Abstract
Many applications of Music Information Retrieval can benefit from effective isolation of the music sources. Earlier work by the authors led to the development of a system that is based on Azimuth Discrimination and Resynthesis (ADRess) and can extract the singing voice from reverberant stereophonic mixtures. We propose an extension to our previous method that is not based on ADRess and exploits both channels of the stereo mix more effectively. For the evaluation of the system we use a dataset that contains songs convolved during mastering as well as the mixing process (i.e. “real-world” conditions). The metrics for objective evaluation are based on bss_eval.
| Original language | English |
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| Title of host publication | In: Proceedings of the 13th International Conference on Digital Audio Effects, (DAFx 2010) |
| Publisher | Institute of Electronic Music and Acoustics |
| Pages | 221-224 |
| ISBN (Print) | 978-3-2000-1940-9 |
| Publication status | Published - 2010 |