You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
The design, implementation, and evaluation of a system for automatic audio signal classification is presented. The signals are classified according to audio type, differentiating between three speech classes, 13 musical genres, and background noise. A large number of audio features are evaluated for their suitability in such a classification task, including MPEG-7 descriptors and several new features. The selection of the features is carried out systematically with regard to their robustness to noise and bandwidth changes, as well as to their ability to distinguish a given set of audio types. Direct and hierarchical approaches for the feature selection and for the classification are evaluated and compared.
Author (s): Burred, Juan José; Lerch, Alexander
Affiliation:
Technical University of Berlin, Berlin, Germany; zplane.development, Berlin, Germany
(See document for exact affiliation information.)
Publication Date:
2004-07-06
Import into BibTeX
Permalink: https://aes2.org/publications/elibrary-page/?id=13015
(241KB)
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 Join the AES. If you need to check your member status, login to the Member Portal.
Burred, Juan José; Lerch, Alexander; 2004; Hierarchical Automatic Audio Signal Classification [PDF]; Technical University of Berlin, Berlin, Germany; zplane.development, Berlin, Germany; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=13015
Burred, Juan José; Lerch, Alexander; Hierarchical Automatic Audio Signal Classification [PDF]; Technical University of Berlin, Berlin, Germany; zplane.development, Berlin, Germany; Paper ; 2004 Available: https://aes2.org/publications/elibrary-page/?id=13015