This chapter discusses about the proposed approaches to model the implicit features of excitation source information for language identification. Excitation source features such as raw LP residual samples, its magnitude and phase components are processed at three different levels: sub-segmental, segmental and supra-segmental levels to capture different aspects of excitation source information for LID task. Further, LID systems are developed by combining the evidences obtained from LID systems built using individual features.