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627 lines
22 KiB
C
627 lines
22 KiB
C
/*
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* AAC encoder psychoacoustic model
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* Copyright (C) 2008 Konstantin Shishkov
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*
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* This file is part of Libav.
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*
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* Libav is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* Libav is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with Libav; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* AAC encoder psychoacoustic model
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*/
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#include "avcodec.h"
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#include "aactab.h"
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#include "psymodel.h"
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/***********************************
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* TODOs:
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* thresholds linearization after their modifications for attaining given bitrate
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* try other bitrate controlling mechanism (maybe use ratecontrol.c?)
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* control quality for quality-based output
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**********************************/
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/**
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* constants for 3GPP AAC psychoacoustic model
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* @{
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*/
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#define PSY_3GPP_THR_SPREAD_HI 1.5f // spreading factor for low-to-hi threshold spreading (15 dB/Bark)
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#define PSY_3GPP_THR_SPREAD_LOW 3.0f // spreading factor for hi-to-low threshold spreading (30 dB/Bark)
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#define PSY_3GPP_RPEMIN 0.01f
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#define PSY_3GPP_RPELEV 2.0f
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/* LAME psy model constants */
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#define PSY_LAME_FIR_LEN 21 ///< LAME psy model FIR order
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#define AAC_BLOCK_SIZE_LONG 1024 ///< long block size
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#define AAC_BLOCK_SIZE_SHORT 128 ///< short block size
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#define AAC_NUM_BLOCKS_SHORT 8 ///< number of blocks in a short sequence
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#define PSY_LAME_NUM_SUBBLOCKS 3 ///< Number of sub-blocks in each short block
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/**
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* @}
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*/
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/**
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* information for single band used by 3GPP TS26.403-inspired psychoacoustic model
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*/
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typedef struct AacPsyBand{
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float energy; ///< band energy
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float thr; ///< energy threshold
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float thr_quiet; ///< threshold in quiet
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}AacPsyBand;
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/**
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* single/pair channel context for psychoacoustic model
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*/
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typedef struct AacPsyChannel{
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AacPsyBand band[128]; ///< bands information
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AacPsyBand prev_band[128]; ///< bands information from the previous frame
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float win_energy; ///< sliding average of channel energy
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float iir_state[2]; ///< hi-pass IIR filter state
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uint8_t next_grouping; ///< stored grouping scheme for the next frame (in case of 8 short window sequence)
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enum WindowSequence next_window_seq; ///< window sequence to be used in the next frame
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/* LAME psy model specific members */
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float attack_threshold; ///< attack threshold for this channel
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float prev_energy_subshort[AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS];
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int prev_attack; ///< attack value for the last short block in the previous sequence
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}AacPsyChannel;
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/**
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* psychoacoustic model frame type-dependent coefficients
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*/
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typedef struct AacPsyCoeffs{
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float ath; ///< absolute threshold of hearing per bands
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float barks; ///< Bark value for each spectral band in long frame
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float spread_low[2]; ///< spreading factor for low-to-high threshold spreading in long frame
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float spread_hi [2]; ///< spreading factor for high-to-low threshold spreading in long frame
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float min_snr; ///< minimal SNR
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}AacPsyCoeffs;
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/**
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* 3GPP TS26.403-inspired psychoacoustic model specific data
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*/
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typedef struct AacPsyContext{
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AacPsyCoeffs psy_coef[2][64];
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AacPsyChannel *ch;
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}AacPsyContext;
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/**
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* LAME psy model preset struct
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*/
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typedef struct {
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int quality; ///< Quality to map the rest of the vaules to.
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/* This is overloaded to be both kbps per channel in ABR mode, and
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* requested quality in constant quality mode.
