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LuaCsForBarotraumaEP/Libraries/Concentus/CSharp/Concentus/Silk/NoiseShapeAnalysis.cs
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/* Copyright (c) 2006-2011 Skype Limited. All Rights Reserved
Ported to C# by Logan Stromberg
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of Internet Society, IETF or IETF Trust, nor the
names of specific contributors, may be used to endorse or promote
products derived from this software without specific prior written
permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
namespace Concentus.Silk
{
using Concentus.Common;
using Concentus.Common.CPlusPlus;
using Concentus.Silk.Enums;
using Concentus.Silk.Structs;
using System;
using System.Diagnostics;
internal static class NoiseShapeAnalysis
{
/* Compute gain to make warped filter coefficients have a zero mean log frequency response on a */
/* non-warped frequency scale. (So that it can be implemented with a minimum-phase monic filter.) */
/* Note: A monic filter is one with the first coefficient equal to 1.0. In Silk we omit the first */
/* coefficient in an array of coefficients, for monic filters. */
internal static int warped_gain( /* gain in Q16*/
int[] coefs_Q24,
int lambda_Q16,
int order
)
{
int i;
int gain_Q24;
lambda_Q16 = -lambda_Q16;
gain_Q24 = coefs_Q24[order - 1];
for (i = order - 2; i >= 0; i--)
{
gain_Q24 = Inlines.silk_SMLAWB(coefs_Q24[i], gain_Q24, lambda_Q16);
}
gain_Q24 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(1.0f, 24)*/, gain_Q24, -lambda_Q16);
return Inlines.silk_INVERSE32_varQ(gain_Q24, 40);
}
/* Convert warped filter coefficients to monic pseudo-warped coefficients and limit maximum */
/* amplitude of monic warped coefficients by using bandwidth expansion on the true coefficients */
internal static void limit_warped_coefs(
int[] coefs_syn_Q24,
int[] coefs_ana_Q24,
int lambda_Q16,
int limit_Q24,
int order
)
{
int i, iter, ind = 0;
int tmp, maxabs_Q24, chirp_Q16, gain_syn_Q16, gain_ana_Q16;
int nom_Q16, den_Q24;
/* Convert to monic coefficients */
lambda_Q16 = -lambda_Q16;
for (i = order - 1; i > 0; i--)
{
coefs_syn_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_syn_Q24[i - 1], coefs_syn_Q24[i], lambda_Q16);
coefs_ana_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_ana_Q24[i - 1], coefs_ana_Q24[i], lambda_Q16);
}
lambda_Q16 = -lambda_Q16;
nom_Q16 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/, -(int)lambda_Q16, lambda_Q16);
den_Q24 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(1.0f, 24)*/, coefs_syn_Q24[0], lambda_Q16);
gain_syn_Q16 = Inlines.silk_DIV32_varQ(nom_Q16, den_Q24, 24);
den_Q24 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(1.0f, 24)*/, coefs_ana_Q24[0], lambda_Q16);
gain_ana_Q16 = Inlines.silk_DIV32_varQ(nom_Q16, den_Q24, 24);
for (i = 0; i < order; i++)
{
coefs_syn_Q24[i] = Inlines.silk_SMULWW(gain_syn_Q16, coefs_syn_Q24[i]);
coefs_ana_Q24[i] = Inlines.silk_SMULWW(gain_ana_Q16, coefs_ana_Q24[i]);
}
for (iter = 0; iter < 10; iter++)
{
/* Find maximum absolute value */
maxabs_Q24 = -1;
