Improved speech spatial covariance matrix estimation for online multi-microphone speech enhancement

HIGHLIGHTS

  • who: Minseung Kim et al. from the School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Buk-gu, Gwangju, Republic of Korea have published the research: Improved Speech Spatial Covariance Matrix Estimation for Online Multi-Microphone Speech Enhancement, in the Journal: Sensors 2023, 23, 111. of /2023/
  • what: The authors propose an estimator for the SCM which can be parameterized with the power spectral density (PSD) and relative transfer function (RTF). The authors propose a novel estimator based on a time difference of arrival (TDoA) estimate obtained by the cross-correlation . . .

     

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