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*/
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float st_lrm; ///< short threshold for L, R, and M channels
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} PsyLamePreset;
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/**
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* LAME psy model preset table for ABR
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*/
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static const PsyLamePreset psy_abr_map[] = {
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/* TODO: Tuning. These were taken from LAME. */
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/* kbps/ch st_lrm */
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{ 8, 6.60},
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{ 16, 6.60},
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{ 24, 6.60},
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{ 32, 6.60},
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{ 40, 6.60},
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{ 48, 6.60},
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{ 56, 6.60},
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{ 64, 6.40},
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{ 80, 6.00},
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{ 96, 5.60},
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{112, 5.20},
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{128, 5.20},
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{160, 5.20}
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};
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/**
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* LAME psy model preset table for constant quality
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*/
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static const PsyLamePreset psy_vbr_map[] = {
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/* vbr_q st_lrm */
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{ 0, 4.20},
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{ 1, 4.20},
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{ 2, 4.20},
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{ 3, 4.20},
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{ 4, 4.20},
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{ 5, 4.20},
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{ 6, 4.20},
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{ 7, 4.20},
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{ 8, 4.20},
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{ 9, 4.20},
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{10, 4.20}
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};
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/**
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* LAME psy model FIR coefficient table
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*/
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static const float psy_fir_coeffs[] = {
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-8.65163e-18 * 2, -0.00851586 * 2, -6.74764e-18 * 2, 0.0209036 * 2,
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-3.36639e-17 * 2, -0.0438162 * 2, -1.54175e-17 * 2, 0.0931738 * 2,
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-5.52212e-17 * 2, -0.313819 * 2
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};
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/**
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* calculates the attack threshold for ABR from the above table for the LAME psy model
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*/
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static float lame_calc_attack_threshold(int bitrate)
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{
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/* Assume max bitrate to start with */
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int lower_range = 12, upper_range = 12;
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int lower_range_kbps = psy_abr_map[12].quality;
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int upper_range_kbps = psy_abr_map[12].quality;
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int i;
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/* Determine which bitrates the value specified falls between.
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* If the loop ends without breaking our above assumption of 320kbps was correct.
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*/
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for (i = 1; i < 13; i++) {
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if (FFMAX(bitrate, psy_abr_map[i].quality) != bitrate) {
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upper_range = i;
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upper_range_kbps = psy_abr_map[i ].quality;
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lower_range = i - 1;
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lower_range_kbps = psy_abr_map[i - 1].quality;
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break; /* Upper range found */
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}
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}
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/* Determine which range the value specified is closer to */
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if ((upper_range_kbps - bitrate) > (bitrate - lower_range_kbps))
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return psy_abr_map[lower_range].st_lrm;
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return psy_abr_map[upper_range].st_lrm;
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}
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/**
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* LAME psy model specific initialization
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*/
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static void lame_window_init(AacPsyContext *ctx, AVCodecContext *avctx) {
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int i, j;
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for (i = 0; i < avctx->channels; i++) {
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AacPsyChannel *pch = &ctx->ch[i];
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if (avctx->flags & CODEC_FLAG_QSCALE)
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pch->attack_threshold = psy_vbr_map[avctx->global_quality / FF_QP2LAMBDA].st_lrm;
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else
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pch->attack_threshold = lame_calc_attack_threshold(avctx->bit_rate / avctx->channels / 1000);
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for (j = 0; j < AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS; j++)
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pch->prev_energy_subshort[j] = 10.0f;
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}
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}
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/**
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* Calculate Bark value for given line.
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*/
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static av_cold float calc_bark(float f)
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{
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return 13.3f * atanf(0.00076f * f) + 3.5f * atanf((f / 7500.0f) * (f / 7500.0f));
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}
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#define ATH_ADD 4
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/**
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* Calculate ATH value for given frequency.
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* Borrowed from Lame.