for (i = 0; i < order; i++)
{
tmp = Inlines.silk_max(Inlines.silk_abs_int32(coefs_syn_Q24[i]), Inlines.silk_abs_int32(coefs_ana_Q24[i]));
if (tmp > maxabs_Q24)
{
maxabs_Q24 = tmp;
ind = i;
}
}
if (maxabs_Q24 <= limit_Q24)
{
/* Coefficients are within range - done */
return;
}
/* Convert back to true warped coefficients */
for (i = 1; i < order; i++)
{
coefs_syn_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_syn_Q24[i - 1], coefs_syn_Q24[i], lambda_Q16);
coefs_ana_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_ana_Q24[i - 1], coefs_ana_Q24[i], lambda_Q16);
}
gain_syn_Q16 = Inlines.silk_INVERSE32_varQ(gain_syn_Q16, 32);
gain_ana_Q16 = Inlines.silk_INVERSE32_varQ(gain_ana_Q16, 32);
for (i = 0; i < order; i++)
{
coefs_syn_Q24[i] = Inlines.silk_SMULWW(gain_syn_Q16, coefs_syn_Q24[i]);
coefs_ana_Q24[i] = Inlines.silk_SMULWW(gain_ana_Q16, coefs_ana_Q24[i]);
}
/* Apply bandwidth expansion */
chirp_Q16 = ((int)((0.99f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(0.99f, 16)*/ - Inlines.silk_DIV32_varQ(
Inlines.silk_SMULWB(maxabs_Q24 - limit_Q24, Inlines.silk_SMLABB(((int)((0.8f) * ((long)1 << (10)) + 0.5))/*Inlines.SILK_CONST(0.8f, 10)*/, ((int)((0.1f) * ((long)1 << (10)) + 0.5))/*Inlines.SILK_CONST(0.1f, 10)*/, iter)),
Inlines.silk_MUL(maxabs_Q24, ind + 1), 22);
BWExpander.silk_bwexpander_32(coefs_syn_Q24, order, chirp_Q16);
BWExpander.silk_bwexpander_32(coefs_ana_Q24, order, chirp_Q16);
/* Convert to monic warped coefficients */
lambda_Q16 = -lambda_Q16;
for (i = order - 1; i > 0; i--)
{
coefs_syn_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_syn_Q24[i - 1], coefs_syn_Q24[i], lambda_Q16);
coefs_ana_Q24[i - 1] = Inlines.silk_SMLAWB(coefs_ana_Q24[i - 1], coefs_ana_Q24[i], lambda_Q16);
}
lambda_Q16 = -lambda_Q16;
nom_Q16 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/, -(int)lambda_Q16, lambda_Q16);
den_Q24 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(1.0f, 24)*/, coefs_syn_Q24[0], lambda_Q16);
gain_syn_Q16 = Inlines.silk_DIV32_varQ(nom_Q16, den_Q24, 24);
den_Q24 = Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(1.0f, 24)*/, coefs_ana_Q24[0], lambda_Q16);
gain_ana_Q16 = Inlines.silk_DIV32_varQ(nom_Q16, den_Q24, 24);
for (i = 0; i < order; i++)
{
coefs_syn_Q24[i] = Inlines.silk_SMULWW(gain_syn_Q16, coefs_syn_Q24[i]);
coefs_ana_Q24[i] = Inlines.silk_SMULWW(gain_ana_Q16, coefs_ana_Q24[i]);
}
}
Inlines.OpusAssert(false);
}
/**************************************************************/
/* Compute noise shaping coefficients and initial gain values */
/**************************************************************/
internal static void silk_noise_shape_analysis(
SilkChannelEncoder psEnc, /* I/O Encoder state FIX */
SilkEncoderControl psEncCtrl, /* I/O Encoder control FIX */
short[] pitch_res, /* I LPC residual from pitch analysis */
int pitch_res_ptr,
short[] x, /* I Input signal [ frame_length + la_shape ] */
int x_ptr
)
{
SilkShapeState psShapeSt = psEnc.sShape;
int k, i, nSamples, Qnrg, b_Q14, warping_Q16, scale = 0;
int SNR_adj_dB_Q7, HarmBoost_Q16, HarmShapeGain_Q16, Tilt_Q16, tmp32;
