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Papers
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
ICML 2025
Pisets: A Robust Speech Recognition System for Lectures and Interviews
NAACL 2025
Thinking Fast and Slow: Robust Speech Recognition via Deep Filter-Tuning
Interspeech 2025
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training
Interspeech 2023
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition
Interspeech 2023
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation
Interspeech 2022
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training
Interspeech 2022
pMCT: Patched Multi-Condition Training for Robust Speech Recognition
Interspeech 2022
Deep Scattering Power Spectrum Features for Robust Speech Recognition
Interspeech 2020
Phase Based Spectro-Temporal Features for Building a Robust ASR System
Interspeech 2020
Cumulative Adaptation for BLSTM Acoustic Models
Interspeech 2019
Multi-Task Multi-Network Joint-Learning of Deep Residual Networks and Cycle-Consistency Generative Adversarial Networks for Robust Speech Recognition
Interspeech 2019
NIESR: Nuisance Invariant End-to-End Speech Recognition
Interspeech 2019
Robust Keyword Spotting via Recycle-Pooling for Mobile Game
Interspeech 2019
Investigating Generative Adversarial Networks Based Speech Dereverberation for Robust Speech Recognition
Interspeech 2018
Robust Speech Recognition via Anchor Word Representations
Interspeech 2017
Coping with Unseen Data Conditions: Investigating Neural Net Architectures, Robust Features, and Information Fusion for Robust Speech Recognition
Interspeech 2016
Fusion Strategies for Robust Speech Recognition and Keyword Spotting for Channel- and Noise-Degraded Speech
Interspeech 2016
Pitch-Adaptive Front-End Features for Robust Children’s ASR
Interspeech 2016
Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition
Interspeech 2016
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features
Interspeech 2016