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*/
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static av_cold float ath(float f, float add)
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{
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f /= 1000.0f;
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return 3.64 * pow(f, -0.8)
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- 6.8 * exp(-0.6 * (f - 3.4) * (f - 3.4))
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+ 6.0 * exp(-0.15 * (f - 8.7) * (f - 8.7))
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+ (0.6 + 0.04 * add) * 0.001 * f * f * f * f;
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}
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static av_cold int psy_3gpp_init(FFPsyContext *ctx) {
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AacPsyContext *pctx;
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float bark;
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int i, j, g, start;
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float prev, minscale, minath;
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ctx->model_priv_data = av_mallocz(sizeof(AacPsyContext));
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pctx = (AacPsyContext*) ctx->model_priv_data;
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minath = ath(3410, ATH_ADD);
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for (j = 0; j < 2; j++) {
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AacPsyCoeffs *coeffs = pctx->psy_coef[j];
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const uint8_t *band_sizes = ctx->bands[j];
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float line_to_frequency = ctx->avctx->sample_rate / (j ? 256.f : 2048.0f);
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i = 0;
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prev = 0.0;
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for (g = 0; g < ctx->num_bands[j]; g++) {
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i += band_sizes[g];
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bark = calc_bark((i-1) * line_to_frequency);
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coeffs[g].barks = (bark + prev) / 2.0;
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prev = bark;
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}
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for (g = 0; g < ctx->num_bands[j] - 1; g++) {
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AacPsyCoeffs *coeff = &coeffs[g];
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float bark_width = coeffs[g+1].barks - coeffs->barks;
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coeff->spread_low[0] = pow(10.0, -bark_width * PSY_3GPP_THR_SPREAD_LOW);
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coeff->spread_hi [0] = pow(10.0, -bark_width * PSY_3GPP_THR_SPREAD_HI);
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}
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start = 0;
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for (g = 0; g < ctx->num_bands[j]; g++) {
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minscale = ath(start * line_to_frequency, ATH_ADD);
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for (i = 1; i < band_sizes[g]; i++)
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minscale = FFMIN(minscale, ath((start + i) * line_to_frequency, ATH_ADD));
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coeffs[g].ath = minscale - minath;
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start += band_sizes[g];
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}
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}
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pctx->ch = av_mallocz(sizeof(AacPsyChannel) * ctx->avctx->channels);
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lame_window_init(pctx, ctx->avctx);
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return 0;
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}
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/**
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* IIR filter used in block switching decision
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*/
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static float iir_filter(int in, float state[2])
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{
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float ret;
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ret = 0.7548f * (in - state[0]) + 0.5095f * state[1];
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state[0] = in;
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state[1] = ret;
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return ret;
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}
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/**
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* window grouping information stored as bits (0 - new group, 1 - group continues)
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*/
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static const uint8_t window_grouping[9] = {
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0xB6, 0x6C, 0xD8, 0xB2, 0x66, 0xC6, 0x96, 0x36, 0x36
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};
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/**
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* Tell encoder which window types to use.
