Double Parameter Optimization and Matlab Code Implementation Based on Artificial Bee Colony Algorithm
Artificial bee colony algorithm is a global search optimization algorithm proposed by simulating the foraging behavior of bees. It has high convergence speed and precision, and is widely used in many fields. This paper introduces how to apply the artificial bee colony algorithm to RSSD parameter optimization, and gives the corresponding Matlab code implementation.
1. Description of RSSD parameter optimization problem
RSSD (Reduced Size Spectral Descriptor) is an audio signal processing method for extracting concise audio features. This method can reduce the dimensionality of the traditional audio feature vector, thereby reducing the amount of calculation and storage space. However, in practical applications, different audio data may require different RSSD parameters to achieve the best effect, so the RSSD parameters need to be optimized.
The parameters of RSSD can be divided into two categories: the first category is the parameters related to the subband filter, including the number of subbands NNN , filter lengthLL