int nrg, pre_nrg_Q30, log_energy_Q7, log_energy_prev_Q7, energy_variation_Q7;
int delta_Q16, BWExp1_Q16, BWExp2_Q16, gain_mult_Q16, gain_add_Q16, strength_Q16, b_Q8;
int[] auto_corr = new int[SilkConstants.MAX_SHAPE_LPC_ORDER + 1];
int[] refl_coef_Q16 = new int[SilkConstants.MAX_SHAPE_LPC_ORDER];
int[] AR1_Q24 = new int[SilkConstants.MAX_SHAPE_LPC_ORDER];
int[] AR2_Q24 = new int[SilkConstants.MAX_SHAPE_LPC_ORDER];
short[] x_windowed;
int pitch_res_ptr2;
int x_ptr2;
/* Point to start of first LPC analysis block */
x_ptr2 = x_ptr - psEnc.la_shape;
/****************/
/* GAIN CONTROL */
/****************/
SNR_adj_dB_Q7 = psEnc.SNR_dB_Q7;
/* Input quality is the average of the quality in the lowest two VAD bands */
psEncCtrl.input_quality_Q14 = (int)Inlines.silk_RSHIFT((int)psEnc.input_quality_bands_Q15[0]
+ psEnc.input_quality_bands_Q15[1], 2);
/* Coding quality level, between 0.0_Q0 and 1.0_Q0, but in Q14 */
psEncCtrl.coding_quality_Q14 = Inlines.silk_RSHIFT(Sigmoid.silk_sigm_Q15(Inlines.silk_RSHIFT_ROUND(SNR_adj_dB_Q7 -
((int)((20.0f) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(20.0f, 7)*/, 4)), 1);
/* Reduce coding SNR during low speech activity */
if (psEnc.useCBR == 0)
{
b_Q8 = ((int)((1.0f) * ((long)1 << (8)) + 0.5))/*Inlines.SILK_CONST(1.0f, 8)*/ - psEnc.speech_activity_Q8;
b_Q8 = Inlines.silk_SMULWB(Inlines.silk_LSHIFT(b_Q8, 8), b_Q8);
SNR_adj_dB_Q7 = Inlines.silk_SMLAWB(SNR_adj_dB_Q7,
Inlines.silk_SMULBB(((int)((0 - TuningParameters.BG_SNR_DECR_dB) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(0 - TuningParameters.BG_SNR_DECR_dB, 7)*/ >> (4 + 1), b_Q8), /* Q11*/
Inlines.silk_SMULWB(((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/ + psEncCtrl.input_quality_Q14, psEncCtrl.coding_quality_Q14)); /* Q12*/
}
if (psEnc.indices.signalType == SilkConstants.TYPE_VOICED)
{
/* Reduce gains for periodic signals */
SNR_adj_dB_Q7 = Inlines.silk_SMLAWB(SNR_adj_dB_Q7, ((int)((TuningParameters.HARM_SNR_INCR_dB) * ((long)1 << (8)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HARM_SNR_INCR_dB, 8)*/, psEnc.LTPCorr_Q15);
}
else {
/* For unvoiced signals and low-quality input, adjust the quality slower than SNR_dB setting */
SNR_adj_dB_Q7 = Inlines.silk_SMLAWB(SNR_adj_dB_Q7,
Inlines.silk_SMLAWB(((int)((6.0f) * ((long)1 << (9)) + 0.5))/*Inlines.SILK_CONST(6.0f, 9)*/, -((int)((0.4f) * ((long)1 << (18)) + 0.5))/*Inlines.SILK_CONST(0.4f, 18)*/, psEnc.SNR_dB_Q7),
((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/ - psEncCtrl.input_quality_Q14);
}
/*************************/
/* SPARSENESS PROCESSING */
/*************************/
/* Set quantizer offset */
if (psEnc.indices.signalType == SilkConstants.TYPE_VOICED)
{
/* Initially set to 0; may be overruled in process_gains(..) */
psEnc.indices.quantOffsetType = 0;
psEncCtrl.sparseness_Q8 = 0;
}
else {
/* Sparseness measure, based on relative fluctuations of energy per 2 milliseconds */
nSamples = Inlines.silk_LSHIFT(psEnc.fs_kHz, 1);
energy_variation_Q7 = 0;
log_energy_prev_Q7 = 0;
pitch_res_ptr2 = pitch_res_ptr;
for (k = 0; k < Inlines.silk_SMULBB(SilkConstants.SUB_FRAME_LENGTH_MS, psEnc.nb_subfr) / 2; k++)
