Yuchen Hu

Code for paper "Unsupervised Noise adaptation using Data Simulation"

Code for paper "Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models"

Code for paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition"

Code for paper "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators"

Code for paper "Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition"

Code for paper "Noise-aware Speech Enhancement using Diffusion Probabilistic Model"

Code for paper "Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition"

Code for paper "Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition"

Code for paper "Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation"

This is a public repository for RATS Channel-A Speech Data, which is a chargeable noisy speech dataset under LDC. Here we release its Log-Mel Fbank features and several raw wavform listening samples.

AcadHomepage: A Modern and Responsive Academic Personal Homepage

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Code for paper "MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition"

Code for paper "Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition"

Single-blind supplementary materials for NeurIPS 2023 submission

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