WLASL-LEX2001
收藏arXiv2022-03-12 更新2024-08-06 收录
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http://arxiv.org/abs/2203.06096v1
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资源简介：
WLASL-LEX2001是一个大规模的美国手语（ASL）数据集，由曼彻斯特大学计算机科学系的研究团队创建。该数据集包含10017个视频，每个视频都标注了六种不同的语音学属性，旨在支持手语处理（SLP）中的语音属性识别任务。数据集的创建过程涉及自动化的视频标注和特征提取，利用了预训练的深度学习模型。该数据集的应用领域主要集中在手语识别和翻译，旨在解决手语自动处理中的语音学建模问题。
WLASL-LEX2001 is a large-scale American Sign Language (ASL) dataset created by a research team from the Department of Computer Science, The University of Manchester. This dataset contains 10,017 videos, each annotated with six distinct phonological attributes, and is intended to support phonological attribute recognition tasks in Sign Language Processing (SLP). The dataset's creation process involves automated video annotation and feature extraction, utilizing pretrained deep learning models. Its application fields mainly focus on sign language recognition and translation, aiming to solve the phonological modeling issues in automatic sign language processing.
提供机构：
曼彻斯特大学计算机科学系
创建时间：
2022-03-12
