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avfilter: add audio spectral stats filter

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pull/375/head
Paul B Mahol 3 years ago
parent acdfc4bdfb
commit 11b11577fe
6 changed files with 672 additions and 1 deletions
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  1. 1
      Changelog
  2. 63
      doc/filters.texi
  3. 1
      libavfilter/Makefile
  4. 605
      libavfilter/af_aspectralstats.c
  5. 1
      libavfilter/allfilters.c
  6. 2
      libavfilter/version.h

1
Changelog
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@ -36,6 +36,7 @@ version <next>:
- VideoToolbox VP9 hwaccel
- VideoToolbox ProRes hwaccel
- support loongarch.
- aspectralstats audio filter
version 4.4:

63
doc/filters.texi
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@ -2695,6 +2695,69 @@ Set oversampling factor.
This filter supports the all above options as @ref{commands}.
@section aspectralstats
Display frequency domain statistical information about the audio channels.
Statistics are calculated and stored as metadata for each audio channel and for each audio frame.
It accepts the following option:
@table @option
@item win_size
Set the window length in samples. Default value is 2048.
Allowed range is from 32 to 65536.
@item win_func
Set window function.
It accepts the following values:
@table @samp
@item rect
@item bartlett
@item hann, hanning
@item hamming
@item blackman
@item welch
@item flattop
@item bharris
@item bnuttall
@item bhann
@item sine
@item nuttall
@item lanczos
@item gauss
@item tukey
@item dolph
@item cauchy
@item parzen
@item poisson
@item bohman
@end table
Default is @code{hann}.
@item overlap
Set window overlap. Allowed range is from @code{0}
to @code{1}. Default value is @code{0.5}.
@end table
A list of each metadata key follows:
@table @option
@item mean
@item variance
@item centroid
@item spread
@item skewness
@item kurtosis
@item entropy
@item flatness
@item crest
@item flux
@item slope
@item decrease
@item rolloff
@end table
@section asr
Automatic Speech Recognition

1
libavfilter/Makefile
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@ -92,6 +92,7 @@ OBJS-$(CONFIG_ASETTB_FILTER) += settb.o
OBJS-$(CONFIG_ASHOWINFO_FILTER) += af_ashowinfo.o
OBJS-$(CONFIG_ASIDEDATA_FILTER) += f_sidedata.o
OBJS-$(CONFIG_ASOFTCLIP_FILTER) += af_asoftclip.o
OBJS-$(CONFIG_ASPECTRALSTATS_FILTER) += af_aspectralstats.o
OBJS-$(CONFIG_ASPLIT_FILTER) += split.o
OBJS-$(CONFIG_ASR_FILTER) += af_asr.o
OBJS-$(CONFIG_ASTATS_FILTER) += af_astats.o

605
libavfilter/af_aspectralstats.c
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@ -0,0 +1,605 @@
/*
* Copyright (c) 2021 Paul B Mahol
*
* This file is part of FFmpeg.
*
* FFmpeg is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* FFmpeg is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with FFmpeg; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#include <float.h>
#include <math.h>
#include "libavutil/audio_fifo.h"
#include "libavutil/opt.h"
#include "libavutil/tx.h"
#include "audio.h"
#include "avfilter.h"
#include "filters.h"
#include "internal.h"
#include "window_func.h"
typedef struct ChannelSpectralStats {
float mean;
float variance;
float centroid;
float spread;
float skewness;
float kurtosis;
float entropy;
float flatness;
float crest;
float flux;
float slope;
float decrease;
float rolloff;
} ChannelSpectralStats;
typedef struct AudioSpectralStatsContext {
const AVClass *class;
int win_size;
int win_func;
float overlap;
int nb_channels;
int hop_size;
ChannelSpectralStats *stats;
AVAudioFifo *fifo;
float *window_func_lut;
int64_t pts;
int eof;
av_tx_fn tx_fn;
AVTXContext **fft;
AVComplexFloat **fft_in;
AVComplexFloat **fft_out;
float **prev_magnitude;
float **magnitude;
} AudioSpectralStatsContext;
#define OFFSET(x) offsetof(AudioSpectralStatsContext, x)
#define A AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
static const AVOption aspectralstats_options[] = {