{
SumSqrShift.silk_sum_sqr_shift(out nrg, out scale, pitch_res, pitch_res_ptr2, nSamples);
nrg += Inlines.silk_RSHIFT(nSamples, scale); /* Q(-scale)*/
log_energy_Q7 = Inlines.silk_lin2log(nrg);
if (k > 0)
{
energy_variation_Q7 += Inlines.silk_abs(log_energy_Q7 - log_energy_prev_Q7);
}
log_energy_prev_Q7 = log_energy_Q7;
pitch_res_ptr2 += nSamples;
}
psEncCtrl.sparseness_Q8 = Inlines.silk_RSHIFT(Sigmoid.silk_sigm_Q15(Inlines.silk_SMULWB(energy_variation_Q7 -
((int)((5.0f) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(5.0f, 7)*/, ((int)((0.1f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(0.1f, 16)*/)), 7);
/* Set quantization offset depending on sparseness measure */
if (psEncCtrl.sparseness_Q8 > ((int)((TuningParameters.SPARSENESS_THRESHOLD_QNT_OFFSET) * ((long)1 << (8)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SPARSENESS_THRESHOLD_QNT_OFFSET, 8)*/)
{
psEnc.indices.quantOffsetType = 0;
}
else {
psEnc.indices.quantOffsetType = 1;
}
/* Increase coding SNR for sparse signals */
SNR_adj_dB_Q7 = Inlines.silk_SMLAWB(SNR_adj_dB_Q7, ((int)((TuningParameters.SPARSE_SNR_INCR_dB) * ((long)1 << (15)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SPARSE_SNR_INCR_dB, 15)*/, psEncCtrl.sparseness_Q8 - ((int)((0.5f) * ((long)1 << (8)) + 0.5))/*Inlines.SILK_CONST(0.5f, 8)*/);
}
/*******************************/
/* Control bandwidth expansion */
/*******************************/
/* More BWE for signals with high prediction gain */
strength_Q16 = Inlines.silk_SMULWB(psEncCtrl.predGain_Q16, ((int)((TuningParameters.FIND_PITCH_WHITE_NOISE_FRACTION) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.FIND_PITCH_WHITE_NOISE_FRACTION, 16)*/);
BWExp1_Q16 = BWExp2_Q16 = Inlines.silk_DIV32_varQ(((int)((TuningParameters.BANDWIDTH_EXPANSION) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.BANDWIDTH_EXPANSION, 16)*/,
Inlines.silk_SMLAWW(((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/, strength_Q16, strength_Q16), 16);
delta_Q16 = Inlines.silk_SMULWB(((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/ - Inlines.silk_SMULBB(3, psEncCtrl.coding_quality_Q14),
((int)((TuningParameters.LOW_RATE_BANDWIDTH_EXPANSION_DELTA) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LOW_RATE_BANDWIDTH_EXPANSION_DELTA, 16)*/);
BWExp1_Q16 = Inlines.silk_SUB32(BWExp1_Q16, delta_Q16);
BWExp2_Q16 = Inlines.silk_ADD32(BWExp2_Q16, delta_Q16);
/* BWExp1 will be applied after BWExp2, so make it relative */
BWExp1_Q16 = Inlines.silk_DIV32_16(Inlines.silk_LSHIFT(BWExp1_Q16, 14), Inlines.silk_RSHIFT(BWExp2_Q16, 2));
if (psEnc.warping_Q16 > 0)
{
/* Slightly more warping in analysis will move quantization noise up in frequency, where it's better masked */
warping_Q16 = Inlines.silk_SMLAWB(psEnc.warping_Q16, (int)psEncCtrl.coding_quality_Q14, ((int)((0.01f) * ((long)1 << (18)) + 0.5))/*Inlines.SILK_CONST(0.01f, 18)*/);
}
else {
warping_Q16 = 0;
}
/********************************************/
/* Compute noise shaping AR coefs and gains */
/********************************************/
