1 citations · 3 across the 5 of their papers we have counts for
5 papers
HRDoc: Dataset and Baseline Method Toward Hierarchical Reconstruction of Document Structures
Jiefeng Ma, Jun Du, Pengfei Hu +4
The problem of document structure reconstruction refers to converting digital or scanned documents into corresponding semantic structures. Most existing works mainly focus on split…
The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition
Zhe Wang, Shilong Wu, Hang Chen +12
The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research…
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Pengcheng Li, Genshun Wan, Fenglin Ding +4
Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data. Based on a well-designed self-supervised learning…
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Genshun Wan, Tan Liu, Hang Chen +3
Self-supervised learning (SSL) models have achieved considerable improvements in automatic speech recognition (ASR). In addition, ASR performance could be further improved if the m…
Self-Supervised Audio-Visual Speech Representations Learning By Multimodal Self-Distillation
Jing-Xuan Zhang, Genshun Wan, Zhen-Hua Ling +3
In this work, we present a novel method, named AV2vec, for learning audio-visual speech representations by multimodal self-distillation. AV2vec has a student and a teacher module,…