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-rw-r--r--lib/ffmpeg/libavcodec/aacpsy.c389
1 files changed, 344 insertions, 45 deletions
diff --git a/lib/ffmpeg/libavcodec/aacpsy.c b/lib/ffmpeg/libavcodec/aacpsy.c
index 466b0e9a1a..a987be0abb 100644
--- a/lib/ffmpeg/libavcodec/aacpsy.c
+++ b/lib/ffmpeg/libavcodec/aacpsy.c
@@ -39,11 +39,19 @@
* constants for 3GPP AAC psychoacoustic model
* @{
*/
-#define PSY_3GPP_SPREAD_LOW 1.5f // spreading factor for ascending threshold spreading (15 dB/Bark)
-#define PSY_3GPP_SPREAD_HI 3.0f // spreading factor for descending threshold spreading (30 dB/Bark)
+#define PSY_3GPP_SPREAD_HI 1.5f // spreading factor for ascending threshold spreading (15 dB/Bark)
+#define PSY_3GPP_SPREAD_LOW 3.0f // spreading factor for descending threshold spreading (30 dB/Bark)
#define PSY_3GPP_RPEMIN 0.01f
#define PSY_3GPP_RPELEV 2.0f
+
+/* LAME psy model constants */
+#define PSY_LAME_FIR_LEN 21 ///< LAME psy model FIR order
+#define AAC_BLOCK_SIZE_LONG 1024 ///< long block size
+#define AAC_BLOCK_SIZE_SHORT 128 ///< short block size
+#define AAC_NUM_BLOCKS_SHORT 8 ///< number of blocks in a short sequence
+#define PSY_LAME_NUM_SUBBLOCKS 3 ///< Number of sub-blocks in each short block
+
/**
* @}
*/
@@ -51,44 +59,156 @@
/**
* information for single band used by 3GPP TS26.403-inspired psychoacoustic model
*/
-typedef struct Psy3gppBand{
+typedef struct AacPsyBand{
float energy; ///< band energy
float ffac; ///< form factor
float thr; ///< energy threshold
float min_snr; ///< minimal SNR
float thr_quiet; ///< threshold in quiet
-}Psy3gppBand;
+}AacPsyBand;
/**
* single/pair channel context for psychoacoustic model
*/
-typedef struct Psy3gppChannel{
- Psy3gppBand band[128]; ///< bands information
- Psy3gppBand prev_band[128]; ///< bands information from the previous frame
+typedef struct AacPsyChannel{
+ AacPsyBand band[128]; ///< bands information
+ AacPsyBand prev_band[128]; ///< bands information from the previous frame
float win_energy; ///< sliding average of channel energy
float iir_state[2]; ///< hi-pass IIR filter state
uint8_t next_grouping; ///< stored grouping scheme for the next frame (in case of 8 short window sequence)
enum WindowSequence next_window_seq; ///< window sequence to be used in the next frame
-}Psy3gppChannel;
+ /* LAME psy model specific members */
+ float attack_threshold; ///< attack threshold for this channel
+ float prev_energy_subshort[AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS];
+ int prev_attack; ///< attack value for the last short block in the previous sequence
+}AacPsyChannel;
/**
* psychoacoustic model frame type-dependent coefficients
*/
-typedef struct Psy3gppCoeffs{
+typedef struct AacPsyCoeffs{
float ath [64]; ///< absolute threshold of hearing per bands
float barks [64]; ///< Bark value for each spectral band in long frame
float spread_low[64]; ///< spreading factor for low-to-high threshold spreading in long frame
float spread_hi [64]; ///< spreading factor for high-to-low threshold spreading in long frame
-}Psy3gppCoeffs;
+}AacPsyCoeffs;
/**
* 3GPP TS26.403-inspired psychoacoustic model specific data
*/
-typedef struct Psy3gppContext{
- Psy3gppCoeffs psy_coef[2];
- Psy3gppChannel *ch;
-}Psy3gppContext;
+typedef struct AacPsyContext{
+ AacPsyCoeffs psy_coef[2];
+ AacPsyChannel *ch;
+}AacPsyContext;
+
+/**
+ * LAME psy model preset struct
+ */
+typedef struct {
+ int quality; ///< Quality to map the rest of the vaules to.
+ /* This is overloaded to be both kbps per channel in ABR mode, and
+ * requested quality in constant quality mode.
