diff options
Diffstat (limited to 'libs/libopus/silk/fixed/noise_shape_analysis_FIX.c')
-rw-r--r-- | libs/libopus/silk/fixed/noise_shape_analysis_FIX.c | 160 |
1 files changed, 58 insertions, 102 deletions
diff --git a/libs/libopus/silk/fixed/noise_shape_analysis_FIX.c b/libs/libopus/silk/fixed/noise_shape_analysis_FIX.c index 22a89f75a..85fea0bf0 100644 --- a/libs/libopus/silk/fixed/noise_shape_analysis_FIX.c +++ b/libs/libopus/silk/fixed/noise_shape_analysis_FIX.c @@ -57,88 +57,79 @@ static OPUS_INLINE opus_int32 warped_gain( /* gain in Q16*/ /* 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 */ static OPUS_INLINE void limit_warped_coefs( - opus_int32 *coefs_syn_Q24, - opus_int32 *coefs_ana_Q24, + opus_int32 *coefs_Q24, opus_int lambda_Q16, opus_int32 limit_Q24, opus_int order ) { opus_int i, iter, ind = 0; - opus_int32 tmp, maxabs_Q24, chirp_Q16, gain_syn_Q16, gain_ana_Q16; + opus_int32 tmp, maxabs_Q24, chirp_Q16, gain_Q16; opus_int32 nom_Q16, den_Q24; + opus_int32 limit_Q20, maxabs_Q20; /* Convert to monic coefficients */ lambda_Q16 = -lambda_Q16; for( i = order - 1; i > 0; i-- ) { - coefs_syn_Q24[ i - 1 ] = silk_SMLAWB( coefs_syn_Q24[ i - 1 ], coefs_syn_Q24[ i ], lambda_Q16 ); - coefs_ana_Q24[ i - 1 ] = silk_SMLAWB( coefs_ana_Q24[ i - 1 ], coefs_ana_Q24[ i ], lambda_Q16 ); + coefs_Q24[ i - 1 ] = silk_SMLAWB( coefs_Q24[ i - 1 ], coefs_Q24[ i ], lambda_Q16 ); } lambda_Q16 = -lambda_Q16; - nom_Q16 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 16 ), -(opus_int32)lambda_Q16, lambda_Q16 ); - den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_syn_Q24[ 0 ], lambda_Q16 ); - gain_syn_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); - den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_ana_Q24[ 0 ], lambda_Q16 ); - gain_ana_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); + nom_Q16 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 16 ), -(opus_int32)lambda_Q16, lambda_Q16 ); + den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_Q24[ 0 ], lambda_Q16 ); + gain_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); for( i = 0; i < order; i++ ) { - coefs_syn_Q24[ i ] = silk_SMULWW( gain_syn_Q16, coefs_syn_Q24[ i ] ); - coefs_ana_Q24[ i ] = silk_SMULWW( gain_ana_Q16, coefs_ana_Q24[ i ] ); + coefs_Q24[ i ] = silk_SMULWW( gain_Q16, coefs_Q24[ i ] ); } - + limit_Q20 = silk_RSHIFT(limit_Q24, 4); for( iter = 0; iter < 10; iter++ ) { /* Find maximum absolute value */ maxabs_Q24 = -1; for( i = 0; i < order; i++ ) { - tmp = silk_max( silk_abs_int32( coefs_syn_Q24[ i ] ), silk_abs_int32( coefs_ana_Q24[ i ] ) ); + tmp = silk_abs_int32( coefs_Q24[ i ] ); if( tmp > maxabs_Q24 ) { maxabs_Q24 = tmp; ind = i; } } - if( maxabs_Q24 <= limit_Q24 ) { + /* Use Q20 to avoid any overflow when multiplying by (ind + 1) later. */ + maxabs_Q20 = silk_RSHIFT(maxabs_Q24, 4); + if( maxabs_Q20 <= limit_Q20 ) { /* Coefficients are within range - done */ return; } /* Convert back to true warped coefficients */ for( i = 1; i < order; i++ ) { - coefs_syn_Q24[ i - 1 ] = silk_SMLAWB( coefs_syn_Q24[ i - 1 ], coefs_syn_Q24[ i ], lambda_Q16 ); - coefs_ana_Q24[ i - 1 ] = silk_SMLAWB( coefs_ana_Q24[ i - 1 ], coefs_ana_Q24[ i ], lambda_Q16 ); + coefs_Q24[ i - 1 ] = silk_SMLAWB( coefs_Q24[ i - 1 ], coefs_Q24[ i ], lambda_Q16 ); } - gain_syn_Q16 = silk_INVERSE32_varQ( gain_syn_Q16, 32 ); - gain_ana_Q16 = silk_INVERSE32_varQ( gain_ana_Q16, 32 ); + gain_Q16 = silk_INVERSE32_varQ( gain_Q16, 32 ); for( i = 0; i < order; i++ ) { - coefs_syn_Q24[ i ] = silk_SMULWW( gain_syn_Q16, coefs_syn_Q24[ i ] ); - coefs_ana_Q24[ i ] = silk_SMULWW( gain_ana_Q16, coefs_ana_Q24[ i ] ); + coefs_Q24[ i ] = silk_SMULWW( gain_Q16, coefs_Q24[ i ] ); } /* Apply bandwidth expansion */ chirp_Q16 = SILK_FIX_CONST( 0.99, 16 ) - silk_DIV32_varQ( - silk_SMULWB( maxabs_Q24 - limit_Q24, silk_SMLABB( SILK_FIX_CONST( 0.8, 10 ), SILK_FIX_CONST( 0.1, 10 ), iter ) ), - silk_MUL( maxabs_Q24, ind + 1 ), 22 ); - silk_bwexpander_32( coefs_syn_Q24, order, chirp_Q16 ); - silk_bwexpander_32( coefs_ana_Q24, order, chirp_Q16 ); + silk_SMULWB( maxabs_Q20 - limit_Q20, silk_SMLABB( SILK_FIX_CONST( 0.8, 10 ), SILK_FIX_CONST( 0.1, 10 ), iter ) ), + silk_MUL( maxabs_Q20, ind + 1 ), 22 ); + silk_bwexpander_32( coefs_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 ] = silk_SMLAWB( coefs_syn_Q24[ i - 1 ], coefs_syn_Q24[ i ], lambda_Q16 ); - coefs_ana_Q24[ i - 1 ] = silk_SMLAWB( coefs_ana_Q24[ i - 1 ], coefs_ana_Q24[ i ], lambda_Q16 ); + coefs_Q24[ i - 1 ] = silk_SMLAWB( coefs_Q24[ i - 1 ], coefs_Q24[ i ], lambda_Q16 ); } lambda_Q16 = -lambda_Q16; nom_Q16 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 16 ), -(opus_int32)lambda_Q16, lambda_Q16 ); - den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_syn_Q24[ 0 ], lambda_Q16 ); - gain_syn_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); - den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_ana_Q24[ 0 ], lambda_Q16 ); - gain_ana_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); + den_Q24 = silk_SMLAWB( SILK_FIX_CONST( 1.0, 24 ), coefs_Q24[ 0 ], lambda_Q16 ); + gain_Q16 = silk_DIV32_varQ( nom_Q16, den_Q24, 24 ); for( i = 0; i < order; i++ ) { - coefs_syn_Q24[ i ] = silk_SMULWW( gain_syn_Q16, coefs_syn_Q24[ i ] ); - coefs_ana_Q24[ i ] = silk_SMULWW( gain_ana_Q16, coefs_ana_Q24[ i ] ); + coefs_Q24[ i ] = silk_SMULWW( gain_Q16, coefs_Q24[ i ] ); } } silk_assert( 0 ); } -#if defined(MIPSr1_ASM) +/* Disable MIPS version until it's updated. */ +#if 0 && defined(MIPSr1_ASM) #include "mips/noise_shape_analysis_FIX_mipsr1.h" #endif @@ -155,14 +146,13 @@ void silk_noise_shape_analysis_FIX( ) { silk_shape_state_FIX *psShapeSt = &psEnc->sShape; - opus_int k, i, nSamples, Qnrg, b_Q14, warping_Q16, scale = 0; - opus_int32 SNR_adj_dB_Q7, HarmBoost_Q16, HarmShapeGain_Q16, Tilt_Q16, tmp32; - opus_int32 nrg, pre_nrg_Q30, log_energy_Q7, log_energy_prev_Q7, energy_variation_Q7; - opus_int32 delta_Q16, BWExp1_Q16, BWExp2_Q16, gain_mult_Q16, gain_add_Q16, strength_Q16, b_Q8; + opus_int k, i, nSamples, nSegs, Qnrg, b_Q14, warping_Q16, scale = 0; + opus_int32 SNR_adj_dB_Q7, HarmShapeGain_Q16, Tilt_Q16, tmp32; + opus_int32 nrg, log_energy_Q7, log_energy_prev_Q7, energy_variation_Q7; + opus_int32 BWExp_Q16, gain_mult_Q16, gain_add_Q16, strength_Q16, b_Q8; opus_int32 auto_corr[ MAX_SHAPE_LPC_ORDER + 1 ]; opus_int32 refl_coef_Q16[ MAX_SHAPE_LPC_ORDER ]; - opus_int32 AR1_Q24[ MAX_SHAPE_LPC_ORDER ]; - opus_int32 AR2_Q24[ MAX_SHAPE_LPC_ORDER ]; + opus_int32 AR_Q24[ MAX_SHAPE_LPC_ORDER ]; VARDECL( opus_int16, x_windowed ); const opus_int16 *x_ptr, *pitch_res_ptr; SAVE_STACK; @@ -209,14 +199,14 @@ void silk_noise_shape_analysis_FIX( if( psEnc->sCmn.indices.signalType == TYPE_VOICED ) { /* Initially set to 0; may be overruled in process_gains(..) */ psEnc->sCmn.indices.quantOffsetType = 0; - psEncCtrl->sparseness_Q8 = 0; } else { /* Sparseness measure, based on relative fluctuations of energy per 2 milliseconds */ nSamples = silk_LSHIFT( psEnc->sCmn.fs_kHz, 1 ); energy_variation_Q7 = 0; log_energy_prev_Q7 = 0; pitch_res_ptr = pitch_res; - for( k = 0; k < silk_SMULBB( SUB_FRAME_LENGTH_MS, psEnc->sCmn.nb_subfr ) / 2; k++ ) { + nSegs = silk_SMULBB( SUB_FRAME_LENGTH_MS, psEnc->sCmn.nb_subfr ) / 2; + for( k = 0; k < nSegs; k++ ) { silk_sum_sqr_shift( &nrg, &scale, pitch_res_ptr, nSamples ); nrg += silk_RSHIFT( nSamples, scale ); /* Q(-scale)*/ @@ -228,18 +218,12 @@ void silk_noise_shape_analysis_FIX( pitch_res_ptr += nSamples; } - psEncCtrl->sparseness_Q8 = silk_RSHIFT( silk_sigm_Q15( silk_SMULWB( energy_variation_Q7 - - SILK_FIX_CONST( 5.0, 7 ), SILK_FIX_CONST( 0.1, 16 ) ) ), 7 ); - /* Set quantization offset depending on sparseness measure */ - if( psEncCtrl->sparseness_Q8 > SILK_FIX_CONST( SPARSENESS_THRESHOLD_QNT_OFFSET, 8 ) ) { + if( energy_variation_Q7 > SILK_FIX_CONST( ENERGY_VARIATION_THRESHOLD_QNT_OFFSET, 7 ) * (nSegs-1) ) { psEnc->sCmn.indices.quantOffsetType = 0; } else { psEnc->sCmn.indices.quantOffsetType = 1; } - - /* Increase