FreeCalypso > hg > gsm-codec-lib

annotate libgsmefr/pitch_f6.c @ 183:452c1d5a6268

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libgsmefr BFI w/o data: emit zero output after decoder reset In real-life usage, each EFR decoder session will most likely begin with lots of BFI frames before the first real frame arrives. However, because the spec-defined home state of the decoder is speech rather than CN, our regular logic for BFI w/o data would have to feed pseudorandom noise to the decoder (in the "fixed codebook excitation pulses" part), which is silly to do at the beginning of the decoder session right out of reset. Therefore, let's check reset_flag_old, and if we are still in the reset state, simply emit zero output.
author Mychaela Falconia <falcon@freecalypso.org>
date Tue, 03 Jan 2023 00:12:18 +0000
parents e0e53bfe1a8a
children d714168fb6dc
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1 /*************************************************************************
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2 *
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3 * FUNCTION: Pitch_fr6()
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4 *
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5 * PURPOSE: Find the pitch period with 1/6 subsample resolution (closed loop).
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6 *
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7 * DESCRIPTION:
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8 * - find the normalized correlation between the target and filtered
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9 * past excitation in the search range.
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10 * - select the delay with maximum normalized correlation.
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11 * - interpolate the normalized correlation at fractions -3/6 to 3/6
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12 * with step 1/6 around the chosen delay.
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13 * - The fraction which gives the maximum interpolated value is chosen.
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14 *
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15 *************************************************************************/
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16
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17 #include "gsm_efr.h"
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18 #include "typedef.h"
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19 #include "namespace.h"
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20 #include "basic_op.h"
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21 #include "oper_32b.h"
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22 #include "no_count.h"
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23 #include "sig_proc.h"
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24 #include "codec.h"
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25
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26 /* L_inter = Length for fractional interpolation = nb.coeff/2 */
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28 #define L_inter 4
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29
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30 /* Local functions */
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31
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32 static void Norm_Corr (Word16 exc[], Word16 xn[], Word16 h[], Word16 L_subfr,
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33 Word16 t_min, Word16 t_max, Word16 corr_norm[]);
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34
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35 Word16 Pitch_fr6 ( /* (o) : pitch period. */
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36 Word16 exc[], /* (i) : excitation buffer */
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37 Word16 xn[], /* (i) : target vector */
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38 Word16 h[], /* (i) : impulse response of synthesis and
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39 weighting filters */
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40 Word16 L_subfr, /* (i) : Length of subframe */
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41 Word16 t0_min, /* (i) : minimum value in the searched range. */
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42 Word16 t0_max, /* (i) : maximum value in the searched range. */
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43 Word16 i_subfr, /* (i) : indicator for first subframe. */
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44 Word16 *pit_frac /* (o) : chosen fraction. */
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45 )
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46 {
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47 Word16 i;
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48 Word16 t_min, t_max;
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49 Word16 max, lag, frac;
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50 Word16 *corr;
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51 Word16 corr_int;
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52 Word16 corr_v[40]; /* Total length = t0_max-t0_min+1+2*L_inter */
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54 /* Find interval to compute normalized correlation */
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56 t_min = sub (t0_min, L_inter);
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57 t_max = add (t0_max, L_inter);
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59 corr = &corr_v[-t_min]; move16 ();
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61 /* Compute normalized correlation between target and filtered excitation */
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63 Norm_Corr (exc, xn, h, L_subfr, t_min, t_max, corr);
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64
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65 /* Find integer pitch */
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66
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67 max = corr[t0_min]; move16 ();
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68 lag = t0_min; move16 ();
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69
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70 for (i = t0_min + 1; i <= t0_max; i++)
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71 {
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72 test ();
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73 if (sub (corr[i], max) >= 0)
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74 {
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75 max = corr[i]; move16 ();
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76 lag = i; move16 ();
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77 }
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78 }
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80 /* If first subframe and lag > 94 do not search fractional pitch */
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81
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82 test (); test ();
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83 if ((i_subfr == 0) && (sub (lag, 94) > 0))
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84 {
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85 *pit_frac = 0; move16 ();
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86 return (lag);
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87 }
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88 /* Test the fractions around T0 and choose the one which maximizes */
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89 /* the interpolated normalized correlation. */
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90
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91 max = Interpol_6 (&corr[lag], -3);
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92 frac = -3; move16 ();
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93
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94 for (i = -2; i <= 3; i++)
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95 {
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96 corr_int = Interpol_6 (&corr[lag], i); move16 ();
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97 test ();
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98 if (sub (corr_int, max) > 0)
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99 {
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100 max = corr_int; move16 ();
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101 frac = i; move16 ();
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102 }
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103 }
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104
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105 /* Limit the fraction value in the interval [-2,-1,0,1,2,3] */
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106
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107 test ();
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108 if (sub (frac, -3) == 0)
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109 {
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110 frac = 3; move16 ();
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111 lag = sub (lag, 1);
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112 }
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113 *pit_frac = frac; move16 ();
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114
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115 return (lag);
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116 }
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117
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118 /*************************************************************************
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119 *
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120 * FUNCTION: Norm_Corr()
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121 *
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122 * PURPOSE: Find the normalized correlation between the target vector
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123 * and the filtered past excitation.