{ "win_size", "set the window size", OFFSET(win_size), AV_OPT_TYPE_INT, {.i64=2048}, 32, 65536, A },
WIN_FUNC_OPTION("win_func", OFFSET(win_func), A, WFUNC_HANNING),
{ "overlap", "set window overlap", OFFSET(overlap), AV_OPT_TYPE_FLOAT, {.dbl=0.5}, 0, 1, A },
{ NULL }
};
AVFILTER_DEFINE_CLASS(aspectralstats);
static int config_output(AVFilterLink *outlink)
{
AudioSpectralStatsContext *s = outlink->src->priv;
float overlap, scale;
int ret;
s->nb_channels = outlink->channels;
s->fifo = av_audio_fifo_alloc(outlink->format, s->nb_channels, s->win_size);
if (!s->fifo)
return AVERROR(ENOMEM);
s->window_func_lut = av_realloc_f(s->window_func_lut, s->win_size,
sizeof(*s->window_func_lut));
if (!s->window_func_lut)
return AVERROR(ENOMEM);
generate_window_func(s->window_func_lut, s->win_size, s->win_func, &overlap);
if (s->overlap == 1.f)
s->overlap = overlap;
s->hop_size = s->win_size * (1.f - s->overlap);
if (s->hop_size <= 0)
return AVERROR(EINVAL);
s->stats = av_calloc(s->nb_channels, sizeof(*s->stats));
if (!s->stats)
return AVERROR(ENOMEM);
s->fft = av_calloc(s->nb_channels, sizeof(*s->fft));
if (!s->fft)
return AVERROR(ENOMEM);
s->magnitude = av_calloc(s->nb_channels, sizeof(*s->magnitude));
if (!s->magnitude)
return AVERROR(ENOMEM);
s->prev_magnitude = av_calloc(s->nb_channels, sizeof(*s->prev_magnitude));
if (!s->prev_magnitude)
return AVERROR(ENOMEM);
s->fft_in = av_calloc(s->nb_channels, sizeof(*s->fft_in));
if (!s->fft_in)
return AVERROR(ENOMEM);
s->fft_out = av_calloc(s->nb_channels, sizeof(*s->fft_out));
if (!s->fft_out)
return AVERROR(ENOMEM);
for (int ch = 0; ch < s->nb_channels; ch++) {
ret = av_tx_init(&s->fft[ch], &s->tx_fn, AV_TX_FLOAT_FFT, 0, s->win_size, &scale, 0);
if (ret < 0)
return ret;
s->fft_in[ch] = av_calloc(s->win_size, sizeof(**s->fft_in));
if (!s->fft_in[ch])
return AVERROR(ENOMEM);
s->fft_out[ch] = av_calloc(s->win_size, sizeof(**s->fft_out));
if (!s->fft_out[ch])
return AVERROR(ENOMEM);
s->magnitude[ch] = av_calloc(s->win_size, sizeof(**s->magnitude));
if (!s->magnitude[ch])
return AVERROR(ENOMEM);
s->prev_magnitude[ch] = av_calloc(s->win_size, sizeof(**s->prev_magnitude));
if (!s->prev_magnitude[ch])
return AVERROR(ENOMEM);
}
return 0;
}
static void set_meta(AVDictionary **metadata, int chan, const char *key,
const char *fmt, float val)
{
uint8_t value[128];
uint8_t key2[128];
snprintf(value, sizeof(value), fmt, val);
if (chan)
snprintf(key2, sizeof(key2), "lavfi.aspectralstats.%d.%s", chan, key);
else
snprintf(key2, sizeof(key2), "lavfi.aspectralstats.%s", key);
av_dict_set(metadata, key2, value, 0);
}
static void set_metadata(AudioSpectralStatsContext *s, AVDictionary **metadata)
{
for (int ch = 0; ch < s->nb_channels; ch++) {
ChannelSpectralStats *stats = &s->stats[ch];
set_meta(metadata, ch + 1, "mean", "%g", stats->mean);
set_meta(metadata, ch + 1, "variance", "%g", stats->variance);
set_meta(metadata, ch + 1, "centroid", "%g", stats->centroid);
set_meta(metadata, ch + 1, "spread", "%g", stats->spread);
set_meta(metadata, ch + 1, "skewness", "%g", stats->skewness);
set_meta(metadata, ch + 1, "kurtosis", "%g", stats->kurtosis);
set_meta(metadata, ch + 1, "entropy", "%g", stats->entropy);
set_meta(metadata, ch + 1, "flatness", "%g", stats->flatness);
set_meta(metadata, ch + 1, "crest", "%g", stats->crest);
set_meta(metadata, ch + 1, "flux", "%g", stats->flux);
set_meta(metadata, ch + 1, "slope", "%g", stats->slope);
set_meta(metadata, ch + 1, "decrease", "%g", stats->decrease);
set_meta(metadata, ch + 1, "rolloff", "%g", stats->rolloff);
}
}
static float spectral_mean(const float *const spectral, int size, int max_freq)
{
float sum = 0.f;
for (int n = 0; n < size; n++)
sum += spectral[n];
return sum / size;
}
static float sqrf(float a)
{
return a * a;
}
static float spectral_variance(const float *const spectral, int size, int max_freq, float mean)
{
float sum = 0.f;
for (int n = 0; n < size; n++)
sum += sqrf(spectral[n] - mean);
return sum / size;
