Distinctive features are extracted from the acoustic signal using artificial neural networks. It is shown that the different acoustic realisation of the features in vowels and stop consonants can be exploited to gain better feature extraction by treating them separately. Our result gives support to the existence of invariant cues for some features. Keyword: Distinctive features; Extraction; Invariant cues; Artificial Neural Networks.