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* @see 3GPP TS26.403 5.4.1 "Blockswitching"
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*/
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static FFPsyWindowInfo psy_3gpp_window(FFPsyContext *ctx,
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const int16_t *audio, const int16_t *la,
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int channel, int prev_type)
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{
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int i, j;
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int br = ctx->avctx->bit_rate / ctx->avctx->channels;
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int attack_ratio = br <= 16000 ? 18 : 10;
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AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
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AacPsyChannel *pch = &pctx->ch[channel];
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uint8_t grouping = 0;
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int next_type = pch->next_window_seq;
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FFPsyWindowInfo wi;
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memset(&wi, 0, sizeof(wi));
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if (la) {
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float s[8], v;
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int switch_to_eight = 0;
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float sum = 0.0, sum2 = 0.0;
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int attack_n = 0;
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int stay_short = 0;
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for (i = 0; i < 8; i++) {
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for (j = 0; j < 128; j++) {
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v = iir_filter(la[(i*128+j)*ctx->avctx->channels], pch->iir_state);
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sum += v*v;
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}
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s[i] = sum;
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sum2 += sum;
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}
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for (i = 0; i < 8; i++) {
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if (s[i] > pch->win_energy * attack_ratio) {
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attack_n = i + 1;
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switch_to_eight = 1;
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break;
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}
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}
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pch->win_energy = pch->win_energy*7/8 + sum2/64;
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wi.window_type[1] = prev_type;
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switch (prev_type) {
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case ONLY_LONG_SEQUENCE:
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wi.window_type[0] = switch_to_eight ? LONG_START_SEQUENCE : ONLY_LONG_SEQUENCE;
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next_type = switch_to_eight ? EIGHT_SHORT_SEQUENCE : ONLY_LONG_SEQUENCE;
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break;
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case LONG_START_SEQUENCE:
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wi.window_type[0] = EIGHT_SHORT_SEQUENCE;
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grouping = pch->next_grouping;
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next_type = switch_to_eight ? EIGHT_SHORT_SEQUENCE : LONG_STOP_SEQUENCE;
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break;
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case LONG_STOP_SEQUENCE:
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wi.window_type[0] = switch_to_eight ? LONG_START_SEQUENCE : ONLY_LONG_SEQUENCE;
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next_type = switch_to_eight ? EIGHT_SHORT_SEQUENCE : ONLY_LONG_SEQUENCE;
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break;
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case EIGHT_SHORT_SEQUENCE:
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stay_short = next_type == EIGHT_SHORT_SEQUENCE || switch_to_eight;
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wi.window_type[0] = stay_short ? EIGHT_SHORT_SEQUENCE : LONG_STOP_SEQUENCE;
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grouping = next_type == EIGHT_SHORT_SEQUENCE ? pch->next_grouping : 0;
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next_type = switch_to_eight ? EIGHT_SHORT_SEQUENCE : LONG_STOP_SEQUENCE;
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break;
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}
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pch->next_grouping = window_grouping[attack_n];
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pch->next_window_seq = next_type;
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} else {
