Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

@article{Mori2006BlindSO,
  title={Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking},
  author={Yoshimitsu Mori and Hiroshi Saruwatari and Tomoya Takatani and Satoshi Ukai and Kiyohiro Shikano and Takashi Hiekata and Youhei Ikeda and Hiroshi Hashimoto and Takashi Morita},
  journal={EURASIP J. Adv. Sig. Proc.},
  year={2006},
  volume={2006}
}
A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMOmodel-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMOmodel-based… CONTINUE READING
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A method of ICA in time-frequency domain

  • S. Ikeda, N. Murata
  • Proceedings of International Workshop on…
  • 1999
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