Frame-wise model re-estimation method based on Gaussian pruning with weight normalization for noise robust voice activity detection

@article{Fujimoto2012FramewiseMR,
  title={Frame-wise model re-estimation method based on Gaussian pruning with weight normalization for noise robust voice activity detection},
  author={Masakiyo Fujimoto and Shinji Watanabe and Tomohiro Nakatani},
  journal={Speech Communication},
  year={2012},
  volume={54},
  pages={229-244}
}
This paper proposes a robust voice activity detection (VAD) method that operates in the presence of noise. For noise robust VAD, we have already proposed statistical models and a switching Kalman filter (SKF)-based technique. In this paper, we focus on a model re-estimation method using Gaussian pruning with weight normalization. The statistical model for… CONTINUE READING