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for (i = 0; i < 3; i++)
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wi.window_type[i] = prev_type;
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grouping = (prev_type == EIGHT_SHORT_SEQUENCE) ? window_grouping[0] : 0;
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}
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wi.window_shape = 1;
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if (wi.window_type[0] != EIGHT_SHORT_SEQUENCE) {
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wi.num_windows = 1;
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wi.grouping[0] = 1;
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} else {
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int lastgrp = 0;
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wi.num_windows = 8;
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for (i = 0; i < 8; i++) {
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if (!((grouping >> i) & 1))
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lastgrp = i;
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wi.grouping[lastgrp]++;
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}
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}
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return wi;
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}
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/**
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* Calculate band thresholds as suggested in 3GPP TS26.403
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*/
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static void psy_3gpp_analyze(FFPsyContext *ctx, int channel,
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const float *coefs, const FFPsyWindowInfo *wi)
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{
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AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
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AacPsyChannel *pch = &pctx->ch[channel];
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int start = 0;
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int i, w, g;
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const int num_bands = ctx->num_bands[wi->num_windows == 8];
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const uint8_t *band_sizes = ctx->bands[wi->num_windows == 8];
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AacPsyCoeffs *coeffs = pctx->psy_coef[wi->num_windows == 8];
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//calculate energies, initial thresholds and related values - 5.4.2 "Threshold Calculation"
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for (w = 0; w < wi->num_windows*16; w += 16) {
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for (g = 0; g < num_bands; g++) {
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AacPsyBand *band = &pch->band[w+g];
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band->energy = 0.0f;
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for (i = 0; i < band_sizes[g]; i++)
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band->energy += coefs[start+i] * coefs[start+i];
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band->thr = band->energy * 0.001258925f;
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start += band_sizes[g];
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}
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}
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//modify thresholds and energies - spread, threshold in quiet, pre-echo control
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for (w = 0; w < wi->num_windows*16; w += 16) {
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AacPsyBand *bands = &pch->band[w];
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//5.4.2.3 "Spreading" & 5.4.3 "Spreaded Energy Calculation"
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for (g = 1; g < num_bands; g++)
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bands[g].thr = FFMAX(bands[g].thr, bands[g-1].thr * coeffs[g].spread_hi[0]);
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for (g = num_bands - 2; g >= 0; g--)
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bands[g].thr = FFMAX(bands[g].thr, bands[g+1].thr * coeffs[g].spread_low[0]);
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//5.4.2.4 "Threshold in quiet"
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for (g = 0; g < num_bands; g++) {
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AacPsyBand *band = &bands[g];
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band->thr_quiet = band->thr = FFMAX(band->thr, coeffs[g].ath);
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//5.4.2.5 "Pre-echo control"
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if (!(wi->window_type[0] == LONG_STOP_SEQUENCE || (wi->window_type[1] == LONG_START_SEQUENCE && !w)))
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band->thr = FFMAX(PSY_3GPP_RPEMIN*band->thr, FFMIN(band->thr,
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PSY_3GPP_RPELEV*pch->prev_band[w+g].thr_quiet));
