Structuring time domain blind source separation algorithms for CASA integration

@inproceedings{Schlling2006StructuringTD,
  title={Structuring time domain blind source separation algorithms for CASA integration},
  author={Bj{\"o}rn Sch{\"o}lling and Martin Heckmann and Frank Joublin and Christian Goerick},
  booktitle={SAPA@INTERSPEECH},
  year={2006}
}
Most algorithms based on Computational Auditory Scene Analysis (CASA) for binaural speech separation do not have the ability to inhibit already localized and for a long time present sources in the auditory scene. This has the major drawback that the auditory cues of weaker and new sources are subject to interference from already localized and perceived signals and the separation performance is worse if the signals overlap in their processing domain. In this paper we outline how one can build… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 14 references

Speech Enhancement, chapter Single-Microphone Blind Dereverberation, pp. 247–270

T. Nakatani, M. Miyoshi, K. Kinoshita
Signals and Communication Technology • 2005
View 1 Excerpt

Adaptive blind channel identification under unit-norm constraint

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. • 2002
View 1 Excerpt

Adaptive eigenvalue decomposition algorithm for passive acoustic source localization

The Journal of the Acoustical Society of America • 2000
View 1 Excerpt

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