AES E-Library

AES E-Library

Improved Gunshot Classification by Using Artificial Data

Document Thumbnail

Gunshot classi?cation in audio ?les is used in forensics, surveillance, and multimedia analysis. In this contribution we show that it is possible to use data augmentation in order to enlarge the training set of a rare event like a gunshot with arti?cial data based on a simple but suf?cient model, and a database of room impulse responses. The results indicate that the enlarged database increases the accuracy in a classi?cation task signi?cantly, even if no real data is used for training at all.

Authors:
Affiliations:
AES Conference:
Paper Number:
Publication Date:
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=20469

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:

Start a discussion about this paper!


AES - Audio Engineering Society