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124 *
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125 * DESCRIPTION:
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126 * The normalized correlation is given by the correlation between the
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127 * target and filtered past excitation divided by the square root of
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128 * the energy of filtered excitation.
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129 * corr[k] = <x[], y_k[]>/sqrt(y_k[],y_k[])
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130 * where x[] is the target vector and y_k[] is the filtered past
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131 * excitation at delay k.
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132 *
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133 *************************************************************************/
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134
81
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135 static void
53
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136 Norm_Corr (Word16 exc[], Word16 xn[], Word16 h[], Word16 L_subfr,
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137 Word16 t_min, Word16 t_max, Word16 corr_norm[])
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138 {
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139 Word16 i, j, k;
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140 Word16 corr_h, corr_l, norm_h, norm_l;
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141 Word32 s;
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142
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143 /* Usally dynamic allocation of (L_subfr) */
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144 Word16 excf[80];
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145 Word16 scaling, h_fac, *s_excf, scaled_excf[80];
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146
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147 k = -t_min; move16 ();
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148
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149 /* compute the filtered excitation for the first delay t_min */
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150
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151 Convolve (&exc[k], h, excf, L_subfr);
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152
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153 /* scale "excf[]" to avoid overflow */
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154
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155 for (j = 0; j < L_subfr; j++)
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156 {
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157 scaled_excf[j] = shr (excf[j], 2); move16 ();
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158 }
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159
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160 /* Compute 1/sqrt(energy of excf[]) */
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161
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162 s = 0; move32 ();
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163 for (j = 0; j < L_subfr; j++)
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164 {
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165 s = L_mac (s, excf[j], excf[j]);
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166 }
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167 test ();
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168 if (L_sub (s, 67108864L) <= 0) /* if (s <= 2^26) */
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169 {
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170 s_excf = excf; move16 ();
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171 h_fac = 15 - 12; move16 ();
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172 scaling = 0; move16 ();
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173 }
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174 else
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175 {
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176 /* "excf[]" is divided by 2 */
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177 s_excf = scaled_excf; move16 ();
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178 h_fac = 15 - 12 - 2; move16 ();
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179 scaling = 2; move16 ();
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180 }
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181
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182 /* loop for every possible period */
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183
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184 for (i = t_min; i <= t_max; i++)
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185 {
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186 /* Compute 1/sqrt(energy of excf[]) */
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187
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188 s = 0; move32 ();
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189 for (j = 0; j < L_subfr; j++)
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190 {
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191 s = L_mac (s, s_excf[j], s_excf[j]);
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192 }
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193
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194 s = Inv_sqrt (s); move16 ();
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195 L_Extract (s, &norm_h, &norm_l);
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196
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197 /* Compute correlation between xn[] and excf[] */
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198
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199 s = 0; move32 ();
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200 for (j = 0; j < L_subfr; j++)
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201 {
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202 s = L_mac (s, xn[j], s_excf[j]);
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203 }
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204 L_Extract (s, &corr_h, &corr_l);
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205
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206 /* Normalize correlation = correlation * (1/sqrt(energy)) */
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207
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208 s = Mpy_32 (corr_h, corr_l, norm_h, norm_l);
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209
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210 corr_norm[i] = extract_h (L_shl (s, 16));
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211 move16 ();
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212
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213 /* modify the filtered excitation excf[] for the next iteration */
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214
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215 test ();
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216 if (sub (i, t_max) != 0)
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217 {
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218 k--;
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219 for (j = L_subfr - 1; j > 0; j--)
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220 {
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221 s = L_mult (exc[k], h[j]);
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222 s = L_shl (s, h_fac);
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223 s_excf[j] = add (extract_h (s), s_excf[j - 1]); move16 ();
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224 }
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225 s_excf[0] = shr (exc[k], scaling); move16 ();
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226 }
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227 }
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228 return;
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229 }