The aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) strategy applied to portable computers. The developed algorithms involve intelligent, rule-based settings of bass synthesis parameters with regard to music genre of an audio excerpt and the type of a portable device in use. The Smart VBS algorithm performs the synthesis based on a nonlinear device (NLD) with artificial controlling synthesis system according to music genre. Classification of musical genres is performed using the k-Nearest Neighbor algorithm and the extracted MPEG 7-based feature vectors optimized by the Principal Component Analysis method. To confirm the relationship between the presented excerpt of music from a variety of music genres and the listener’s preferences, subjective tests using the Mushra method are performed. On the basis of the listeners’ opinions statistical tests are carried out and show that listeners in most cases prefer the SVBS strategy developed by the authors in comparison to either an audio excerpt with the bass boost algorithm applied and unprocessed audio file. Furthermore, the listeners indicated that perception of the proposed SVBS strategy is similar for different types of portable devices.
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