virtualenv/FFmpeg
1
0
Fork 0
mirror of https://github.com/FFmpeg/FFmpeg.git synced 2025-10-30 23:18:11 +02:00
Code Issues Releases Activity

avfilter/af_afftdn: rewrite noise floor tracking

Browse Source
This commit is contained in:
Paul B Mahol
2022-03-16 00:10:11 +01:00
parent 77d20a0f74
commit ccb81acc3d
1 changed files with 61 additions and 179 deletions
Download Patch File Download Diff File Expand all files Collapse all files

240
libavfilter/af_afftdn.c
View File

@@ -92,11 +92,6 @@ typedef struct DeNoiseChannel {
double noise_band_avi[NB_PROFILE_BANDS];
double noise_band_var[NB_PROFILE_BANDS];
double sfm_threshold;
double sfm_alpha;
double sfm_results[3];
int sfm_fail_flags[SFM_FLAGS_SIZE];
int sfm_fail_total;
double noise_reduction;
double last_noise_reduction;
double noise_floor;
@@ -155,7 +150,6 @@ typedef struct AudioFFTDeNoiseContext {
double window_weight;
double floor;
double sample_floor;
double auto_floor;
int noise_band_edge[NB_PROFILE_BANDS + 2];
int noise_band_count;
@@ -301,42 +295,6 @@ static double process_get_band_noise(AudioFFTDeNoiseContext *s,
return sum;
}
static void calculate_sfm(AudioFFTDeNoiseContext *s,
DeNoiseChannel *dnch,
int start, int end)
{
double d1 = 0.0, d2 = 1.0;
int i = 0, j = 0;
for (int k = start; k < end; k++) {
if (dnch->noisy_data[k] > s->sample_floor) {
j++;
d1 += dnch->noisy_data[k];
d2 *= dnch->noisy_data[k];
if (d2 > 1.0E100) {
d2 *= 1.0E-100;
i++;
} else if (d2 < 1.0E-100) {
d2 *= 1.0E100;
i--;
}
}
}
if (j > 1) {
d1 /= j;
dnch->sfm_results[0] = d1;
d2 = log(d2) + 230.2585 * i;
d2 /= j;
d1 = log(d1);
dnch->sfm_results[1] = d1;
dnch->sfm_results[2] = d1 - d2;
} else {
dnch->sfm_results[0] = s->auto_floor;
dnch->sfm_results[1] = dnch->sfm_threshold;
dnch->sfm_results[2] = dnch->sfm_threshold;
}
}
static double limit_gain(double a, double b)
{
if (a > 1.0)
@@ -346,116 +304,88 @@ static double limit_gain(double a, double b)
return 1.0;
}
static void spectral_flatness(AudioFFTDeNoiseContext *s, const double *const spectral,
double floor, int len, double *rnum, double *rden)
{
double num = 0., den = 0.;
int size = 0;
for (int n = 0; n < len; n++) {
const double v = spectral[n];
if (v > floor) {
num += log(v);
den += v;
size++;
}
}
size = FFMAX(size, 1);
num /= size;
den /= size;
num = exp(num);
*rnum = num;
*rden = den;
}
static void set_parameters(AudioFFTDeNoiseContext *s, DeNoiseChannel *dnch, int update_var, int update_auto_var);
static double floor_offset(const double *S, int size, double mean)
{
double offset = 0.0;
for (int n = 0; n < size; n++) {
const double p = S[n] - mean;
offset = fmax(offset, fabs(p));
}
return offset / mean;
}
static void process_frame(AVFilterContext *ctx,
AudioFFTDeNoiseContext *s, DeNoiseChannel *dnch,
AVComplexFloat *fft_data,
double *prior, double *prior_band_excit, int track_noise)
{
AVFilterLink *outlink = ctx->outputs[0];
const double sample_floor = s->sample_floor;
const double *abs_var = dnch->abs_var;
const double ratio = outlink->frame_count_out ? s->ratio : 1.0;
const double rratio = 1. - ratio;
const int *bin2band = s->bin2band;
double *noisy_data = dnch->noisy_data;
double *band_excit = dnch->band_excit;
double *band_amt = dnch->band_amt;
double *gain = dnch->gain;
int n = 0, i1;
for (int i = 0; i < s->fft_length2; i++) {
double sqr_new_gain, new_gain, mag, mag_abs_var, new_mag_abs_var;
for (int i = 0; i < s->bin_count; i++) {
double sqr_new_gain, new_gain, power, mag, mag_abs_var, new_mag_abs_var;
mag = fft_data[i].re * fft_data[i].re + fft_data[i].im * fft_data[i].im;
