most citedAV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

1 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2023★ 1 cited

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

Yuan Tseng, Layne Berry, Yi-Ting Chen +16

Audio-visual representation learning aims to develop systems with human-like perception by utilizing correlation between auditory and visual information. However, current models of…

eess.AS2023★ 1 cited

Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation

Richard Lee Lai, Jen-Cheng Hou, I-Chun Chern +6

Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. The aim of this study is to explore the effectivenes…

eess.AS2022★ 1 cited

Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings

I-Chun Chern, Kuo-Hsuan Hung, Yi-Ting Chen +5

AV-HuBERT, a multi-modal self-supervised learning model, has been shown to be effective for categorical problems such as automatic speech recognition and lip-reading. This suggests…