Effective Frame Selection for Blind Source Separation Based on Frequency Domain Independent Component Analysis-Reference-Cited by-同舟云学术

Effective Frame Selection for Blind Source Separation Based on Frequency Domain Independent Component Analysis

Published:2014 Issue:3 Volume:E97.A Page:784-791
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

MIZUNO Yusuke¹,KONDO Kazunobu²,NISHINO Takanori³,KITAOKA Norihide¹,TAKEDA Kazuya¹

Affiliation:

1. Graduate School of Information Science, Nagoya University

2. Corporate Research & Development Center, Yamaha Corporation

3. Graduate School of Engineering, Mie University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E97.A/3/E97.A_784/_pdf

Reference22 articles.

1. [1] S.T. Roweis, “One microphone source separation,” Neural Information Processing Systems, pp.793-799, Nov. 2000.

2. [2] M. Schmidt and R. Olsson, “Single-channel speech separation using sparse non-negative matrix factorization,” INTERSPEECH 2006, pp.2614-2617, Sept. 2006.

3. [3] K. Niwa, T. Nishino, and K. Takeda, “Selective listening point audio based on blind signal separation and ste reophonic technology,” IEICE Trans. Inf. & Syst., vol.E92-D, no.3, pp.469-476, March 2009.

4. [4] T. Nishino, K. Niwa, and K. Takeda, “Selective listening point audio based on blind signal separation and 3D audio effect,” International workshop on the principles and applications of spatial hearing (IWPASH2009), I10, Nov. 2009.

5. [5] M. Ogasawara, T. Nishino, and K. Takeda, “Blind source separation using dodecahedral microphone array under reverberant conditions,” IEICE Trans. Fundamentals, vol.E94-A, no.3, pp.803-806, March 2011.