancement with Multi-Metric Supervision from Learned Quality Assessment ↗Wei Wang, Wangyou Zhang, Chenda Li et al.2 citations
- Interpreting the Role of Visemes in Audio-Visual Speech Recognition ↗Aristeidis Papadopoulos, Naomi Harte2 citations
See all 214 papers in ASRU 2025 — accepted papers →
Papers with our summary in our library (1)
- EmoTale: An Enacted Speech-emotion Dataset in DanishIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Maja J. Hjuler, Harald V. Skat-R\ordam, Line H. Clemmensen, et al.2025
Top topics
Sentiment & emotion (1)Speech & spoken language (1)
Fields
Arts and Humanities (1)Computer Science (1)Psychology (1)
Top institutions
🎓Institut polytechnique de GrenobleGrenoble ·
France1 work here🔬Centre National de la Recherche ScientifiqueParis ·
France1 work here🔬Laboratoire d'Informatique de GrenobleGrenoble ·
France1 work here🎓Université Grenoble AlpesSaint-Martin-d'Hères ·
France1 work here🎓Technical University of DenmarkKongens Lyngby ·
Denmark1 work here
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