Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme

@article{Malek2017SpeakerEU,
  title={Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme},
  author={Ariel Malek and Shlomo E. Chazan and Ilan Malka and Vladimir Tourbabin and Jacob Goldberger and Eli Tzirkel-Hancock and Sharon Gannot},
  journal={2017 25th European Signal Processing Conference (EUSIPCO)},
  year={2017},
  pages={2274-2278}
}
The linearly constrained minimum variance (LCMV)-beamformer (BF) is a viable solution for desired source extraction from a mixture of speakers in a noisy environment. The performance in terms of speech distortion, interference cancellation and noise reduction depends on the estimation of a set of parameters. This paper presents a new mechanism to update the parameters of the LCMV-BF. A new speech presence probability (SPP)-based voice activity detector (VAD) controls the noise covariance matrix… CONTINUE READING

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