Journal Forum

Sound Board: High-Resolution Audio - October 2015

Synchronized Swept-Sine: Theory, Application, and Implementation - October 2015

Effect of Microphone Number and Positioning on the Average of Frequency Responses in Cinema Calibration - October 2015
1 comment

Access Journal Forum

AES E-Library

A Method for Characterizing and Identifying Audio Based on Auditory Scene Analysis

Document Thumbnail

A method for characterizing and identifying audio material using reduced-information audio characterizations based on auditory scene analysis is presented. In the method described, a single or multi-channel audio signal is analyzed and the location and duration of the individual audio auditory events are identified. The auditory events are used to create a reduced-information, audio signature that can be used to determine whether one audio signal is derived from another audio signal. The audio signal comparison removes or minimizes the effect of temporal shift or delay on the audio signals, calculates a measure of similarity, and compares the measure of similarity against a threshold providing a fast, highly accurate and automatic method of signal identification.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society