OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset

Understand

Inspired by humans comprehending speech in a multi-modal manner, various audio-visual datasets have been constructed.

• However, most existing datasets focus on English, induce dependencies with various prediction models during dataset preparation, and have only a small number of multi-view videos.
• To mitigate the limitations, we recently developed the Open Large-scale Korean Audio-Visual Speech (OLKAVS) dataset, which is the largest among publicly available audio-visual speech datasets.
• The dataset contains 1,150 hours of transcribed audio from 1,107 Korean speakers in a studio setup with nine different viewpoints and various noise situations.