x_windowed = new short[psEnc.shapeWinLength];
for (k = 0; k < psEnc.nb_subfr; k++)
{
/* Apply window: sine slope followed by flat part followed by cosine slope */
int shift, slope_part, flat_part;
flat_part = psEnc.fs_kHz * 3;
slope_part = Inlines.silk_RSHIFT(psEnc.shapeWinLength - flat_part, 1);
ApplySineWindow.silk_apply_sine_window(x_windowed, 0, x, x_ptr2, 1, slope_part);
shift = slope_part;
Array.Copy(x, x_ptr2 + shift, x_windowed, shift, flat_part);
shift += flat_part;
ApplySineWindow.silk_apply_sine_window(x_windowed, shift, x, x_ptr2 + shift, 2, slope_part);
/* Update pointer: next LPC analysis block */
x_ptr2 += psEnc.subfr_length;
BoxedValueInt scale_boxed = new BoxedValueInt(scale);
if (psEnc.warping_Q16 > 0)
{
/* Calculate warped auto correlation */
Autocorrelation.silk_warped_autocorrelation(auto_corr, scale_boxed, x_windowed, warping_Q16, psEnc.shapeWinLength, psEnc.shapingLPCOrder);
}
else {
/* Calculate regular auto correlation */
Autocorrelation.silk_autocorr(auto_corr, scale_boxed, x_windowed, psEnc.shapeWinLength, psEnc.shapingLPCOrder + 1);
}
scale = scale_boxed.Val;
/* Add white noise, as a fraction of energy */
auto_corr[0] = Inlines.silk_ADD32(auto_corr[0], Inlines.silk_max_32(Inlines.silk_SMULWB(Inlines.silk_RSHIFT(auto_corr[0], 4),
((int)((TuningParameters.SHAPE_WHITE_NOISE_FRACTION) * ((long)1 << (20)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SHAPE_WHITE_NOISE_FRACTION, 20)*/), 1));
/* Calculate the reflection coefficients using schur */
nrg = Schur.silk_schur64(refl_coef_Q16, auto_corr, psEnc.shapingLPCOrder);
Inlines.OpusAssert(nrg >= 0);
/* Convert reflection coefficients to prediction coefficients */
K2A.silk_k2a_Q16(AR2_Q24, refl_coef_Q16, psEnc.shapingLPCOrder);
Qnrg = -scale; /* range: -12...30*/
Inlines.OpusAssert(Qnrg >= -12);
Inlines.OpusAssert(Qnrg <= 30);
/* Make sure that Qnrg is an even number */
if ((Qnrg & 1) != 0)
{
Qnrg -= 1;
nrg >>= 1;
}
tmp32 = Inlines.silk_SQRT_APPROX(nrg);
Qnrg >>= 1; /* range: -6...15*/
psEncCtrl.Gains_Q16[k] = Inlines.silk_LSHIFT_SAT32(tmp32, 16 - Qnrg);
if (psEnc.warping_Q16 > 0)
{
/* Adjust gain for warping */
gain_mult_Q16 = warped_gain(AR2_Q24, warping_Q16, psEnc.shapingLPCOrder);
Inlines.OpusAssert(psEncCtrl.Gains_Q16[k] >= 0);
if (Inlines.silk_SMULWW(Inlines.silk_RSHIFT_ROUND(psEncCtrl.Gains_Q16[k], 1), gain_mult_Q16) >= (int.MaxValue >> 1))
{
psEncCtrl.Gains_Q16[k] = int.MaxValue;
}
else {
psEncCtrl.Gains_Q16[k] = Inlines.silk_SMULWW(psEncCtrl.Gains_Q16[k], gain_mult_Q16);
}
}
/* Bandwidth expansion for synthesis filter shaping */
BWExpander.silk_bwexpander_32(AR2_Q24, psEnc.shapingLPCOrder, BWExp2_Q16);
/* Compute noise shaping filter coefficients */
Array.Copy(AR2_Q24, AR1_Q24, psEnc.shapingLPCOrder);
/* Bandwidth expansion for analysis filter shaping */
Inlines.OpusAssert(BWExp1_Q16 <= ((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/);
BWExpander.silk_bwexpander_32(AR1_Q24, psEnc.shapingLPCOrder, BWExp1_Q16);
/* Ratio of prediction gains, in energy domain */
pre_nrg_Q30 = LPCInversePredGain.silk_LPC_inverse_pred_gain_Q24(AR2_Q24, psEnc.shapingLPCOrder);
