Search Results - "rank-constrained spatial covariance matrix estimation"

  • Showing 1 - 12 results of 12
Refine Results
  1. 1

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

    ISSN: 1687-6180, 1687-6172, 1687-6180
    Published: 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 speech and diffuse background noise are mixed…”
    Get full text
    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 by Ishikawa, Yuto, Nakamura, Tomohiko, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Takahashi, Yu, Kondo, Kazunobu

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2025
    Published in IEEE access (01.01.2025)
    “…) and rank-constrained spatial covariance matrix estimation (RCSCME). It has been reported that, in an offline scenario, the RCSCME-based method…”
    Get full text
    Journal Article
  3. 3

    Blind Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation With Multivariate Generalized Gaussian Distribution by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 2329-9290, 2329-9304
    Published: Piscataway IEEE 2020
    “…In this article, we propose a new blind speech extraction (BSE) method that robustly extracts a directional speech from background diffuse noise by combining…”
    Get full text
    Journal Article
  4. 4

    Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction by Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 2379-190X
    Published: IEEE 06.06.2021
    “…Rank-constrained spatial covariance matrix estimation (RCSCME) is a state-of-the-art blind speech extraction method applied to cases where one directional target speech and diffuse noise are mixed…”
    Get full text
    Conference Proceeding
  5. 5

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

    Published: IEEE 14.04.2024
    “…) and rank-constrained spatial covariance matrix estimation (RCSCME). The RCSCME-based method is a multichannel blind speech extraction method that demonstrates superior speech extraction performance in diffuse noise environments…”
    Get full text
    Conference Proceeding
  6. 6

    Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis by Misawa, Sota, Takamune, Norihiro, Nakamura, Tomohiko, Kitamura, Daichi, Saruwatari, Hiroshi, Une, Masakazu, Makino, Shoji

    ISSN: 2640-0103
    Published: APSIPA 14.12.2021
    “…Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed…”
    Get full text
    Conference Proceeding
  7. 7

    Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 2640-0103
    Published: IEEE 01.11.2019
    “…In this paper, we propose new accelerated update rules for rank-constrained spatial covariance model estimation, which efficiently extracts a directional…”
    Get full text
    Conference Proceeding
  8. 8

    Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation by Une, Masakazu, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi, Makino, Shoji

    ISSN: 2640-0103
    Published: IEEE 01.11.2019
    “…In a noisy environment, speech extraction techniques make hearing aid systems more effective and practical. Blind source separation (BSS) is suitable for…”
    Get full text
    Conference Proceeding
  9. 9

    Real-time Speech Extraction Using Spatially Regularized Independent Low-rank Matrix Analysis and Rank-constrained Spatial Covariance Matrix Estimation by Ishikawa, Yuto, Konaka, Kohei, Nakamura, Tomohiko, Takamune, Norihiro, Saruwatari, Hiroshi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.03.2024
    Published in arXiv.org (19.03.2024)
    “…) and rank-constrained spatial covariance matrix estimation (RCSCME). The RCSCME-based method is a multichannel blind speech extraction method that demonstrates superior speech extraction performance in diffuse noise environments…”
    Get full text
    Paper
  10. 10

    Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis by Misawa, Sota, Takamune, Norihiro, Nakamura, Tomohiko, Kitamura, Daichi, Saruwatari, Hiroshi, Une, Masakazu, Makino, Shoji

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 10.09.2021
    Published in arXiv.org (10.09.2021)
    “…Rank-constrained spatial covariance matrix estimation (RCSCME) is a method for the situation that the directional target speech and the diffuse noise are mixed…”
    Get full text
    Paper
  11. 11

    Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction by Kondo, Yuto, Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 06.05.2021
    Published in arXiv.org (06.05.2021)
    “…Rank-constrained spatial covariance matrix estimation (RCSCME) is a state-of-the-art blind speech extraction method applied to cases where one directional target speech and diffuse noise are mixed…”
    Get full text
    Paper
  12. 12

    Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction by Kubo, Yuki, Takamune, Norihiro, Kitamura, Daichi, Saruwatari, Hiroshi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 06.08.2019
    Published in arXiv.org (06.08.2019)
    “…In this paper, we propose new accelerated update rules for rank-constrained spatial covariance model estimation, which efficiently extracts a directional…”
    Get full text
    Paper