if (mag > sample_floor)
n = i;
dnch->noisy_data[i] = mag;
mag_abs_var = mag / abs_var[i];
noisy_data[i] = mag = hypot(fft_data[i].re, fft_data[i].im);
power = mag * mag;
mag_abs_var = power / abs_var[i];
new_mag_abs_var = ratio * prior[i] + rratio * fmax(mag_abs_var - 1.0, 0.0);
new_gain = new_mag_abs_var / (1.0 + new_mag_abs_var);
sqr_new_gain = new_gain * new_gain;
prior[i] = mag_abs_var * sqr_new_gain;
dnch->clean_data[i] = mag * sqr_new_gain;
dnch->clean_data[i] = power * sqr_new_gain;
gain[i] = new_gain;
}
if (n > s->fft_length2 - 2) {
n = s->bin_count;
i1 = s->noise_band_count;
} else {
i1 = 0;
for (int i = 0; i <= s->noise_band_count; i++) {
if (n > 1.1 * s->noise_band_edge[i]) {
i1 = i;
}
}
}
if (track_noise) {
double flatness, num, den;
if (track_noise && (i1 > s->noise_band_count / 2)) {
int j = FFMIN(n, s->noise_band_edge[i1]);
int m = 3, k;
spectral_flatness(s, noisy_data, s->floor, s->bin_count, &num, &den);
for (k = i1 - 1; k >= 0; k--) {
int i = s->noise_band_edge[k];
calculate_sfm(s, dnch, i, j);
dnch->noise_band_sample[k] = dnch->sfm_results[0];
if (dnch->sfm_results[2] + 0.013 * m * fmax(0.0, dnch->sfm_results[1] - 20.53) >= dnch->sfm_threshold) {
break;
}
j = i;
m++;
}
flatness = num / den;
if (flatness > 0.8) {
const double offset = floor_offset(noisy_data, s->bin_count, den);
const double new_floor = av_clipd(10.0 * log10(den) - 100.0 + offset, -90., -20.);
if (k < i1 - 1) {
double sum = 0.0, min, max;
int i;
for (i = i1 - 1; i > k; i--) {
min = log(dnch->noise_band_sample[i] / dnch->noise_band_auto_var[i]);
sum += min;
}
i = i1 - k - 1;
if (i < 5) {
min = 3.0E-4 * i * i;
} else {
min = 3.0E-4 * (8 * i - 16);
}
if (i < 3) {
max = 2.0E-4 * i * i;
} else {
max = 2.0E-4 * (4 * i - 4);
}
if (s->track_residual) {
if (dnch->last_noise_floor > dnch->last_residual_floor + 9) {
min *= 0.5;
max *= 0.75;
} else if (dnch->last_noise_floor > dnch->last_residual_floor + 6) {
min *= 0.4;
max *= 1.0;
} else if (dnch->last_noise_floor > dnch->last_residual_floor + 4) {
min *= 0.3;
max *= 1.3;
} else if (dnch->last_noise_floor > dnch->last_residual_floor + 2) {
min *= 0.2;
max *= 1.6;
} else if (dnch->last_noise_floor > dnch->last_residual_floor) {
min *= 0.1;
max *= 2.0;
} else {
min = 0.0;
max *= 2.5;
}
}
sum = av_clipd(sum, -min, max);
sum = exp(sum);
for (int i = 0; i < NB_PROFILE_BANDS; i++)
dnch->noise_band_auto_var[i] *= sum;
} else if (dnch->sfm_results[2] >= dnch->sfm_threshold) {
dnch->sfm_fail_flags[s->block_count & SFM_FLAGS_MASK] = 1;
dnch->sfm_fail_total += 1;
dnch->noise_floor = 0.1 * new_floor + dnch->noise_floor * 0.9;
set_parameters(s, dnch, 1, 0);
}
}
@@ -495,7 +425,7 @@ static void process_frame(AVFilterContext *ctx,
}
}
for (int i = 0; i < s->fft_length2; i++) {
for (int i = 0; i < s->bin_count; i++) {
const double new_gain = gain[i];
fft_data[i].re *= new_gain;
@@ -556,7 +486,6 @@ static void set_band_parameters(AudioFFTDeNoiseContext *s,
d4 = (m - i) / d2;
dnch->rel_var[m] = exp((d5 * d3 + band_noise * d4) * C);
}
dnch->rel_var[s->fft_length2] = exp(band_noise * C);
for (i = 0; i < NB_PROFILE_BANDS; i++)
dnch->noise_band_auto_var[i] = dnch->max_var * exp((process_get_band_noise(s, dnch, i) - 2.0) * C);
@@ -667,7 +596,7 @@ static int config_input(AVFilterLink *inlink)
s->fft_length2 = 1 << (32 - ff_clz(s->window_length));
s->fft_length = s->fft_length2;
s->buffer_length = s->fft_length * 2;
s->bin_count = s->fft_length2 + 1;
s->bin_count = s->fft_length2 / 2 + 1;