nrg = LPCInversePredGain.silk_LPC_inverse_pred_gain_Q24(AR1_Q24, psEnc.shapingLPCOrder);
/*psEncCtrl.GainsPre[ k ] = 1.0f - 0.7f * ( 1.0f - pre_nrg / nrg ) = 0.3f + 0.7f * pre_nrg / nrg;*/
pre_nrg_Q30 = Inlines.silk_LSHIFT32(Inlines.silk_SMULWB(pre_nrg_Q30, ((int)((0.7f) * ((long)1 << (15)) + 0.5))/*Inlines.SILK_CONST(0.7f, 15)*/), 1);
psEncCtrl.GainsPre_Q14[k] = (int)((int)((0.3f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(0.3f, 14)*/ + Inlines.silk_DIV32_varQ(pre_nrg_Q30, nrg, 14);
/* Convert to monic warped prediction coefficients and limit absolute values */
limit_warped_coefs(AR2_Q24, AR1_Q24, warping_Q16, ((int)((3.999f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(3.999f, 24)*/, psEnc.shapingLPCOrder);
/* Convert from Q24 to Q13 and store in int16 */
for (i = 0; i < psEnc.shapingLPCOrder; i++)
{
psEncCtrl.AR1_Q13[k * SilkConstants.MAX_SHAPE_LPC_ORDER + i] = (short)Inlines.silk_SAT16(Inlines.silk_RSHIFT_ROUND(AR1_Q24[i], 11));
psEncCtrl.AR2_Q13[k * SilkConstants.MAX_SHAPE_LPC_ORDER + i] = (short)Inlines.silk_SAT16(Inlines.silk_RSHIFT_ROUND(AR2_Q24[i], 11));
}
}
/*****************/
/* Gain tweaking */
/*****************/
/* Increase gains during low speech activity and put lower limit on gains */
gain_mult_Q16 = Inlines.silk_log2lin(-Inlines.silk_SMLAWB(-((int)((16.0f) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(16.0f, 7)*/, SNR_adj_dB_Q7, ((int)((0.16f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(0.16f, 16)*/));
gain_add_Q16 = Inlines.silk_log2lin(Inlines.silk_SMLAWB(((int)((16.0f) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(16.0f, 7)*/, ((int)((SilkConstants.MIN_QGAIN_DB) * ((long)1 << (7)) + 0.5))/*Inlines.SILK_CONST(SilkConstants.MIN_QGAIN_DB, 7)*/, ((int)((0.16f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(0.16f, 16)*/));
Inlines.OpusAssert(gain_mult_Q16 > 0);
for (k = 0; k < psEnc.nb_subfr; k++)
{
psEncCtrl.Gains_Q16[k] = Inlines.silk_SMULWW(psEncCtrl.Gains_Q16[k], gain_mult_Q16);
Inlines.OpusAssert(psEncCtrl.Gains_Q16[k] >= 0);
psEncCtrl.Gains_Q16[k] = Inlines.silk_ADD_POS_SAT32(psEncCtrl.Gains_Q16[k], gain_add_Q16);
}
gain_mult_Q16 = ((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/ + Inlines.silk_RSHIFT_ROUND(Inlines.silk_MLA(((int)((TuningParameters.INPUT_TILT) * ((long)1 << (26)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.INPUT_TILT, 26)*/,
psEncCtrl.coding_quality_Q14, ((int)((TuningParameters.HIGH_RATE_INPUT_TILT) * ((long)1 << (12)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HIGH_RATE_INPUT_TILT, 12)*/), 10);
for (k = 0; k < psEnc.nb_subfr; k++)
{
psEncCtrl.GainsPre_Q14[k] = Inlines.silk_SMULWB(gain_mult_Q16, psEncCtrl.GainsPre_Q14[k]);
}
/************************************************/
/* Control low-frequency shaping and noise tilt */
/************************************************/
/* Less low frequency shaping for noisy inputs */
strength_Q16 = Inlines.silk_MUL(((int)((TuningParameters.LOW_FREQ_SHAPING) * ((long)1 << (4)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LOW_FREQ_SHAPING, 4)*/, Inlines.silk_SMLAWB(((int)((1.0f) * ((long)1 << (12)) + 0.5))/*Inlines.SILK_CONST(1.0f, 12)*/,
