Frequency-Domain Algorithms for Audio Signal Enhancement Based on Transient Modification
Two processing approaches that enable perceptually compelling modification of audio signals via accentuation or suppression of transients are described. The first algorithm uses a frequency-domain analysis and a soft-decision paradigm to characterize transients in the signal; the transient characterization is then used to drive a nonlinear frequency-domain modification. In the second algorithm the modulation spectrum of the audio signal is manipulated by modifying the time trajectories of spectral envelopes in different frequency bands; scaling of higher modulation frequencies with shelving filters is used to modify rapidly changing signal events, thus altering transient components without the need for explicit detection. The algorithms are described in detail and it is demonstrated that they can achieve substantial modification of a signal’s perceptual attributes without introducing significant artifacts.
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.