Overdetermined Blind Separation for Real Convolutive Mixtures of Speech Based on Multistage ICA Using Subarray Processing

• Nishikawa, Tsuyoki

• Abe, Hiroshi

• Saruwatari, Hiroshi

• Shikano, Kiyohiro

• Kaminuma, Atsunobu

Abstract

We propose a new algorithm for overdetermined blind source separation (BSS) based on multistage independent component analysis (MSICA). To improve the separation performance, we have proposed MSICA in which frequency-domain ICA and time-domain ICA are cascaded. In the original MSICA, the specific mixing model, where the number of microphones is equal to that of sources, was assumed. However, additional microphones are required to achieve an improved separation performance under reverberant environments. This leads to alternative problems, e. g., a complication of the permutation problem. In order to solve them, we propose a new extended MSICA using subarray processing, where the number of microphones and that of sources are set to be the same in every subarray. The experimental results obtained under the real environment reveal that the separation performance of the proposed MSICA is improved as the number of microphones is increased.

Journal

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E87-A (8), 1924-1932, 2004-08

  電子情報通信学会

Keywords

• microphone array
• blind source separation
• independent component analysis
• subarray processing
• convolutive mixture

Details

• CRID: 1050577309353418752
• NII Article ID: 110003213122
• NII Book ID: AA10826239
• ISSN: 09168508
• HANDLE: 10061/7798
• Web Site: https://naist.repo.nii.ac.jp/records/3806
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • CiNii Articles