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タイトル
  • en Blind Source Separation for Convolutive Mixtures of Speech using Subband processing
作成者
    • en Araki, Shoko
    • en Makino, Shoji
    • en Aichner, Robert
    • en Nishikawa, Tsuyoki
    • en Saruwatari, Hiroshi
アクセス権 open access
内容注記
  • Abstract en Subband processing is applied to blind source separation ( BSS) for convolutive mixtures of speech in order to overcome the drawback of frequency-domain BSS. In frequency-domain BSS, we cannot use a long frame size to cover long reverberation for several seconds of speech. This is because we cannot correctly estimate the statistics in each frequency bin if we use a long frame with short observed speech signals. In subband based BSS, (1) we can maintain the number of samples needed to estimate the statistics in each subband by using a moderate number of s山bands, and (2) we can cover long reverberation by using FIR filters in each subband. In the proposed subband BSS, the permutation problem can be solved more easily than in the frequency-domain BSS. Moreover, we can avoid the whitening effect of separated signals which occurs in time-domain BSS.
日付
    Issued2002-09
言語
  • eng
資源タイプ conference paper
出版タイプ VoR
資源識別子 HDL http://hdl.handle.net/10061/8255 , URI https://naist.repo.nii.ac.jp/records/4823
収録誌情報
  • 開始ページ195 終了ページ202
ファイル
    • fulltext fulltext
    • 987.4 kB (application/pdf)
      • Available2023-03-02
コンテンツ更新日時 2025-08-28