Local Gaussian model with source-set constraints in audio source separation

@article{Ikeshita2017LocalGM,
  title={Local Gaussian model with source-set constraints in audio source separation},
  author={Rintaro Ikeshita and Masahito Togami and Yohei Kawaguchi and Yusuke Fujita and Kenji Nagamatsu},
  journal={2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)},
  year={2017},
  pages={1-6}
}
To improve the performance of blind audio source separation of convolutive mixtures, the local Gaussian model (LGM) having full rank covariance matrices proposed by Duong et al. is extended. The previous model basically assumes that all sources contribute to each time-frequency slot, which may fail to capture the characteristic of signals with many intermittent silent periods. A constraint on source sets that contribute to each time-frequency slot is therefore explicitly introduced. This… CONTINUE READING

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