Feature selection via dynamic programming for text-independent speaker identification
Ronald Cheung, Bruce A. Eisenstein · IEEE Transactions on Acoustics Speech and Signal Processing · 1978
Dynamic programming is applied to the selection of feature subsets in text-independent speaker identification. Each feature is long-term averaged in order to reduce its variability to text information. The resulting subset of features shows a lower average identification error in comparison to that of the "knock-out" strategy, the cepstral coefficients, and the PARCOR coefficients.