t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
def calcul_matrix_je_le_qui_dans_de_192_matrix_compare_df_1(
filename, filename_1, word, word_2, word_3, word_4, word_5):
#==============================================================================
# this is the parti for the 'je' start
#==============================================================================
wave_signal_float, framerate, word_start_point, word_length_point, word_end_point = read_wav_xml_good_1(
filename, filename_1, word)
XJ_1 = wave_signal_float
t_step = 1920
t_entre_step = 1440
t_du_1_1 = int(word_start_point[0])
t_du_1_2 = int(word_end_point[0])
t_du_2_1 = int(word_start_point[1])
t_du_2_2 = int(word_end_point[1])
t_du_3_1 = int(word_start_point[2])
t_du_3_2 = int(word_end_point[2])
t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the second matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_2_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_2 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_2[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_2[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 3 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_3_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_3 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_3[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_3[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 4 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_4_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_4 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_4[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_4[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 5 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_5_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_5 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_5[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_5[24 * i + j] = x1_all[j]
je_compare_1 = matrix_all_step_new_1
je_compare_2 = matrix_all_step_new_2
je_compare_3 = matrix_all_step_new_3
je_compare_4 = matrix_all_step_new_4
je_compare_5 = matrix_all_step_new_5
#==============================================================================
# # this is the parti for the 'je' end
#==============================================================================
#np.savez('je_le_qui_dans_de_192_matrix.npz',matrix_all_step_new_1,matrix_all_step_new_2,matrix_all_step_new_3,matrix_all_step_new_4,matrix_all_step_new_5)
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
# # # # # # # # demain, je continue ici
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
#==============================================================================
# this is the parti for the 'le' start
#==============================================================================
wave_signal_float, framerate, word_start_point, word_length_point, word_end_point = read_wav_xml_good_1(
filename, filename_1, word_2)
XJ_1 = wave_signal_float
t_step = 1920
t_entre_step = 1440
t_du_1_1 = int(word_start_point[0])
t_du_1_2 = int(word_end_point[0])
t_du_2_1 = int(word_start_point[1])
t_du_2_2 = int(word_end_point[1])
t_du_3_1 = int(word_start_point[2])
t_du_3_2 = int(word_end_point[2])
t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the second matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_2_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_2 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_2[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_2[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 3 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_3_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_3 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_3[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_3[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 4 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_4_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_4 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_4[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_4[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 5 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_5_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_5 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_5[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_5[24 * i + j] = x1_all[j]
le_compare_1 = matrix_all_step_new_1
le_compare_2 = matrix_all_step_new_2
le_compare_3 = matrix_all_step_new_3
le_compare_4 = matrix_all_step_new_4
le_compare_5 = matrix_all_step_new_5
#==============================================================================
# # this is the parti for the 'le' end
#==============================================================================
#==============================================================================
# this is the parti for the 'qui' start
#==============================================================================
wave_signal_float, framerate, word_start_point, word_length_point, word_end_point = read_wav_xml_good_1(
filename, filename_1, word_3)
XJ_1 = wave_signal_float
t_step = 1920
t_entre_step = 1440
t_du_1_1 = int(word_start_point[0])
t_du_1_2 = int(word_end_point[0])
t_du_2_1 = int(word_start_point[1])
t_du_2_2 = int(word_end_point[1])
t_du_3_1 = int(word_start_point[2])
t_du_3_2 = int(word_end_point[2])
t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the second matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_2_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_2 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_2[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_2[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 3 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_3_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_3 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_3[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_3[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 4 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_4_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_4 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_4[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_4[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 5 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_5_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_5 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_5[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_5[24 * i + j] = x1_all[j]
