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Scripts/utils/nnet/gen_dct_mat.py
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#!/usr/bin/python -u # ./gen_dct_mat.py # script generates matrix with DCT transform # # author: Karel Vesely # from math import * import sys from optparse import OptionParser parser = OptionParser() parser.add_option('--fea-dim', dest='dim', help='feature dimension') parser.add_option('--splice', dest='splice', help='applied splice value') parser.add_option('--dct-basis', dest='dct_basis', help='number of DCT basis') (options, args) = parser.parse_args() if(options.dim == None): parser.print_help() sys.exit(1) dim=int(options.dim) splice=int(options.splice) dct_basis=int(options.dct_basis) timeContext=2*splice+1 #generate the DCT matrix M_PI = 3.1415926535897932384626433832795 M_SQRT2 = 1.4142135623730950488016887 #generate small DCT matrix print '[' for k in range(dct_basis): for m in range(dim): for n in range(timeContext): if(n==0): print m*'0 ', else: print (dim-1)*'0 ', print str(sqrt(2.0/timeContext)*cos(M_PI/timeContext*k*(n+0.5))), if(n==timeContext-1): print (dim-m-1)*'0 ', print print print ']' |