}
static float spectral_centroid(const float *const spectral, int size, int max_freq)
{
const float scale = max_freq / (float)size;
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
num += spectral[n] * n * scale;
den += spectral[n];
}
if (den <= FLT_EPSILON)
return 1.f;
return num / den;
}
static float spectral_spread(const float *const spectral, int size, int max_freq, float centroid)
{
const float scale = max_freq / (float)size;
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
num += spectral[n] * sqrf(n * scale - centroid);
den += spectral[n];
}
if (den <= FLT_EPSILON)
return 1.f;
return sqrtf(num / den);
}
static float cbrf(float a)
{
return a * a * a;
}
static float spectral_skewness(const float *const spectral, int size, int max_freq, float centroid, float spread)
{
const float scale = max_freq / (float)size;
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
num += spectral[n] * cbrf(n * scale - centroid);
den += spectral[n];
}
den *= cbrf(spread);
if (den <= FLT_EPSILON)
return 1.f;
return num / den;
}
static float spectral_kurtosis(const float *const spectral, int size, int max_freq, float centroid, float spread)
{
const float scale = max_freq / (float)size;
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
num += spectral[n] * sqrf(sqrf(n * scale - centroid));
den += spectral[n];
}
den *= sqrf(sqrf(spread));
if (den <= FLT_EPSILON)
return 1.f;
return num / den;
}
static float spectral_entropy(const float *const spectral, int size, int max_freq)
{
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
num += spectral[n] * logf(spectral[n] + FLT_EPSILON);
}
den = logf(size);
if (den <= FLT_EPSILON)
return 1.f;
return -num / den;
}
static float spectral_flatness(const float *const spectral, int size, int max_freq)
{
float num = 0.f, den = 0.f;
for (int n = 0; n < size; n++) {
float v = FLT_EPSILON + spectral[n];
num += logf(v);
den += v;
}
num /= size;
den /= size;
num = expf(num);
if (den <= FLT_EPSILON)
return 0.f;
return num / den;
}
static float spectral_crest(const float *const spectral, int size, int max_freq)
{
float max = 0.f, mean = 0.f;
for (int n = 0; n < size; n++) {
max = fmaxf(max, spectral[n]);
mean += spectral[n];
}
mean /= size;
if (mean <= FLT_EPSILON)
return 0.f;
return max / mean;
}
static float spectral_flux(const float *const spectral, const float *const prev_spectral,
int size, int max_freq)
{
float sum = 0.f;
for (int n = 0; n < size; n++)
sum += sqrf(spectral[n] - prev_spectral[n]);
return sqrtf(sum);
}
static float spectral_slope(const float *const spectral, int size, int max_freq)
{
const float mean_freq = size * 0.5f;
float mean_spectral = 0.f, num = 0.f, den = 0.f;
for (int n = 0; n < size; n++)
mean_spectral += spectral[n];
mean_spectral /= size;
for (int n = 0; n < size; n++) {
num += ((n - mean_freq) / mean_freq) * (spectral[n] - mean_spectral);
den += sqrf((n - mean_freq) / mean_freq);
}
if (fabsf(den) <= FLT_EPSILON)
return 0.f;
return num / den;
}
static float spectral_decrease(const float *const spectral, int size, int max_freq)
{
float num = 0.f, den = 0.f;
for (int n = 1; n < size; n++) {
num += (spectral[n] - spectral[0]) / n;
den += spectral[n];
}
if (den <= FLT_EPSILON)
return 0.f;
return num / den;
}
static float spectral_rolloff(const float *const spectral, int size, int max_freq)
{
const float scale = max_freq / (float)size;
float norm = 0.f, sum = 0.f;
int idx = 0.f;
for (int n = 0; n < size; n++)
norm += spectral[n];
norm *= 0.85f;
for (int n = 0; n < size; n++) {
sum += spectral[n];
if (sum >= norm) {
idx = n;
break;
}
}
return idx * scale;
}
static int filter_channel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
AudioSpectralStatsContext *s = ctx->priv;
AVFrame *in = arg;
const int channels = s->nb_channels;
const int samples = in->nb_samples;
const int start = (channels * jobnr) / nb_jobs;
const int end = (channels * (jobnr+1)) / nb_jobs;
for (int ch = start; ch < end; ch++) {
