A Computationally Efficient Scheme for Dominant Harmonic Source Separation

The leading voice is an important feature of musical pieces and can often be considered as the dominant harmonic source. We propose in this paper a new scheme for the purpose of efficient dominant harmonic source separation. This is achieved by considering an harmonicity cue which is first compared with state-of-the-art cues using a generic evaluation methodology. The proposed separation scheme is then compared to a generic computational auditory scene analysis framework. Computational speed-up and performance comparison is done using source separation and music information retrieval tasks.