Methods for Reducing Audible Artifacts in a Wavelet-Based Broad-Band Denoising System
A wavelet-based method for denoising broad-band noisy audio signals is proposed and implemented. The method is a modified algorithm based on the method of Coifman and Wickerhauser (1992). The modified algorithm shows noticeable improvement in quality and computation overhead compared to the original method when denoising digitized music signals with different levels of additive broad-band noise. Several implementation issues are described.
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.