Separation of sound source can be achieved by spatial filtering with multi-channel acoustic observations. However, the right algorithm should be prepared in each condition of acoustic scene. It is difficult to provide the suitable algorithm under real acoustic environments. In this paper, an adaptive source separation scheme is proposed based on the reliability of a spatial feature, which gives an estimate of direction of arrival (DOA). As confidence measures for DOA estimates, the third and fourth moments for spatial features are employed to measure how sharp the main-lobes of spatial features are. This paper proposes to selectively use either spatial filters or frequency-selective filters without spatial filtering depending on the reliability of each DOA estimate.

Author: Mizumachi, Mitsunori
Affiliation: Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan
AES Convention: 128 (May 2010) Paper Number: 8133
Publication Date: May 1, 2010 Import into BibTeX
Subject: Audio Processing—Music and Speech Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15430

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 128Papers)   /128/8133.pdf

Start a discussion about this paper!