((int)((TuningParameters.LOW_QUALITY_LOW_FREQ_SHAPING_DECR) * ((long)1 << (13)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LOW_QUALITY_LOW_FREQ_SHAPING_DECR, 13)*/, psEnc.input_quality_bands_Q15[0] - ((int)((1.0f) * ((long)1 << (15)) + 0.5))/*Inlines.SILK_CONST(1.0f, 15)*/));
strength_Q16 = Inlines.silk_RSHIFT(Inlines.silk_MUL(strength_Q16, psEnc.speech_activity_Q8), 8);
if (psEnc.indices.signalType == SilkConstants.TYPE_VOICED)
{
/* Reduce low frequencies quantization noise for periodic signals, depending on pitch lag */
/*f = 400; freqz([1, -0.98 + 2e-4 * f], [1, -0.97 + 7e-4 * f], 2^12, Fs); axis([0, 1000, -10, 1])*/
int fs_kHz_inv = Inlines.silk_DIV32_16(((int)((0.2f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(0.2f, 14)*/, psEnc.fs_kHz);
for (k = 0; k < psEnc.nb_subfr; k++)
{
b_Q14 = fs_kHz_inv + Inlines.silk_DIV32_16(((int)((3.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(3.0f, 14)*/, psEncCtrl.pitchL[k]);
/* Pack two coefficients in one int32 */
psEncCtrl.LF_shp_Q14[k] = Inlines.silk_LSHIFT(((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/ - b_Q14 - Inlines.silk_SMULWB(strength_Q16, b_Q14), 16);
psEncCtrl.LF_shp_Q14[k] |= (b_Q14 - ((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/) & 0xFFFF; // opus bug: again, cast to ushort was done here where bitwise masking was intended
}
Inlines.OpusAssert(((int)((TuningParameters.HARM_HP_NOISE_COEF) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HARM_HP_NOISE_COEF, 24)*/ < ((int)((0.5f) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(0.5f, 24)*/); /* Guarantees that second argument to SMULWB() is within range of an short*/
Tilt_Q16 = -((int)((TuningParameters.HP_NOISE_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HP_NOISE_COEF, 16)*/ -
Inlines.silk_SMULWB(((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/ - ((int)((TuningParameters.HP_NOISE_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HP_NOISE_COEF, 16)*/,
Inlines.silk_SMULWB(((int)((TuningParameters.HARM_HP_NOISE_COEF) * ((long)1 << (24)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HARM_HP_NOISE_COEF, 24)*/, psEnc.speech_activity_Q8));
}
else {
b_Q14 = Inlines.silk_DIV32_16(21299, psEnc.fs_kHz); /* 1.3_Q0 = 21299_Q14*/
/* Pack two coefficients in one int32 */
psEncCtrl.LF_shp_Q14[0] = Inlines.silk_LSHIFT(((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/ - b_Q14 -
Inlines.silk_SMULWB(strength_Q16, Inlines.silk_SMULWB(((int)((0.6f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(0.6f, 16)*/, b_Q14)), 16);
psEncCtrl.LF_shp_Q14[0] |= (b_Q14 - ((int)((1.0f) * ((long)1 << (14)) + 0.5))/*Inlines.SILK_CONST(1.0f, 14)*/) & 0xFFFF; // opus bug: cast to ushort is better expressed as a bitwise operator, otherwise runtime analysis might flag it as an overflow error
for (k = 1; k < psEnc.nb_subfr; k++)
{
psEncCtrl.LF_shp_Q14[k] = psEncCtrl.LF_shp_Q14[0];
}
Tilt_Q16 = -((int)((TuningParameters.HP_NOISE_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HP_NOISE_COEF, 16)*/;
