About the project

With the acceleration of digital transformation, it is necessary to build up the Artificial Intelligence (AI) industry foundation to fortify the competitiveness of Korean companies and institutions. Artificial Intelligence (AI) performance is intrinsically related to training data and learning.

 

Consequently, securing high-quality and meaningful amounts of data is a priority to meet the needs of data build-up on a national scale.

 

Building up a database for AI training takes a lot of time with the support of a sustainable budget plan, which in many cases acts as a barrier for small-scale domestic companies and institutions to expand AI-related projects. A study verifies that the biggest obstacle to introducing AI learning in the field is the lack of data (24.2%), etc. (2021, KISDI).

 

The project's purpose is to construct the Korean speech database that will be used to reinforce the Korean speech corpora, eventually contributing to Korean language education to speakers of other languages and teaching its pronunciation.

 

AI learning in the field of language education and evaluation has brought attention to the development of an effective artificial intelligence-based Korean language education and evaluation system.  

 

Observed outside of Korea has clearly shown a demand for its research. As for Korean pronunciation and speaking training, it is necessary to establish voice data of the Korean language spoken by native speakers of English (USA, UK, Australia, Canada, etc.), European, Chinese, Japanese, and other Asian languages.

 

The metadata collected and studied on Korean pronunciation and its speaking education and evaluation will be expected to promote the S/W development in the related field.

 

In this project, 5,000 hours of speech data of the Korean language from English, European, Chinese, Japanese, and other Asian languages native speakers will be collected.