MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Sungnyun, Jang, Kangwook, Bae, Sangmin, Cho, Sungwoo, Yun, Se-Young |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
by: Kim, Sungnyun, et al.
Published: (2025)
by: Kim, Sungnyun, et al.
Published: (2025)
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition
by: Kim, Sungnyun, et al.
Published: (2024)
by: Kim, Sungnyun, et al.
Published: (2024)
Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
by: Kim, Sungnyun, et al.
Published: (2025)
by: Kim, Sungnyun, et al.
Published: (2025)
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models
by: Jang, Kangwook, et al.
Published: (2023)
by: Jang, Kangwook, et al.
Published: (2023)
Scalable Frameworks for Real-World Audio-Visual Speech Recognition
by: Kim, Sungnyun
Published: (2025)
by: Kim, Sungnyun
Published: (2025)
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
by: Cho, Sungwoo, et al.
Published: (2025)
by: Cho, Sungwoo, et al.
Published: (2025)
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
by: Bae, Sangmin, et al.
Published: (2023)
by: Bae, Sangmin, et al.
Published: (2023)
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
by: Cappellazzo, Umberto, et al.
Published: (2025)
by: Cappellazzo, Umberto, et al.
Published: (2025)
HuBERT-VIC: Improving Noise-Robust Automatic Speech Recognition of Speech Foundation Model via Variance-Invariance-Covariance Regularization
by: Ahn, Hyebin, et al.
Published: (2025)
by: Ahn, Hyebin, et al.
Published: (2025)
Cross-Modal Bottleneck Fusion For Noise Robust Audio-Visual Speech Recognition
by: Ok, Seaone, et al.
Published: (2026)
by: Ok, Seaone, et al.
Published: (2026)
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
by: Kim, Hyun Myung, et al.
Published: (2024)
by: Kim, Hyun Myung, et al.
Published: (2024)
UME: Upcycling Mixture-of-Experts for Scalable and Efficient Automatic Speech Recognition
by: Fu, Li, et al.
Published: (2024)
by: Fu, Li, et al.
Published: (2024)
Adaptive Mixture of Low-Rank Experts for Robust Audio Spoofing Detection
by: Chen, Qixian, et al.
Published: (2025)
by: Chen, Qixian, et al.
Published: (2025)
Interpreting the Role of Visemes in Audio-Visual Speech Recognition
by: Papadopoulos, Aristeidis, et al.
Published: (2025)
by: Papadopoulos, Aristeidis, et al.
Published: (2025)
MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition
by: Deng, Chengxi, et al.
Published: (2025)
by: Deng, Chengxi, et al.
Published: (2025)
MamTra: A Hybrid Mamba-Transformer Backbone for Speech Synthesis
by: Nguyen, Tan Dat, et al.
Published: (2026)
by: Nguyen, Tan Dat, et al.
Published: (2026)
Uncovering the Visual Contribution in Audio-Visual Speech Recognition
by: Lin, Zhaofeng, et al.
Published: (2024)
by: Lin, Zhaofeng, et al.
Published: (2024)
Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech
by: Kim, Semin, et al.
Published: (2026)
by: Kim, Semin, et al.
Published: (2026)
HiKE: Hierarchical Evaluation Framework for Korean-English Code-Switching Speech Recognition
by: Paik, Gio, et al.
Published: (2025)
by: Paik, Gio, et al.
Published: (2025)
FNH-TTS: Mixture-of-Experts Duration Modeling for Robust Neural Speech Synthesis
by: Meng, Qingliang, et al.
Published: (2025)
by: Meng, Qingliang, et al.
Published: (2025)
Generalizable Prompt Tuning for Audio-Language Models via Semantic Expansion
by: Jang, Jaehyuk, et al.
Published: (2026)
by: Jang, Jaehyuk, et al.
Published: (2026)
Human-Inspired Computing for Robust and Efficient Audio-Visual Speech Recognition
by: Liu, Qianhui, et al.
Published: (2024)
by: Liu, Qianhui, et al.
