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Author/Affiliation: Masanobu AbeOpen AccessArticle
10 Pages, 1,135 KB 
Acoustic Scene Classifier Based on Gaussian Mixture Model in the Concept Drift Situation
Abstract:
The data distribution used in model training is assumed to be similar with that when the model is applied. However, in some applications, data distributions may change over time. This situation is called the concept drift, which might decrease the model performance because the model is trained and evaluated in different distributions. To solve this…
Read More(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Artificial Intelligence in Computer Science (CAI))