An improved feature calculation for the hidden Markov model method for passive acoustic leak detection is presented. The method uses background noise learning only, i.e. is independent of leak noise characteristics. A new normalization leads to important reduction of training data needed. An exhaustive model parameter study is included. The method is demonstrated on acoustic noise from the Phénix steam generator operating at full power.