New Contribution on Noise Reduction Using Wavelet Techniques: Application to the Restoration of Old Recordings
Noise reduction, applied to the restoration of old recordings, remains a crucial problem, particularly when the signal-to-noise ratio differs considerably according to the frequency area. The signal is first separated through a subband decomposition, using wavelet techniques. Noise reduction is then applied individually to each subband. Results confirmed by psychoacoustic tests indicate that a real improvement in signal quality has been achieved.
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 $33 for non-members, $5 for AES members and is free for E-Library subscribers.