Multichannel Sound Reproduction Quality Improves with Angular Separation of Direct and Reflected Sounds - June 2015
Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Data Reduction Techniques for High-Quality Digitized Audio
Two techniques for reducing the amount of data in high-quality digital audio were examined: minimum-length (Huffman) coding and differential floating-point coding. It was found that although minimum-length coding produces no distortion, it cannot uniformly reduce all different kinds of audio. On the other hand, differential coding uniformly reduces all kinds of sounds but can cause audible distortion on some signals.
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.