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}
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}
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for (w = 0; w < wi->num_windows*16; w += 16) {
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for (g = 0; g < num_bands; g++) {
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AacPsyBand *band = &pch->band[w+g];
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FFPsyBand *psy_band = &ctx->psy_bands[channel*PSY_MAX_BANDS+w+g];
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psy_band->threshold = band->thr;
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psy_band->energy = band->energy;
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}
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}
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memcpy(pch->prev_band, pch->band, sizeof(pch->band));
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}
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static av_cold void psy_3gpp_end(FFPsyContext *apc)
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{
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AacPsyContext *pctx = (AacPsyContext*) apc->model_priv_data;
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av_freep(&pctx->ch);
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av_freep(&apc->model_priv_data);
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}
|
|
|
|
static void lame_apply_block_type(AacPsyChannel *ctx, FFPsyWindowInfo *wi, int uselongblock)
|
|
{
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|
int blocktype = ONLY_LONG_SEQUENCE;
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|
if (uselongblock) {
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|
if (ctx->next_window_seq == EIGHT_SHORT_SEQUENCE)
|
|
blocktype = LONG_STOP_SEQUENCE;
|
|
} else {
|
|
blocktype = EIGHT_SHORT_SEQUENCE;
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|
if (ctx->next_window_seq == ONLY_LONG_SEQUENCE)
|
|
ctx->next_window_seq = LONG_START_SEQUENCE;
|
|
if (ctx->next_window_seq == LONG_STOP_SEQUENCE)
|
|
ctx->next_window_seq = EIGHT_SHORT_SEQUENCE;
|
|
}
|
|
|
|
wi->window_type[0] = ctx->next_window_seq;
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|
ctx->next_window_seq = blocktype;
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|
}
|
|
|
|
static FFPsyWindowInfo psy_lame_window(FFPsyContext *ctx,
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|
const int16_t *audio, const int16_t *la,
|
|
int channel, int prev_type)
|
|
{
|
|
AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
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|
AacPsyChannel *pch = &pctx->ch[channel];
|
|
int grouping = 0;
|
|
int uselongblock = 1;
|
|
int attacks[AAC_NUM_BLOCKS_SHORT + 1] = { 0 };
|
|
int i;
|
|
FFPsyWindowInfo wi;
|
|
|
|
memset(&wi, 0, sizeof(wi));
|
|
if (la) {
|
|
float hpfsmpl[AAC_BLOCK_SIZE_LONG];
|
|
float const *pf = hpfsmpl;
|
|
float attack_intensity[(AAC_NUM_BLOCKS_SHORT + 1) * PSY_LAME_NUM_SUBBLOCKS];
|
|
float energy_subshort[(AAC_NUM_BLOCKS_SHORT + 1) * PSY_LAME_NUM_SUBBLOCKS];
|
|
float energy_short[AAC_NUM_BLOCKS_SHORT + 1] = { 0 };
|
|
int chans = ctx->avctx->channels;
|
|
const int16_t *firbuf = la + (AAC_BLOCK_SIZE_SHORT/4 - PSY_LAME_FIR_LEN) * chans;
|
|
int j, att_sum = 0;
|
|
|
|
/* LAME comment: apply high pass filter of fs/4 */
|
|
for (i = 0; i < AAC_BLOCK_SIZE_LONG; i++) {
|
|
float sum1, sum2;
|
|
sum1 = firbuf[(i + ((PSY_LAME_FIR_LEN - 1) / 2)) * chans];
|
|
sum2 = 0.0;
|
|
for (j = 0; j < ((PSY_LAME_FIR_LEN - 1) / 2) - 1; j += 2) {
|
|
sum1 += psy_fir_coeffs[j] * (firbuf[(i + j) * chans] + firbuf[(i + PSY_LAME_FIR_LEN - j) * chans]);
|
|
sum2 += psy_fir_coeffs[j + 1] * (firbuf[(i + j + 1) * chans] + firbuf[(i + PSY_LAME_FIR_LEN - j - 1) * chans]);
|
|
}
|
|
hpfsmpl[i] = sum1 + sum2;
|
|
}
|
|
|
|
/* Calculate the energies of each sub-shortblock */
|
|
for (i = 0; i < PSY_LAME_NUM_SUBBLOCKS; i++) {
|
|
energy_subshort[i] = pch->prev_energy_subshort[i + ((AAC_NUM_BLOCKS_SHORT - 1) * PSY_LAME_NUM_SUBBLOCKS)];
|
|
assert(pch->prev_energy_subshort[i + ((AAC_NUM_BLOCKS_SHORT - 2) * PSY_LAME_NUM_SUBBLOCKS + 1)] > 0);
|
|
attack_intensity[i] = energy_subshort[i] / pch->prev_energy_subshort[i + ((AAC_NUM_BLOCKS_SHORT - 2) * PSY_LAME_NUM_SUBBLOCKS + 1)];
|
|
energy_short[0] += energy_subshort[i];
|
|
}
|
|
|
|
for (i = 0; i < AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS; i++) {
|
|
float const *const pfe = pf + AAC_BLOCK_SIZE_LONG / (AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS);
|
|
float p = 1.0f;
|
|
for (; pf < pfe; pf++)
|
|
if (p < fabsf(*pf))
|
|
p = fabsf(*pf);
|
|
pch->prev_energy_subshort[i] = energy_subshort[i + PSY_LAME_NUM_SUBBLOCKS] = p;
|
|
energy_short[1 + i / PSY_LAME_NUM_SUBBLOCKS] += p;
|
|
/* FIXME: The indexes below are [i + 3 - 2] in the LAME source.
|
|
* Obviously the 3 and 2 have some significance, or this would be just [i + 1]
|
|
* (which is what we use here). What the 3 stands for is ambigious, as it is both
|
|
* number of short blocks, and the number of sub-short blocks.
|
|
* It seems that LAME is comparing each sub-block to sub-block + 1 in the
|
|
* previous block.