+ */
+ float st_lrm; ///< short threshold for L, R, and M channels
+} PsyLamePreset;
+
+/**
+ * LAME psy model preset table for ABR
+ */
+static const PsyLamePreset psy_abr_map[] = {
+/* TODO: Tuning. These were taken from LAME. */
+/* kbps/ch st_lrm */
+ { 8, 6.60},
+ { 16, 6.60},
+ { 24, 6.60},
+ { 32, 6.60},
+ { 40, 6.60},
+ { 48, 6.60},
+ { 56, 6.60},
+ { 64, 6.40},
+ { 80, 6.00},
+ { 96, 5.60},
+ {112, 5.20},
+ {128, 5.20},
+ {160, 5.20}
+};
+
+/**
+* LAME psy model preset table for constant quality
+*/
+static const PsyLamePreset psy_vbr_map[] = {
+/* vbr_q st_lrm */
+ { 0, 4.20},
+ { 1, 4.20},
+ { 2, 4.20},
+ { 3, 4.20},
+ { 4, 4.20},
+ { 5, 4.20},
+ { 6, 4.20},
+ { 7, 4.20},
+ { 8, 4.20},
+ { 9, 4.20},
+ {10, 4.20}
+};
+
+/**
+ * LAME psy model FIR coefficient table
+ */
+static const float psy_fir_coeffs[] = {
+ -8.65163e-18 * 2, -0.00851586 * 2, -6.74764e-18 * 2, 0.0209036 * 2,
+ -3.36639e-17 * 2, -0.0438162 * 2, -1.54175e-17 * 2, 0.0931738 * 2,
+ -5.52212e-17 * 2, -0.313819 * 2
+};
+
+/**
+ * calculates the attack threshold for ABR from the above table for the LAME psy model
+ */
+static float lame_calc_attack_threshold(int bitrate)
+{
+ /* Assume max bitrate to start with */
+ int lower_range = 12, upper_range = 12;
+ int lower_range_kbps = psy_abr_map[12].quality;
+ int upper_range_kbps = psy_abr_map[12].quality;
+ int i;
+
+ /* Determine which bitrates the value specified falls between.
+ * If the loop ends without breaking our above assumption of 320kbps was correct.
+ */
+ for (i = 1; i < 13; i++) {
+ if (FFMAX(bitrate, psy_abr_map[i].quality) != bitrate) {
+ upper_range = i;
+ upper_range_kbps = psy_abr_map[i ].quality;
+ lower_range = i - 1;
+ lower_range_kbps = psy_abr_map[i - 1].quality;
+ break; /* Upper range found */
+ }
+ }
+
+ /* Determine which range the value specified is closer to */
+ if ((upper_range_kbps - bitrate) > (bitrate - lower_range_kbps))
+ return psy_abr_map[lower_range].st_lrm;
+ return psy_abr_map[upper_range].st_lrm;
+}
+
+/**
+ * LAME psy model specific initialization
+ */
+static void lame_window_init(AacPsyContext *ctx, AVCodecContext *avctx) {
+ int i, j;
+
+ for (i = 0; i < avctx->channels; i++) {
+ AacPsyChannel *pch = &ctx->ch[i];
+
+ if (avctx->flags & CODEC_FLAG_QSCALE)
+ pch->attack_threshold = psy_vbr_map[avctx->global_quality / FF_QP2LAMBDA].st_lrm;
+ else
+ pch->attack_threshold = lame_calc_attack_threshold(avctx->bit_rate / avctx->channels / 1000);
+
+ for (j = 0; j < AAC_NUM_BLOCKS_SHORT * PSY_LAME_NUM_SUBBLOCKS; j++)
+ pch->prev_energy_subshort[j] = 10.0f;
+ }
+}
/**
* Calculate Bark value for given line.
