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
Automatic Digital Audio Processing-ADAP
Predictive deconvolution is a digital signal decorrelation technique for reducing the adverse effects of addictive and convolutional noise on audio signals. This procedure makes use of a Wiener predictor to estimate the correlated noise components in an audio signal and to subtract these components from that signal. The resulting signal is then shaped to a desired spectrum. An adaptive predictor further enhances this process by reducing undesired noise effects which are only short-term stationary. A real time 150th order adaptive predictive deconvolver, the Automatic Digital Audio Processor (ADAP), has been developed and is being used successfully in a variety of digital audio processing applications. Several examples of noise cancellation on audio recordings using the ADAP will be presented.
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.