Alhamdulillah, our paper has been accepted for the conference ICAIIC 2025. This paper discusses the importance of ensemble learning to improve speech classification accuracy. We proposed performance-weighting methods to evaluate with two variants: using weighted and unweighted accuracies.
Our work is highly beneficial to society, as it will help to improve the performance of speech classification. It may be also generalizable to other domains outside of speech area.
Several aspects can still be developed further, such as incorporating other weighting methods, implementation in other datasets as well as in other tasks. We invite readers to collaborate in addressing the unresolved questions above.
We extend our gratitude to AIST for their full support of our research, NEDO and JST for research funding.
Happy reading. We welcome your feedback.
URL for downloading the paper: (will be given after available or contact me to get the accepted version).
