Real World Blind Separation of Speech Signals

• KAWAMOTO Mitsuru

  Bio-Mimetic Control Research Center, RIKEN

• MATSUOKA Kiyotoshi

  Department of Control Engineering, Kyushu Institute of Technology

• OHNISHI Noboru

  Bio-Mimetic Control Research Center, RIKEN

Bibliographic Information

Other Title

• 実環境における複数音のブラインド分離

Abstract

This paper presents a method of blind separation which can separate original signals from their mixtures observed by the same number of sensors. The blind separation can be achieved without using strong assumption about source signals and any information about the mixing process, i. e., the transfer function between signal sources and sensors, except the fact that source signals are mutually statistically independent, Our proposed method can separate non-stationary signals (e. g,, speech signal, music) from their mixtures. We apply our method to an experiment which extracts two source signals from their mixtures observed in a normal room.

Journal

• IEICE technical report. Image engineering

  IEICE technical report. Image engineering 98 (575), 7-11, 1999-02-02

  The Institute of Electronics, Information and Communication Engineers

Keywords

• Blind separation
• Non-stationary signals
• Convolutive mixture

Details

• CRID: 1573387452167459456
• NII Article ID: 110003195097
• NII Book ID: AN10013006
• Text Lang: ja
• Data Source:
  • CiNii Articles