@@ -113,25 +233,25 @@ static av_cold float ath(float f, float add)
}
static av_cold int psy_3gpp_init(FFPsyContext *ctx) {
- Psy3gppContext *pctx;
- float barks[1024];
+ AacPsyContext *pctx;
+ float bark;
int i, j, g, start;
float prev, minscale, minath;
- ctx->model_priv_data = av_mallocz(sizeof(Psy3gppContext));
- pctx = (Psy3gppContext*) ctx->model_priv_data;
+ ctx->model_priv_data = av_mallocz(sizeof(AacPsyContext));
+ pctx = (AacPsyContext*) ctx->model_priv_data;
- for (i = 0; i < 1024; i++)
- barks[i] = calc_bark(i * ctx->avctx->sample_rate / 2048.0);
minath = ath(3410, ATH_ADD);
for (j = 0; j < 2; j++) {
- Psy3gppCoeffs *coeffs = &pctx->psy_coef[j];
+ AacPsyCoeffs *coeffs = &pctx->psy_coef[j];
+ float line_to_frequency = ctx->avctx->sample_rate / (j ? 256.f : 2048.0f);
i = 0;
prev = 0.0;
for (g = 0; g < ctx->num_bands[j]; g++) {
i += ctx->bands[j][g];
- coeffs->barks[g] = (barks[i - 1] + prev) / 2.0;
- prev = barks[i - 1];
+ bark = calc_bark((i-1) * line_to_frequency);
+ coeffs->barks[g] = (bark + prev) / 2.0;
+ prev = bark;
}
for (g = 0; g < ctx->num_bands[j] - 1; g++) {
coeffs->spread_low[g] = pow(10.0, -(coeffs->barks[g+1] - coeffs->barks[g]) * PSY_3GPP_SPREAD_LOW);
@@ -139,15 +259,18 @@ static av_cold int psy_3gpp_init(FFPsyContext *ctx) {
}
start = 0;
for (g = 0; g < ctx->num_bands[j]; g++) {
- minscale = ath(ctx->avctx->sample_rate * start / 1024.0, ATH_ADD);
+ minscale = ath(start * line_to_frequency, ATH_ADD);
for (i = 1; i < ctx->bands[j][g]; i++)
- minscale = FFMIN(minscale, ath(ctx->avctx->sample_rate * (start + i) / 1024.0 / 2.0, ATH_ADD));
+ minscale = FFMIN(minscale, ath((start + i) * line_to_frequency, ATH_ADD));
coeffs->ath[g] = minscale - minath;
start += ctx->bands[j][g];
}
}
- pctx->ch = av_mallocz(sizeof(Psy3gppChannel) * ctx->avctx->channels);
+ pctx->ch = av_mallocz(sizeof(AacPsyChannel) * ctx->avctx->channels);
+
+ lame_window_init(pctx, ctx->avctx);
+
return 0;
}
@@ -182,8 +305,8 @@ static FFPsyWindowInfo psy_3gpp_window(FFPsyContext *ctx,
int i, j;
int br = ctx->avctx->bit_rate / ctx->avctx->channels;
int attack_ratio = br <= 16000 ? 18 : 10;
- Psy3gppContext *pctx = (Psy3gppContext*) ctx->model_priv_data;
- Psy3gppChannel *pch = &pctx->ch[channel];
+ AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
+ AacPsyChannel *pch = &pctx->ch[channel];
uint8_t grouping = 0;
int next_type = pch->next_window_seq;
FFPsyWindowInfo wi;
@@ -264,24 +387,23 @@ static FFPsyWindowInfo psy_3gpp_window(FFPsyContext *ctx,
* Calculate band thresholds as suggested in 3GPP TS26.403
*/
static void psy_3gpp_analyze(FFPsyContext *ctx, int channel,
- const float *coefs, FFPsyWindowInfo *wi)
+ const float *coefs, const FFPsyWindowInfo *wi)
{
- Psy3gppContext *pctx = (Psy3gppContext*) ctx->model_priv_data;
- Psy3gppChannel *pch = &pctx->ch[channel];
+ AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
+ AacPsyChannel *pch = &pctx->ch[channel];
int start = 0;
int i, w, g;
const int num_bands = ctx->num_bands[wi->num_windows == 8];
const uint8_t* band_sizes = ctx->bands[wi->num_windows == 8];
- Psy3gppCoeffs *coeffs = &pctx->psy_coef[wi->num_windows == 8];
+ AacPsyCoeffs *coeffs = &pctx->psy_coef[wi->num_windows == 8];
//calculate energies, initial thresholds and related values - 5.4.2 "Threshold Calculation"
for (w = 0; w < wi->num_windows*16; w += 16) {