coding SNR for sparse signals */ - SNR_adj_dB_Q7 = silk_SMLAWB( SNR_adj_dB_Q7, SILK_FIX_CONST( SPARSE_SNR_INCR_dB, 15 ), psEncCtrl->sparseness_Q8 - SILK_FIX_CONST( 0.5, 8 ) ); } /*******************************/ @@ -247,14 +231,8 @@ void silk_noise_shape_analysis_FIX( /*******************************/ /* More BWE for signals with high prediction gain */ strength_Q16 = silk_SMULWB( psEncCtrl->predGain_Q16, SILK_FIX_CONST( FIND_PITCH_WHITE_NOISE_FRACTION, 16 ) ); - BWExp1_Q16 = BWExp2_Q16 = silk_DIV32_varQ( SILK_FIX_CONST( BANDWIDTH_EXPANSION, 16 ), + BWExp_Q16 = silk_DIV32_varQ( SILK_FIX_CONST( BANDWIDTH_EXPANSION, 16 ), silk_SMLAWW( SILK_FIX_CONST( 1.0, 16 ), strength_Q16, strength_Q16 ), 16 ); - delta_Q16 = silk_SMULWB( SILK_FIX_CONST( 1.0, 16 ) - silk_SMULBB( 3, psEncCtrl->coding_quality_Q14 ), - SILK_FIX_CONST( LOW_RATE_BANDWIDTH_EXPANSION_DELTA, 16 ) ); - BWExp1_Q16 = silk_SUB32( BWExp1_Q16, delta_Q16 ); - BWExp2_Q16 = silk_ADD32( BWExp2_Q16, delta_Q16 ); - /* BWExp1 will be applied after BWExp2, so make it relative */ - BWExp1_Q16 = silk_DIV32_16( silk_LSHIFT( BWExp1_Q16, 14 ), silk_RSHIFT( BWExp2_Q16, 2 ) ); if( psEnc->sCmn.warping_Q16 > 0 ) { /* Slightly more warping in analysis will move quantization noise up in frequency, where it's better masked */ @@ -284,7 +262,7 @@ void silk_noise_shape_analysis_FIX( if( psEnc->sCmn.warping_Q16 > 0 ) { /* Calculate warped auto correlation */ - silk_warped_autocorrelation_FIX( auto_corr, &scale, x_windowed, warping_Q16, psEnc->sCmn.shapeWinLength, psEnc->sCmn.shapingLPCOrder ); + silk_warped_autocorrelation_FIX( auto_corr, &scale, x_windowed, warping_Q16, psEnc->sCmn.shapeWinLength, psEnc->sCmn.shapingLPCOrder, arch ); } else { /* Calculate regular auto correlation */ silk_autocorr( auto_corr, &scale, x_windowed, psEnc->sCmn.shapeWinLength, psEnc->sCmn.shapingLPCOrder + 1, arch ); @@ -299,7 +277,7 @@ void silk_noise_shape_analysis_FIX( silk_assert( nrg >= 0 ); /* Convert reflection coefficients to prediction coefficients */ - silk_k2a_Q16( AR2_Q24, refl_coef_Q16, psEnc->sCmn.shapingLPCOrder ); + silk_k2a_Q16( AR_Q24, refl_coef_Q16, psEnc->sCmn.shapingLPCOrder ); Qnrg = -scale; /* range: -12...30*/ silk_assert( Qnrg >= -12 ); @@ -318,40 +296,34 @@ void silk_noise_shape_analysis_FIX( if( psEnc->sCmn.warping_Q16 > 0 ) { /* Adjust gain for warping */ - gain_mult_Q16 = warped_gain( AR2_Q24, warping_Q16, psEnc->sCmn.shapingLPCOrder ); - silk_assert( psEncCtrl->Gains_Q16[ k ] >= 0 ); - if ( silk_SMULWW( silk_RSHIFT_ROUND( psEncCtrl->Gains_Q16[ k ], 1 ), gain_mult_Q16 ) >= ( silk_int32_MAX >> 1 ) ) { - psEncCtrl->Gains_Q16[ k ] = silk_int32_MAX; + gain_mult_Q16 = warped_gain( AR_Q24, warping_Q16, psEnc->sCmn.shapingLPCOrder ); + silk_assert( psEncCtrl->Gains_Q16[ k ] > 0 ); + if( psEncCtrl->Gains_Q16[ k ] < SILK_FIX_CONST( 0.25, 16 ) ) { + psEncCtrl->Gains_Q16[ k ] = silk_SMULWW( psEncCtrl->Gains_Q16[ k ], gain_mult_Q16 ); } else { - psEncCtrl->Gains_Q16[ k ] = silk_SMULWW( psEncCtrl->Gains_Q16[ k ], gain_mult_Q16 ); + psEncCtrl->Gains_Q16[ k ] = silk_SMULWW( silk_RSHIFT_ROUND( psEncCtrl->Gains_Q16[ k ], 1 ), gain_mult_Q16 ); + if ( psEncCtrl->Gains_Q16[ k ] >= ( silk_int32_MAX >> 1 ) ) { + psEncCtrl->Gains_Q16[ k ] = silk_int32_MAX; + } else { + psEncCtrl->Gains_Q16[ k ] = silk_LSHIFT32( psEncCtrl->Gains_Q16[ k ], 1 ); + } } + silk_assert( psEncCtrl->Gains_Q16[ k ] > 0 ); } - /* Bandwidth expansion for synthesis filter shaping */ - silk_bwexpander_32( AR2_Q24, psEnc->sCmn.shapingLPCOrder, BWExp2_Q16 ); - - /* Compute noise shaping filter coefficients */ - silk_memcpy( AR1_Q24, AR2_Q24, psEnc->sCmn.shapingLPCOrder * sizeof( opus_int32 ) ); - - /* Bandwidth expansion for analysis filter shaping */ - silk_assert( BWExp1_Q16 <= SILK_FIX_CONST( 1.0, 16 ) ); - silk_bwexpander_32( AR1_Q24, psEnc->sCmn.shapingLPCOrder, BWExp1_Q16 ); - - /* Ratio of prediction gains, in energy domain */ - pre_nrg_Q30 = silk_LPC_inverse_pred_gain_Q24( AR2_Q24, psEnc->sCmn.shapingLPCOrder ); - nrg = silk_LPC_inverse_pred_gain_Q24( AR1_Q24, psEnc->sCmn.shapingLPCOrder ); - - /*psEncCtrl->GainsPre[ k ] = 1.0f - 0.7f * ( 1.0f - pre_nrg / nrg ) = 0.3f + 0.7f * pre_nrg / nrg;*/ - pre_nrg_Q30 = silk_LSHIFT32( silk_SMULWB( pre_nrg_Q30, SILK_FIX_CONST( 0.7, 15 ) ), 1 ); - psEncCtrl->GainsPre_Q14[ k ] = ( opus_int ) SILK_FIX_CONST( 0.3, 14 ) + silk_DIV32_varQ( pre_nrg_Q30, nrg, 14 ); + /* Bandwidth expansion */ + silk_bwexpander_32( AR_Q24, psEnc->sCmn.shapingLPCOrder, BWExp_Q16 ); - /* Convert to monic warped prediction coefficients and limit absolute values */ - limit_warped_coefs( AR2_Q24, AR1_Q24, warping_Q16, SILK_FIX_CONST( 3.999, 24 ), psEnc->sCmn.shapingLPCOrder ); + if( psEnc->sCmn.warping_Q16 > 0 ) { + /* Convert to monic warped prediction coefficients and limit absolute values */ + limit_warped_coefs( AR_Q24, warping_Q16, SILK_FIX_CONST( 3.999, 24 ), psEnc->sCmn.shapingLPCOrder ); - /* Convert from Q24 to Q13 and store in int16 */ - for( i = 0; i < psEnc->sCmn.shapingLPCOrder; i++ ) { - psEncCtrl->AR1_Q13[ k * MAX_SHAPE_LPC_ORDER + i ] = (opus_int16)silk_SAT16( silk_RSHIFT_ROUND( AR1_Q24[ i ], 11 ) ); - psEncCtrl->AR2_Q13[ k * MAX_SHAPE_LPC_ORDER + i ] = (opus_int16)silk_SAT16( silk_RSHIFT_ROUND( AR2_Q24[ i ], 11 ) ); + /* Convert from Q24 to Q13 and store in int16 */ + for( i = 0; i < psEnc->sCmn.shapingLPCOrder; i++ ) { + psEncCtrl->AR_Q13[ k * MAX_SHAPE_LPC_ORDER + i ] = (opus_int16)silk_SAT16( silk_RSHIFT_ROUND( AR_Q24[ i ], 11 ) ); + } + } else { + silk_LPC_fit( &psEncCtrl->AR_Q13[ k * MAX_SHAPE_LPC_ORDER ], AR_Q24, 13, 24, psEnc->sCmn.shapingLPCOrder ); } } @@ -368,11 +340,6 @@ void silk_noise_shape_analysis_FIX( psEncCtrl->Gains_Q16[ k ] = silk_ADD_POS_SAT32( psEncCtrl->Gains_Q16[ k ], gain_add_Q16 ); } - gain_mult_Q16 = SILK_FIX_CONST( 1.0, 16 ) + silk_RSHIFT_ROUND( silk_MLA( SILK_FIX_CONST( INPUT_TILT, 26 ), - psEncCtrl->coding_quality_Q14, SILK_FIX_CONST( HIGH_RATE_INPUT_TILT, 12 ) ), 10 ); - for( k = 0; k < psEnc->sCmn.nb_subfr; k++ ) { - psEncCtrl->GainsPre_Q14[ k ] = silk_SMULWB( gain_mult_Q16, psEncCtrl->GainsPre_Q14[ k ] ); - } /************************************************/ /* Control low-frequency shaping and noise tilt */ @@ -410,14 +377,6 @@ void silk_noise_shape_analysis_FIX( /****************************/ /* HARMONIC SHAPING CONTROL */ /****************************/ - /* Control boosting of harmonic frequencies */ - HarmBoost_Q16 = silk_SMULWB( silk_SMULWB( SILK_FIX_CONST( 1.0, 17 ) - silk_LSHIFT( psEncCtrl->coding_quality_Q14, 3 ), - psEnc->LTPCorr_Q15 ), SILK_FIX_CONST( LOW_RATE_HARMONIC_BOOST, 16 ) ); - - /* More harmonic boost for noisy input signals */ - HarmBoost_Q16 = silk_SMLAWB( HarmBoost_Q16, - SILK_FIX_CONST( 1.0, 16 ) - silk_LSHIFT( psEncCtrl->input_quality_Q14, 2 ), SILK_FIX_CONST( LOW_INPUT_QUALITY_HARMONIC_BOOST, 16 ) ); - if( USE_HARM_SHAPING && psEnc->sCmn.indices.signalType == TYPE_VOICED ) { /* More harmonic noise shaping for high bitrates or noisy input */ HarmShapeGain_Q16 = silk_SMLAWB( SILK_FIX_CONST( HARMONIC_SHAPING, 16 ), @@ -435,14 +394,11 @@ void silk_noise_shape_analysis_FIX( /* Smooth over subframes */ /*************************/ for( k = 0; k < MAX_NB_SUBFR; k++ ) { - psShapeSt->HarmBoost_smth_Q16 = - silk_SMLAWB( psShapeSt->HarmBoost_smth_Q16, HarmBoost_Q16 - psShapeSt->HarmBoost_smth_Q16, SILK_FIX_CONST( SUBFR_SMTH_COEF, 16 ) ); psShapeSt->HarmShapeGain_smth_Q16 = silk_SMLAWB( psShapeSt->HarmShapeGain_smth_Q16, HarmShapeGain_Q16 - psShapeSt->HarmShapeGain_smth_Q16, SILK_FIX_CONST( SUBFR_SMTH_COEF, 16 ) ); psShapeSt->Tilt_smth_Q16 = silk_SMLAWB( psShapeSt->Tilt_smth_Q16, Tilt_Q16 - psShapeSt->Tilt_smth_Q16, SILK_FIX_CONST( SUBFR_SMTH_COEF, 16 ) ); - psEncCtrl->HarmBoost_Q14[ k ] = ( opus_int )silk_RSHIFT_ROUND( psShapeSt->HarmBoost_smth_Q16, 2 ); psEncCtrl->HarmShapeGain_Q14[ k ] = ( opus_int )silk_RSHIFT_ROUND( psShapeSt->HarmShapeGain_smth_Q16, 2 ); psEncCtrl->Tilt_Q14[ k ] = ( opus_int )silk_RSHIFT_ROUND( psShapeSt->Tilt_smth_Q16, 2 ); } |