This article presents an acoustic water leak detection system. It shows all the stages for doing acoustic leak signal processing and classification. The technique used for classification is support vector machine (SVM) using as features the Itakura mean and maximum distance and the larger projection of the principal component analysis (PCA). The whole process is based on the autoregressive (AR) models of the signals. Detection rate achieved is 80%.