for (g = 0; g < num_bands; g++) {
- Psy3gppBand *band = &pch->band[w+g];
+ AacPsyBand *band = &pch->band[w+g];
band->energy = 0.0f;
for (i = 0; i < band_sizes[g]; i++)
band->energy += coefs[start+i] * coefs[start+i];
- band->energy *= 1.0f / (512*512);
band->thr = band->energy * 0.001258925f;
start += band_sizes[g];
@@ -290,18 +412,16 @@ static void psy_3gpp_analyze(FFPsyContext *ctx, int channel,
}
//modify thresholds - spread, threshold in quiet - 5.4.3 "Spreaded Energy Calculation"
for (w = 0; w < wi->num_windows*16; w += 16) {
- Psy3gppBand *band = &pch->band[w];
+ AacPsyBand *band = &pch->band[w];
for (g = 1; g < num_bands; g++)
- band[g].thr = FFMAX(band[g].thr, band[g-1].thr * coeffs->spread_low[g-1]);
+ band[g].thr = FFMAX(band[g].thr, band[g-1].thr * coeffs->spread_hi [g]);
for (g = num_bands - 2; g >= 0; g--)
- band[g].thr = FFMAX(band[g].thr, band[g+1].thr * coeffs->spread_hi [g]);
+ band[g].thr = FFMAX(band[g].thr, band[g+1].thr * coeffs->spread_low[g]);
for (g = 0; g < num_bands; g++) {
- band[g].thr_quiet = FFMAX(band[g].thr, coeffs->ath[g]);
- if (wi->num_windows != 8 && wi->window_type[1] != EIGHT_SHORT_SEQUENCE)
- band[g].thr_quiet = FFMAX(PSY_3GPP_RPEMIN*band[g].thr_quiet,
- FFMIN(band[g].thr_quiet,
- PSY_3GPP_RPELEV*pch->prev_band[w+g].thr_quiet));
- band[g].thr = FFMAX(band[g].thr, band[g].thr_quiet * 0.25);
+ band[g].thr_quiet = band[g].thr = FFMAX(band[g].thr, coeffs->ath[g]);
+ if (!(wi->window_type[0] == LONG_STOP_SEQUENCE || (wi->window_type[1] == LONG_START_SEQUENCE && !w)))
+ band[g].thr = FFMAX(PSY_3GPP_RPEMIN*band[g].thr, FFMIN(band[g].thr,
+ PSY_3GPP_RPELEV*pch->prev_band[w+g].thr_quiet));
ctx->psy_bands[channel*PSY_MAX_BANDS+w+g].threshold = band[g].thr;
}
@@ -311,17 +431,196 @@ static void psy_3gpp_analyze(FFPsyContext *ctx, int channel,
static av_cold void psy_3gpp_end(FFPsyContext *apc)
{
- Psy3gppContext *pctx = (Psy3gppContext*) apc->model_priv_data;
+ AacPsyContext *pctx = (AacPsyContext*) apc->model_priv_data;
av_freep(&pctx->ch);
av_freep(&apc->model_priv_data);
}
+static void lame_apply_block_type(AacPsyChannel *ctx, FFPsyWindowInfo *wi, int uselongblock)
+{
+ int blocktype = ONLY_LONG_SEQUENCE;
+ if (uselongblock) {
+ if (ctx->next_window_seq == EIGHT_SHORT_SEQUENCE)
+ blocktype = LONG_STOP_SEQUENCE;
+ } else {
+ blocktype = EIGHT_SHORT_SEQUENCE;
+ 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;
+ ctx->next_window_seq = blocktype;
+}
+
+static FFPsyWindowInfo psy_lame_window(FFPsyContext *ctx,
+ const int16_t *audio, const int16_t *la,
+ int channel, int prev_type)
+{
+ AacPsyContext *pctx = (AacPsyContext*) ctx->model_priv_data;
+ 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;
+
+ if (attacks[1] && attacks[0])
+ attacks[1] = 0;
+ if (attacks[2] && attacks[1])
+ attacks[2] = 0;
+ if (attacks[3] && attacks[2])
+ attacks[3] = 0;
+ if (attacks[4] && attacks[3])
+ attacks[4] = 0;
+ if (attacks[5] && attacks[4])
+ attacks[5] = 0;
+ if (attacks[6] && attacks[5])
+ attacks[6] = 0;
+ if (attacks[7] && attacks[6])
+ attacks[7] = 0;
+ if (attacks[8] && attacks[7])
+ attacks[8] = 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_3gpp_window,
+ .window = psy_lame_window,
.analyze = psy_3gpp_analyze,
.end = psy_3gpp_end,
};
generated by cgit v1.2.3 (git 2.26.2) at 2025-02-19 08:49:02 +0000