}
/****************************/
/* HARMONIC SHAPING CONTROL */
/****************************/
/* Control boosting of harmonic frequencies */
HarmBoost_Q16 = Inlines.silk_SMULWB(Inlines.silk_SMULWB(((int)((1.0f) * ((long)1 << (17)) + 0.5))/*Inlines.SILK_CONST(1.0f, 17)*/ - Inlines.silk_LSHIFT(psEncCtrl.coding_quality_Q14, 3),
psEnc.LTPCorr_Q15), ((int)((TuningParameters.LOW_RATE_HARMONIC_BOOST) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LOW_RATE_HARMONIC_BOOST, 16)*/);
/* More harmonic boost for noisy input signals */
HarmBoost_Q16 = Inlines.silk_SMLAWB(HarmBoost_Q16,
((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/ - Inlines.silk_LSHIFT(psEncCtrl.input_quality_Q14, 2), ((int)((TuningParameters.LOW_INPUT_QUALITY_HARMONIC_BOOST) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.LOW_INPUT_QUALITY_HARMONIC_BOOST, 16)*/);
if (SilkConstants.USE_HARM_SHAPING != 0 && psEnc.indices.signalType == SilkConstants.TYPE_VOICED)
{
/* More harmonic noise shaping for high bitrates or noisy input */
HarmShapeGain_Q16 = Inlines.silk_SMLAWB(((int)((TuningParameters.HARMONIC_SHAPING) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HARMONIC_SHAPING, 16)*/,
((int)((1.0f) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(1.0f, 16)*/ - Inlines.silk_SMULWB(((int)((1.0f) * ((long)1 << (18)) + 0.5))/*Inlines.SILK_CONST(1.0f, 18)*/ - Inlines.silk_LSHIFT(psEncCtrl.coding_quality_Q14, 4),
psEncCtrl.input_quality_Q14), ((int)((TuningParameters.HIGH_RATE_OR_LOW_QUALITY_HARMONIC_SHAPING) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.HIGH_RATE_OR_LOW_QUALITY_HARMONIC_SHAPING, 16)*/);
/* Less harmonic noise shaping for less periodic signals */
HarmShapeGain_Q16 = Inlines.silk_SMULWB(Inlines.silk_LSHIFT(HarmShapeGain_Q16, 1),
Inlines.silk_SQRT_APPROX(Inlines.silk_LSHIFT(psEnc.LTPCorr_Q15, 15)));
}
else {
HarmShapeGain_Q16 = 0;
}
/*************************/
/* Smooth over subframes */
/*************************/
for (k = 0; k < SilkConstants.MAX_NB_SUBFR; k++)
{
psShapeSt.HarmBoost_smth_Q16 =
Inlines.silk_SMLAWB(psShapeSt.HarmBoost_smth_Q16, HarmBoost_Q16 - psShapeSt.HarmBoost_smth_Q16, ((int)((TuningParameters.SUBFR_SMTH_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SUBFR_SMTH_COEF, 16)*/);
psShapeSt.HarmShapeGain_smth_Q16 =
Inlines.silk_SMLAWB(psShapeSt.HarmShapeGain_smth_Q16, HarmShapeGain_Q16 - psShapeSt.HarmShapeGain_smth_Q16, ((int)((TuningParameters.SUBFR_SMTH_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SUBFR_SMTH_COEF, 16)*/);
psShapeSt.Tilt_smth_Q16 =
Inlines.silk_SMLAWB(psShapeSt.Tilt_smth_Q16, Tilt_Q16 - psShapeSt.Tilt_smth_Q16, ((int)((TuningParameters.SUBFR_SMTH_COEF) * ((long)1 << (16)) + 0.5))/*Inlines.SILK_CONST(TuningParameters.SUBFR_SMTH_COEF, 16)*/);
psEncCtrl.HarmBoost_Q14[k] = (int)Inlines.silk_RSHIFT_ROUND(psShapeSt.HarmBoost_smth_Q16, 2);
psEncCtrl.HarmShapeGain_Q14[k] = (int)Inlines.silk_RSHIFT_ROUND(psShapeSt.HarmShapeGain_smth_Q16, 2);
psEncCtrl.Tilt_Q14[k] = (int)Inlines.silk_RSHIFT_ROUND(psShapeSt.Tilt_smth_Q16, 2);
}
}
}
}
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