Density Estimation

Density estimation aims to accurately describe the underlying probability density distribution of an observable dataset whose density is unknown. Through unsupervised learning methods, density estimation can uncover the intrinsic structure and characteristics of the data, providing a crucial foundation for subsequent data analysis and modeling. In tasks such as automatic speaker verification, the application value of density estimation is particularly significant, as it can effectively enhance the robustness and accuracy of the system.