What are some algorithms for feature extraction, particularly when dealing with frequency data of human voices?

I am currently working on a voice identification project and my current dataset is a 250-dimensional vector of intensities at frequency intervals. This was calculated with FFT. Are there any recommended techniques for extracting important features of such data to improve classification and filter out noise?