Dialect Identification Based on VQ Codebook Design with GA-LBG Algorithm
In order to solve the problem of GAs slowconvergence in the VQ codebook design due to the strong global search ability and the complex computation, a hybrid algorithm based on the GA-LBG algorithm is adopted because the LBG algorithm as an iterative algorithm based on the nearest neighbor rule and the centroid rule owns the advantage of fast convergence. In the simulation experiment, MKCC extracted from Mandarin, Shanghainese, Cantonese and Hokkien are employed as the feature vectors to establish codebook models with GA-LBG for the dialect identification, and the recognition performances on different size of the VQ codebooks are studied. And simulation results demonstrate that the running time with GA-LBG reduces to 1066.4s, less than that with GA alone.
dialect identification vector quantization GA-LBG algorithm MFCC
Yan He Feng Qin Yu
School of Internet of Things Engineering Jiangnan University Wuxi, China
国际会议
武汉
英文
94-97
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）