Published: (2024)
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
by: Kim, Jongsuk, et al.
Published: (2025)
by: Kim, Jongsuk, et al.
Published: (2025)
Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition
by: Tzeng, Jing-Tong, et al.
Published: (2025)
by: Tzeng, Jing-Tong, et al.
Published: (2025)
Audio-Visual Feature Synchronization for Robust Speech Enhancement in Hearing Aids
by: Saleem, Nasir, et al.
Published: (2025)
by: Saleem, Nasir, et al.
Published: (2025)
CAMEL: Cross-Attention Enhanced Mixture-of-Experts and Language Bias for Code-Switching Speech Recognition
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
Audio-Visual Speech Enhancement for Spatial Audio - Spatial-VisualVoice and the MAVE Database
by: Yaffe, Danielle, et al.
Published: (2025)
by: Yaffe, Danielle, et al.
Published: (2025)
Robust LLM-based Audio-Visual Speech Recognition with Sparse Modality Alignment and Visual Unit-Guided Refinement
by: Su, Fei, et al.
Published: (2026)
by: Su, Fei, et al.
Published: (2026)
AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation
by: Choi, Jeongsoo, et al.
Published: (2023)
by: Choi, Jeongsoo, et al.
Published: (2023)
Trade-offs Between Capacity and Robustness in Neural Audio Codecs for Adversarially Robust Speech Recognition
by: Prescott, Jordan, et al.
Published: (2026)
by: Prescott, Jordan, et al.
Published: (2026)
Latent Filling: Latent Space Data Augmentation for Zero-shot Speech Synthesis
by: Bae, Jae-Sung, et al.
Published: (2023)
by: Bae, Jae-Sung, et al.
Published: (2023)
Mixture to Beamformed Mixture: Leveraging Beamformed Mixture as Weak-Supervision for Speech Enhancement and Noise-Robust ASR
by: Wang, Zhong-Qiu, et al.
Published: (2025)
by: Wang, Zhong-Qiu, et al.
Published: (2025)
LCB-net: Long-Context Biasing for Audio-Visual Speech Recognition
by: Yu, Fan, et al.
Published: (2024)
by: Yu, Fan, et al.
Published: (2024)
Robust Audiovisual Speech Recognition Models with Mixture-of-Experts
by: Wu, Yihan, et al.
Published: (2024)
by: Wu, Yihan, et al.
Published: (2024)
DCIM-AVSR : Efficient Audio-Visual Speech Recognition via Dual Conformer Interaction Module
by: Wang, Xinyu, et al.
Published: (2024)
by: Wang, Xinyu, et al.
Published: (2024)
A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition
by: Li, Yangze, et al.
Published: (2024)
by: Li, Yangze, et al.
Published: (2024)
Mixture of LoRA Experts with Multi-Modal and Multi-Granularity LLM Generative Error Correction for Accented Speech Recognition
by: Mu, Bingshen, et al.
Published: (2025)
by: Mu, Bingshen, et al.
Published: (2025)
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
by: Park, ChaeHun, et al.
Published: (2024)
by: Park, ChaeHun, et al.
Published: (2024)
Naturalness-Aware Curriculum Learning with Dynamic Temperature for Speech Deepfake Detection
by: Kim, Taewoo, et al.
Published: (2025)
by: Kim, Taewoo, et al.
Published: (2025)
Robust Audio-Visual Speech Enhancement: Correcting Misassignments in Complex Environments with Advanced Post-Processing
by: Ren, Wenze, et al.
Published: (2024)
by: Ren, Wenze, et al.
Published: (2024)
Similar Items
-
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
by: Kim, Sungnyun, et al.
Published: (2025) -
Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition
by: Kim, Sungnyun, et al.
Published: (2024) -
Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses
by: Kim, Sungnyun, et al.
Published: (2025) -
STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models
by: Jang, Kangwook, et al.
Published: (2023) -
Scalable Frameworks for Real-World Audio-Visual Speech Recognition
by: Kim, Sungnyun
Published: (2025)