Results for movel translation from French to English

auguer de um movel no saufala
um auguer movel not saufala

le centre est dirigé conjointement par le pasteur james movel wuye et l'imam ashafa, qui ont tout un bagage de connaissances et d'expérience dans les conflits interreligieux au nigéria.
the centre is jointly run by dr. pastor james movel wuye and dr. imam ashafa who have a wealth of knowledge and experience dealing with inter-religious conflict in nigeria.

dans ce cas, un module 27 stocke dans une mémoire de type premier entré - premier sorti (fifo) les l valeurs les plus récentes de l'énergie e 2 n . du signal débruité dans chaque bande j, sur une fenêtre glissante représentant par exemple de l'ordre de 20 trames, et délivre les énergies minimales e2 m ,n = min e2 ιn _k ,j sur cette fenêtre (étape 270 de la figure 8) dans chaque bande, cette énergie minimale e 2mιn , sert de minorant pour le module 28 de contrôle de l'automate de détection, qui utilise une mesure m. donnée par m j (étape 280) l'automate peut être un simple automate binaire utilisant un seuil a., dépendant éventuellement de la bande considérée si m > a., le bit de sortie δ n . du détecteur représente un état de silence pour la bande j, et si m. #include "private.h" /* * * private * */ word32 power ( ordlβ module, wordlβ beta, wordlβ thd, wordlβ val) ; /* a_priori_signal_power */ void a_priori_signal_power /* in */ wordlβ *e, ordlβ *internal_state, wordlβ *max_noise, w ordlβ *long_term_noise, ordlβ *frequential_scale, /* in&out */ wordlβ *alpha, /* out */ ord32 *p1, ord32 *p2 ) { int vad; for(vad = 0; vad = 0) { alpha [subband] = 0x7fff; movelβo; alpha_long_term = long_term_noise [subband] ; movelβo; } else if (sub (max_noise [subband] , long_term_noise [subban d]) #include "private.h" #include "simutool.h" /* * * private * */ #define delta_p (1.6 * 1024] #define d_noise (.2 * 1024) #define d_signal (.2 * 1024) #define snr_signal (.5 * 1024) #define snr noise (.2 * 1024) '* * * voice_activity_detector */ void voice_activity_detector ( /* in */ ord32 *p1, ord32 *p2, ordlβ frame_counter, /* in&out */ ord32 *pls, word32 *p2s, ordlβ *internal_state, /* out */ wordlβ *state ) { int vad; int signal; int noise; signal = 0; movelβo; noise = 1; movelβo; for (vad = 0; vad 0) { wordlβ hil, loi; ordlβ hi2, lo2; l_extract (l_sub(pl[vad] , pis [vad] ) , &hil, &lol) ; • l_extract (l_sub (p2 [vad] , p2s [vad] ) , &hi2, &lo2); test () ; if (sub (sub (logp2, logp2s), delta_p) = 0) { fo (vad = 0; vad < param. vad_number; vad++) { internal_state[vad] = signal; movelβo; } *state ≈ signal; movelβo; } } else if(noise != 0) { *state = noise; movel6()
of course, the comparisons could pertain to a monotonic function of these energies, for example a logarithm, or to a quantity having similar behavior to the energies according to voice activity (for example the power). appendix 1 /******************************************************************* ****** * description * ----------- * nss module: * signal power before vad * ******************************************************************* ******/ /*------------------------------------------------------------------ -----* * included files *------------------------------------------------------------------ -----*/ #include #include “private.h” /*------------------------------------------------------------------ -----* * private *------------------------------------------------------------------ -----*/ word32 power(word16 module, word16 beta, word16 thd, word16 val); /*------------------------------------------------------------------ -----* * a_priori_signal_power *------------------------------------------------------------------ -----*/ void a_priori_signal_power ( /* in */ word16 *e, word16 *internal_state, word16 *max_noise, word16 *long_term_noise, word16 *frequential_scale, /* in&out */ word16 *alpha, /* out */ word32 *p1, word32 *p2 ) { int vad; for(vad = 0; vad = 0) { alpha[subband] = 0×7fff; move16(); alpha_long_term = long_term_noise[subband]; move16(); } else if(sub(max_noise[subband], long_term_noise[subban d]) #include “private-h” #include “simutool.h” /*------------------------------------------------------------------ -----* * private *------------------------------------------------------------------ -----*/ #define delta_p (1.6 * 1024) #define d_noise (.2 * 1024) #define d_signal (.2 * 1024) #define snr_signal (.5 * 1024) #define snr_noise (.2 * 1024) /*------------------------------------------------------------------ -----* * voice_activity_detector /*------------------------------------------------------------------ -----*/ void voice_activity_detector { /* in */ word32 *p1, word32 *p2, word16 frame_counter, /* in&out */ word32 *p1s, word32 *p2s, word16 *internal_state, /* out */ word16 *state } { int vad; int signal; int noise; signal = 0; move16(); noise = 1; move16(); for(vad = 0; vad 0) { word16 hi1, lo1; word16 hi2, lo2; l_extract(l_sub(p1[vad], p1s[vad]), &hi1, &lo1); l_extract(l_sub(p2[vad], p2s[vad]), &hi2, &lo2); test(); if(sub(sub{logp2, logp2s}, delta_p) = 0) { for(vad = 0; vad < param.vad_number; vad++) { internal_state[vad] = signal; move16(); } *state = signal; move16(); } } else if(noise != 0) { *state = noise; move16(); }