Evala's past sound artworks dataset

数据集包含超过200小时的声音艺术家Evala过去的作品，旨在通过训练AI模型来保存艺术家的风格，并产生新的声音元素，从而探索一种“新型档案馆”的概念。这个数据集是通过艺术家本人的声音作品创建的，反映了其独特的声音特征和艺术风格。数据集的创建是为了解决声音艺术作品难以存档的问题，并探索通过AI技术扩展艺术家作品的创作和存档可能性。

This dataset contains over 200 hours of past works by sound artist Evala. It is designed to train AI models to preserve the artist's unique artistic style and generate new sound elements, thereby exploring the concept of a "new type of archive". This dataset is compiled from the artist's own sound creations, reflecting her distinct acoustic characteristics and artistic style. The dataset was developed to address the challenge of archiving sound artworks, and to explore the possibilities of using AI technology to expand the creative and archival potential of the artist's works.