Abstract: In consumer electronics, the advent of ultra-thin devices has raised interest in Virtual Bass Enhancement (VBE) algorithms for enhancing the bass performance of their small-size loudspeakers since, due to physical limitations, large volume velocities cannot be achieved. Such techniques exploit psychoacoustic effects originated by the sound signal processing happening in the inner ear and brain. In this paper, we propose a nonlinear circuital model of a generic time-domain VBE system, and we implement it in the discrete-time domain. As required by most applications of interest, the proposed VBE algorithm is able to operate in real-time. A MUSHRA-like test is then employed to evaluate the bass enhancement performance of the proposed algorithm using different nonlinear devices and parameter configurations.
The paper can be downloaded from this link.
R. Giampiccolo, A. Bernardini, and A. Sarti, "A Time-Domain Virtual Bass Enhancement Circuital Model for Real-Time Music Applications,” IEEE 24th International Workshop on Multimedia Signal Processing (MMSP 2022), Shanghai, China, 26-28 September 2022, pp. 1-5.
@inproceedings{giampiccolo:vbe2022, address = {Shanghai, China}, author = {R. Giampiccolo, and A. Bernardini, and A. Sarti}, booktitle = {IEEE 24th International Workshop on Multimedia Signal Processing (MMSP 2022)}, month = {Sept.}, title = {A Time-Domain Virtual Bass Enhancement Circuital Model for Real-Time Music Applications}, year = {2022} doi={10.1109/MMSP55362.2022.9949443}}
All the audio tracks considered for this paper are available below.