qui_compare_1 = matrix_all_step_new_1
qui_compare_2 = matrix_all_step_new_2
qui_compare_3 = matrix_all_step_new_3
qui_compare_4 = matrix_all_step_new_4
qui_compare_5 = matrix_all_step_new_5
#==============================================================================
# this is the parti for the 'dans' start
#==============================================================================
wave_signal_float, framerate, word_start_point, word_length_point, word_end_point = read_wav_xml_good_1(
filename, filename_1, word_4)
XJ_1 = wave_signal_float
t_step = 1920
t_entre_step = 1440
t_du_1_1 = int(word_start_point[0])
t_du_1_2 = int(word_end_point[0])
t_du_2_1 = int(word_start_point[1])
t_du_2_2 = int(word_end_point[1])
t_du_3_1 = int(word_start_point[2])
t_du_3_2 = int(word_end_point[2])
t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the second matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_2_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_2 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_2[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_2[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 3 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_3_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_3 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_3[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_3[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 4 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_4_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_4 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_4[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_4[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 5 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_5_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_5 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_5[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_5[24 * i + j] = x1_all[j]
dans_compare_1 = matrix_all_step_new_1
dans_compare_2 = matrix_all_step_new_2
dans_compare_3 = matrix_all_step_new_3
dans_compare_4 = matrix_all_step_new_4
dans_compare_5 = matrix_all_step_new_5
#==============================================================================
# this is the parti for the 'de' start
#==============================================================================
wave_signal_float, framerate, word_start_point, word_length_point, word_end_point = read_wav_xml_good_1(
filename, filename_1, word_5)
XJ_1 = wave_signal_float
t_step = 1920
t_entre_step = 1440
t_du_1_1 = int(word_start_point[0])
t_du_1_2 = int(word_end_point[0])
t_du_2_1 = int(word_start_point[1])
t_du_2_2 = int(word_end_point[1])
t_du_3_1 = int(word_start_point[2])
t_du_3_2 = int(word_end_point[2])
t_du_4_1 = int(word_start_point[3])
t_du_4_2 = int(word_end_point[3])
t_du_5_1 = int(word_start_point[4])
t_du_5_2 = int(word_end_point[4])
fs = framerate
#XJ_du_1 = wave_signal_float[(t_du_1_1-1):t_du_1_2];
#length_XJ_du_1 = int(word_length_point[0]+1);
#x1,y1,z1=matrix_24_2(XJ_du_1,fs)
#x1=max_matrix_norm(x1)
#==============================================================================
# this part is to calcul the first matrix
#==============================================================================
XJ_du_1_2 = XJ_1[(t_du_1_1 - 1):(t_du_1_1 + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_1 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_1[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_du_1_1 + t_entre_step * (i) -
1):(t_du_1_1 + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_1[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the second matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_2_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_2 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_2[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_2[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 3 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_3_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_3 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_3[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_3[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 4 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_4_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_4 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_4[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_4[24 * i + j] = x1_all[j]
#==============================================================================
# this part is to calcul the 5 matrix
#==============================================================================
for k in range(1, 2):
t_start = t_du_5_1
XJ_du_1_2 = XJ_1[(t_start - 1):(t_start + t_step)]
x1_1, y1_1, z1_1 = matrix_24_2(XJ_du_1_2, fs)
x1_1 = max_matrix_norm(x1_1)
matrix_all_step_new_5 = np.zeros([192])
for i in range(0, 24):
matrix_all_step_new_5[i] = x1_1[i]
#==============================================================================
# the other colonne is the all fft
#==============================================================================
for i in range(1, 8):
# print i
XJ_du_1_total = XJ_1[(t_start + t_entre_step * (i) -
1):(t_start + t_step + t_entre_step * (i))]
x1_all, y1_all, z1_all = matrix_24_2(XJ_du_1_total, fs)
x1_all = max_matrix_norm(x1_all)
for j in range(0, 24):
matrix_all_step_new_5[24 * i + j] = x1_all[j]
de_compare_1 = matrix_all_step_new_1
de_compare_2 = matrix_all_step_new_2
de_compare_3 = matrix_all_step_new_3
de_compare_4 = matrix_all_step_new_4
de_compare_5 = matrix_all_step_new_5
#==============================================================================
# # this is the parti for the 'le' end
#==============================================================================
np.savez('je_le_qui_dans_de_192_matrix_compare.npz', je_compare_1,
je_compare_2, je_compare_3, je_compare_4, je_compare_5,
le_compare_1, le_compare_2, le_compare_3, le_compare_4,
le_compare_5, qui_compare_1, qui_compare_2, qui_compare_3,
qui_compare_4, qui_compare_5, dans_compare_1, dans_compare_2,
dans_compare_3, dans_compare_4, dans_compare_5, de_compare_1,
de_compare_2, de_compare_3, de_compare_4, de_compare_5)
finish_2 = 1
return finish_2
