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
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Improved Quantization and Lossless Coding for Subband Audio Coding
A source coding algorithm based on the classic Markov model is presented, which uses Vector Quantization and arithmetic coding in conjunction with a dynamically adapted context of previously coded vector indices. The core of this algorithm is the numerically optimized mapping from a large number of source states to a small number of different code tables. This enables its application to audio coding, where it provides higher efficiency than the quantization and lossless coding used in MPEG-AAC.
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.