In this chapter we discuss the problem of identifying the underlying topics beings discussed in spoken audio recordings. We focus primarily on the issues related to supervised topic classification or detection tasks using labeled training data, but we also discuss approaches for other related tasks including novel topic detection and unsupervised topic clustering. The chapter provides an overview of the common tasks and data sets, evaluation metrics, and algorithms most commonly used in this area of study.