This paper shows a comparison between Hidden Markov Models (HMM) trained with 12 mel-cepstral coefficients plus extra(s) parameter(s) and two different HMM initialization ways. Thus, it compares the models, in order to detect the more robust parameter added to the mel-cepstral vector in an Automatic Speech Recognizer (ASR) system for the Brazilian Portuguese. To perform such experiments, it uses the HTK to train the HMMs. All the HMMs models used the same speech training base, which is the Spoltech corpus.