Similarity-and-Independence-Aware Beamformer With Iterative Casting and Boost Start for Target Source Extraction Using Reference

  title={Similarity-and-Independence-Aware Beamformer With Iterative Casting and Boost Start for Target Source Extraction Using Reference},
  author={Atsuo Hiroe},
  journal={IEEE Open Journal of Signal Processing},
  • Atsuo Hiroe
  • Published 18 October 2021
  • Computer Science, Engineering
  • IEEE Open Journal of Signal Processing
Target source extractionis significant for improving human speech intelligibility and the speech recognition performance of computers. This study describes a method for target source extraction, called the similarity-and-independence-awarebeamformer (SIBF). The SIBF extracts the target source using a rough magnitude spectrogram as the reference signal. The advantage of the SIBF is that it can obtain a more accurate signal than the spectrogram generated by target-enhancing methods such as speech… 


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