|
|
*/
|
|
if (p > energy_subshort[i + 1])
|
|
p = p / energy_subshort[i + 1];
|
|
else if (energy_subshort[i + 1] > p * 10.0f)
|
|
p = energy_subshort[i + 1] / (p * 10.0f);
|
|
else
|
|
p = 0.0;
|
|
attack_intensity[i + PSY_LAME_NUM_SUBBLOCKS] = p;
|
|
}
|
|
|
|
/* compare energy between sub-short blocks */
|
|
for (i = 0; i < (AAC_NUM_BLOCKS_SHORT + 1) * PSY_LAME_NUM_SUBBLOCKS; i++)
|
|
if (!attacks[i / PSY_LAME_NUM_SUBBLOCKS])
|
|
if (attack_intensity[i] > pch->attack_threshold)
|
|
attacks[i / PSY_LAME_NUM_SUBBLOCKS] = (i % PSY_LAME_NUM_SUBBLOCKS) + 1;
|
|
|
|
/* should have energy change between short blocks, in order to avoid periodic signals */
|
|
/* Good samples to show the effect are Trumpet test songs */
|
|
/* GB: tuned (1) to avoid too many short blocks for test sample TRUMPET */
|
|
/* RH: tuned (2) to let enough short blocks through for test sample FSOL and SNAPS */
|
|
for (i = 1; i < AAC_NUM_BLOCKS_SHORT + 1; i++) {
|
|
float const u = energy_short[i - 1];
|
|
float const v = energy_short[i];
|
|
float const m = FFMAX(u, v);
|
|
if (m < 40000) { /* (2) */
|
|
if (u < 1.7f * v && v < 1.7f * u) { /* (1) */
|
|
if (i == 1 && attacks[0] < attacks[i])
|
|
attacks[0] = 0;
|
|
attacks[i] = 0;
|
|
}
|
|
}
|
|
att_sum += attacks[i];
|
|
}
|
|
|
|
if (attacks[0] <= pch->prev_attack)
|
|
attacks[0] = 0;
|
|
|
|
att_sum += attacks[0];
|
|
/* 3 below indicates the previous attack happened in the last sub-block of the previous sequence */
|
|
if (pch->prev_attack == 3 || att_sum) {
|
|
uselongblock = 0;
|
|
|
|
for (i = 1; i < AAC_NUM_BLOCKS_SHORT + 1; i++)
|
|
if (attacks[i] && attacks[i-1])
|
|
attacks[i] = 0;
|
|
}
|
|
} else {
|
|
/* We have no lookahead info, so just use same type as the previous sequence. */
|
|
uselongblock = !(prev_type == EIGHT_SHORT_SEQUENCE);
|
|
}
|
|
|
|
lame_apply_block_type(pch, &wi, uselongblock);
|
|
|
|
wi.window_type[1] = prev_type;
|
|
if (wi.window_type[0] != EIGHT_SHORT_SEQUENCE) {
|
|
wi.num_windows = 1;
|
|
wi.grouping[0] = 1;
|
|
if (wi.window_type[0] == LONG_START_SEQUENCE)
|
|
wi.window_shape = 0;
|
|
else
|
|
wi.window_shape = 1;
|
|
} else {
|
|
int lastgrp = 0;
|
|
|
|
wi.num_windows = 8;
|
|
wi.window_shape = 0;
|
|
for (i = 0; i < 8; i++) {
|
|
if (!((pch->next_grouping >> i) & 1))
|
|
lastgrp = i;
|
|
wi.grouping[lastgrp]++;
|
|
}
|
|
}
|
|
|
|
/* Determine grouping, based on the location of the first attack, and save for
|
|
* the next frame.
|
|
* FIXME: Move this to analysis.
|
|
* TODO: Tune groupings depending on attack location
|
|
* TODO: Handle more than one attack in a group
|
|
*/
|
|
for (i = 0; i < 9; i++) {
|
|
if (attacks[i]) {
|
|
grouping = i;
|
|
break;
|
|
}
|
|
}
|
|
pch->next_grouping = window_grouping[grouping];
|
|
|
|
pch->prev_attack = attacks[8];
|
|
|
|
return wi;
|
|
}
|
|
|
|
const FFPsyModel ff_aac_psy_model =
|
|
{
|
|
.name = "3GPP TS 26.403-inspired model",
|
|
.init = psy_3gpp_init,
|
|
.window = psy_lame_window,
|
|
.analyze = psy_3gpp_analyze,
|
|
.end = psy_3gpp_end,
|
|
};
|