In This Section
AES Store
- Learn From The Experts:
Phil Ramone "Reverberation"- Oral History Project Gallery
- Other AES Publications
Journal Forum
Virtual Localization by Blind Persons - July 2012
1 comment
Effect of Spatial Location and Presentation Rate on the Reaction to Auditory Displays - July 2012
1 comment
Watermark-Aided Pre-Echo Reduction in Low Bit-Rate Audio Coding - June 2012
1 comment
AES E-Library
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.
Learn more about the AES E-Library
Start a discussion about this paper!
