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
The Measurement and Calibration of Sound Reproducing Systems - July 2015
New Learning Algorithms for the Processing of Old Audio Recordings
Learning algorithms provide a powerful tool when used to eliminate impulse distortions affecting old records. Previously, a neural network simulation was tested with regard to the detection of scratches, hiss, and clicks. New experiments implemented another decision system based on the rough set method. Principles of this relatively new method of considering data are presented. Results of this approach to the sound restoration of old records are shown.
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.