1 citations · 2 across the 4 of their papers we have counts for
4 papers
Less Peaky and More Accurate CTC Forced Alignment by Label Priors
Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni +9
Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can c…
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation
Ruizhe Huang, Mahsa Yarmohammadi, Sanjeev Khudanpur +1
Existing research suggests that automatic speech recognition (ASR) models can benefit from additional contexts (e.g., contact lists, user specified vocabulary). Rare words and name…
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch
Jeff Hwang, Moto Hira, Caroline Chen +21
TorchAudio is an open-source audio and speech processing library built for PyTorch. It aims to accelerate the research and development of audio and speech technologies by providing…
Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation
Peng Jiang, Ruizhe Huang, Ding Li +5
System auditing is a crucial technique for detecting APT attacks. However, attackers may try to compromise the system auditing frameworks to conceal their malicious activities. In…