Sound Re-synthesis from rhythm Pattern Features - audible insight into a Music Feature Extraction Process

For tasks like musical genre identification and similarity searches in audio databases, audio files have to be described by suitable feature sets. Since these feature sets usually try to capture diverse discriminative characteristics, it is interesting and desirable to create an acoustic representation of the feature set to support intuitive evaluation. In this paper, we present an approach for making a specific feature set, namely Rhythm Patterns, instantly human comprehensible by re-assembling sound from the numerical descriptors. The re-synthesized audio chunks represent clearly perceivable rhythmical characteristics on critical frequency bands of the original music.