In this paper, we extend a previously introduced method for the generation of vocal tract length invariant (VTLI) features. The novelty is a reduction of the number of obtained invariances to the more desired ones, which results in a significant improvement of recognition rates. In experiments on the TIMIT database, the enhanced discrimination capabilities and robustness to mismatches between training and test conditions are shown.