3 accepted papers
The remarkable emergence of large language models (LLM) and their vast capabilities have opened a possibility for applications in various fields, including speech emotion recognition (SER). Despite the advancement of SER methods and the abundance of speech data, the requirement of having speech data…
Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing AI models suffer from a significant lack of representation of texts, images, and audio datasets from SEA, compromising…
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Through this initiative, we have brought together 137 datasets and 118 standardized data loaders. The quality of the dataset…