Výsledky vyhledávání - "rank-constrained spatial covariance matrix estimation"

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  1. 1

    Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction Autor Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 1687-6180, 1687-6172, 1687-6180
    Vydáno: Cham Springer International Publishing 22.09.2022
    “…Rank-constrained spatial covariance matrix estimation (RCSCME) is a blind speech extraction method utilized under the condition that one-directional target…”
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    Journal Article
  2. 2

    Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis with Fast Demixing Matrix Estimation Autor Ishikawa, Yuto, Nakamura, Tomohiko, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Takahashi, Yu, Kondo, Kazunobu

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2025
    Vydáno v IEEE access (01.01.2025)
    “…Real-time speech extraction is a valuable task and has diverse applications, such as speech recognition in a human-like avatar/robot and hearing aids. In this…”
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    Journal Article
  3. 3

    Real-Time Speech Extraction Using Spatially Regularized Independent Low-Rank Matrix Analysis and Rank-Constrained Spatial Covariance Matrix Estimation Autor Ishikawa, Yuto, Konaka, Kohei, Nakamura, Tomohiko, Takamune, Norihiro, Saruwatari, Hiroshi

    Vydáno: IEEE 14.04.2024
    “…Real-time speech extraction is an important challenge with various applications such as speech recognition in a human-like avatar/robot. In this paper, we…”
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