• DOI:10.1109/TASL.2009.2026503
Corpus ID: 17566873

On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset

@article{Hsu2010OnTI,
  title={On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset},
  author={Chao-Ling Hsu and J. Jang},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2010},
  volume={18},
  pages={310-319}
}

Chao-Ling Hsu, J. Jang

Published 2010

Computer Science

IEEE Transactions on Audio, Speech, and Language Processing

Monaural singing voice separation is an extremely challenging problem. [...] Key Method The proposed system follows the framework of computational auditory scene analysis (CASA) which consists of the segmentation stage and the grouping stage. In the segmentation stage, the input song signals are decomposed into small sensory elements in different time-frequency resolutions. The unvoiced sensory elements are then identified by Gaussian mixture models. The experimental results demonstrated that the quality of the…Expand Abstract

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