[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7776/ASK.2012.31.5.332

Audio Source Separation Method based on Beamspace-domain Multichannel Non-negative Matrix Factorization, Part II: A Study on the Beamspace Transform Algorithms

Lee, Seok-Jin (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)
Park, Sang-Ha (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)
Sung, Koeng-Mo (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)

Publication Information

The Journal of the Acoustical Society of Korea / v.31, no.5, 2012 , pp. 332-339 More about this Journal

Abstract

Beamspace transform algorithm transforms spatial-domain data - such as x, y, z dimension - into incidence-angle-domain data, which is called beamspace-domain data. The beamspace transform method is generally used in source localization and tracking, and adaptive beamforming problem. When the beamspace transform method is used in multichannel audio source separation, the inverse beamspace transform is also important because the source image have to be reconstructed. This paper studies the beamspace transform and inverse transform algorithms for multichannel audio source separation system, especially for the beamspace-domain multichannel NMF algorithm.

Keywords

Multichannel audio source separation; Non-negative matrix factorization (NMF); Beamspace-transform;

Citations & Related Records

Reference

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