s->band_centre[0] = 80;
for (i = 1; i < NB_PROFILE_BANDS; i++) {
@@ -712,7 +641,7 @@ static int config_input(AVFilterLink *inlink)
for (i = 0; i < s->bin_count; i++)
s->bin2band[i] = lrint(sdiv * freq2bark((0.5 * i * s->sample_rate) / s->fft_length2));
s->number_of_bands = s->bin2band[s->fft_length2] + 1;
s->number_of_bands = s->bin2band[s->bin_count - 1] + 1;
s->band_alpha = av_calloc(s->number_of_bands, sizeof(*s->band_alpha));
s->band_beta = av_calloc(s->number_of_bands, sizeof(*s->band_beta));
@@ -745,19 +674,6 @@ static int config_input(AVFilterLink *inlink)
reduce_mean(dnch->band_noise);
dnch->sfm_threshold = 0.8;
dnch->sfm_alpha = 0.05;
for (i = 0; i < SFM_FLAGS_SIZE; i++)
dnch->sfm_fail_flags[i] = 0;
dnch->sfm_fail_total = 0;
j = FFMAX((int)(10.0 * (1.3 - dnch->sfm_threshold)), 1);
for (i = 0; i < SFM_FLAGS_SIZE; i += j) {
dnch->sfm_fail_flags[i] = 1;
dnch->sfm_fail_total += 1;
}
dnch->amt = av_calloc(s->bin_count, sizeof(*dnch->amt));
dnch->band_amt = av_calloc(s->number_of_bands, sizeof(*dnch->band_amt));
dnch->band_excit = av_calloc(s->number_of_bands, sizeof(*dnch->band_excit));
@@ -884,7 +800,6 @@ static int config_input(AVFilterLink *inlink)
s->window_weight = 0.5 * sum;
s->floor = (1LL << 48) * exp(-23.025558369790467) * s->window_weight;
s->sample_floor = s->floor * exp(4.144600506562284);
s->auto_floor = s->floor * exp(6.907667510937141);
for (int ch = 0; ch < inlink->ch_layout.nb_channels; ch++) {
DeNoiseChannel *dnch = &s->dnch[ch];
@@ -965,7 +880,6 @@ static void sample_noise_block(AudioFFTDeNoiseContext *s,
mag2 = fmax(mag2, s->sample_floor);
dnch->noisy_data[i] = mag2;
var += mag2;
n++;
}
@@ -1034,7 +948,7 @@ static void set_noise_profile(AudioFFTDeNoiseContext *s,
for (int m = 0; m < NB_PROFILE_BANDS; m++)
temp[m] -= d1;
new_noise_floor = round(d1) + 2.5;
new_noise_floor = d1;
if (new_profile) {
av_log(s, AV_LOG_INFO, "bn=");
@@ -1066,16 +980,6 @@ static int filter_channel(AVFilterContext *ctx, void *arg, int jobnr, int nb_job
double *dst = dnch->out_samples;
float *fft_in = dnch->fft_in;
if (s->track_noise) {
int i = s->block_count & SFM_FLAGS_MASK;
if (dnch->sfm_fail_flags[i])
dnch->sfm_fail_total--;
dnch->sfm_fail_flags[i] = 0;
dnch->sfm_threshold *= 1.0 - dnch->sfm_alpha;
dnch->sfm_threshold += dnch->sfm_alpha * ((1.0 / SFM_FLAGS_SIZE) * dnch->sfm_fail_total);
}
for (int m = 0; m < window_length; m++)
fft_in[m] = window[m] * src[m] * (1LL << 23);
@@ -1098,25 +1002,6 @@ static int filter_channel(AVFilterContext *ctx, void *arg, int jobnr, int nb_job
return 0;
}
static void get_auto_noise_levels(AudioFFTDeNoiseContext *s,
DeNoiseChannel *dnch,
double *levels)
{
if (s->noise_band_count > 0) {
for (int i = 0; i < s->noise_band_count; i++) {
levels[i] = 10.0 * log10(dnch->noise_band_auto_var[i] / s->floor) - 100.0;
}
if (s->noise_band_count < NB_PROFILE_BANDS) {
for (int i = s->noise_band_count; i < NB_PROFILE_BANDS; i++)
levels[i] = levels[i - 1];
}
} else {
for (int i = 0; i < NB_PROFILE_BANDS; i++) {
levels[i] = -100.0;
}
}
}
static int output_frame(AVFilterLink *inlink, AVFrame *in)
{
AVFilterContext *ctx = inlink->dst;
@@ -1139,10 +1024,7 @@ static int output_frame(AVFilterLink *inlink, AVFrame *in)
for (int ch = 0; ch < inlink->ch_layout.nb_channels; ch++) {
DeNoiseChannel *dnch = &s->dnch[ch];
double levels[NB_PROFILE_BANDS];
get_auto_noise_levels(s, dnch, levels);
set_noise_profile(s, dnch, levels, 0);
average += dnch->noise_floor;
max = fmax(max, dnch->noise_floor);
min = fmin(min, dnch->noise_floor);