The most basic model for convolution algorithms is an extension of the simultaneous irrelevance model. A triangle-like function describes the masking effect in the frequency and time direction. Combined, they result in a 2-D function, which is used as convolution on the time-frequency coefficients of the given signal. The resulting information is then used to calculate a threshold function. This can be implemented as a Gabor multiplier. This very simple function should be exchanged for a more elaborate 2-D kernel. A more elaborate 2-D kernel can be developed from the first time frequency masking effect measurements of a Gaussian atom.
An extension of the simultaneous irrelevance model is used as the most basic model for the convolution algorithm under investigation. A triangle-like function describes the masking effect in the frequency and time direction. Combined, they result in a 2-D function, which is used as convolution on the time-frequency coefficients of the given signal to calculate a threshold function. This can be implemented as a Gabor multiplier. This very simple function should be exchanged for a more elaborate 2-D kernel developed from the first time-frequency masking effect measurements of a Gaussian atom.
After thoroughly testing this algorithm in psychoacoustic experiments, it will be implemented in STx.
This project ended on 28.02.2008 and is incorporated into the 'High Potential'-Project of the WWTF, MULAC.