const float *const src = (const float *const)in->extended_data[ch];
ChannelSpectralStats *stats = &s->stats[ch];
AVComplexFloat *fft_out = s->fft_out[ch];
AVComplexFloat *fft_in = s->fft_in[ch];
float *magnitude = s->magnitude[ch];
float *prev_magnitude = s->prev_magnitude[ch];
const float scale = 1.f / s->win_size;
for (int n = 0; n < samples; n++) {
fft_in[n].re = src[n] * s->window_func_lut[n];
fft_in[n].im = 0;
}
for (int n = in->nb_samples; n < s->win_size; n++) {
fft_in[n].re = 0;
fft_in[n].im = 0;
}
s->tx_fn(s->fft[ch], fft_out, fft_in, sizeof(float));
for (int n = 0; n < s->win_size / 2; n++) {
fft_out[n].re *= scale;
fft_out[n].im *= scale;
}
for (int n = 0; n < s->win_size / 2; n++)
magnitude[n] = hypotf(fft_out[n].re, fft_out[n].im);
stats->mean = spectral_mean(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->variance = spectral_variance(magnitude, s->win_size / 2, in->sample_rate / 2, stats->mean);
stats->centroid = spectral_centroid(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->spread = spectral_spread(magnitude, s->win_size / 2, in->sample_rate / 2, stats->centroid);
stats->skewness = spectral_skewness(magnitude, s->win_size / 2, in->sample_rate / 2, stats->centroid, stats->spread);
stats->kurtosis = spectral_kurtosis(magnitude, s->win_size / 2, in->sample_rate / 2, stats->centroid, stats->spread);
stats->entropy = spectral_entropy(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->flatness = spectral_flatness(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->crest = spectral_crest(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->flux = spectral_flux(magnitude, prev_magnitude, s->win_size / 2, in->sample_rate / 2);
stats->slope = spectral_slope(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->decrease = spectral_decrease(magnitude, s->win_size / 2, in->sample_rate / 2);
stats->rolloff = spectral_rolloff(magnitude, s->win_size / 2, in->sample_rate / 2);
memcpy(prev_magnitude, magnitude, s->win_size * sizeof(float));
}
return 0;
}
static int filter_frame(AVFilterLink *inlink)
{
AVFilterContext *ctx = inlink->dst;
AVFilterLink *outlink = ctx->outputs[0];
AudioSpectralStatsContext *s = ctx->priv;
AVDictionary **metadata;
AVFrame *out, *in = NULL;
int ret = 0;
out = ff_get_audio_buffer(outlink, s->hop_size);
if (!out) {
ret = AVERROR(ENOMEM);
goto fail;
}
if (!in) {
in = ff_get_audio_buffer(outlink, s->win_size);
if (!in)
return AVERROR(ENOMEM);
}
ret = av_audio_fifo_peek(s->fifo, (void **)in->extended_data, s->win_size);
if (ret < 0)
goto fail;
metadata = &out->metadata;
ff_filter_execute(ctx, filter_channel, in, NULL,
FFMIN(inlink->channels, ff_filter_get_nb_threads(ctx)));
set_metadata(s, metadata);
out->pts = s->pts;
s->pts += av_rescale_q(s->hop_size, (AVRational){1, outlink->sample_rate}, outlink->time_base);
av_audio_fifo_read(s->fifo, (void **)out->extended_data, s->hop_size);
av_frame_free(&in);
return ff_filter_frame(outlink, out);
fail:
av_frame_free(&in);
return ret < 0 ? ret : 0;
}
static int activate(AVFilterContext *ctx)
{
AVFilterLink *inlink = ctx->inputs[0];
AVFilterLink *outlink = ctx->outputs[0];
AudioSpectralStatsContext *s = ctx->priv;
AVFrame *in = NULL;
int ret = 0, status;
int64_t pts;
FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);
if (!s->eof && av_audio_fifo_size(s->fifo) < s->win_size) {
ret = ff_inlink_consume_frame(inlink, &in);
if (ret < 0)
return ret;
if (ret > 0) {
ret = av_audio_fifo_write(s->fifo, (void **)in->extended_data,
in->nb_samples);
if (ret >= 0 && s->pts == AV_NOPTS_VALUE)
s->pts = in->pts;
av_frame_free(&in);
if (ret < 0)
return ret;
}
}
if ((av_audio_fifo_size(s->fifo) >= s->win_size) ||
(av_audio_fifo_size(s->fifo) > 0 && s->eof)) {
ret = filter_frame(inlink);
if (av_audio_fifo_size(s->fifo) >= s->win_size)
ff_filter_set_ready(ctx, 100);
return ret;
}
if (!s->eof && ff_inlink_acknowledge_status(inlink, &status, &pts)) {
if (status == AVERROR_EOF) {
s->eof = 1;
if (av_audio_fifo_size(s->fifo) >= 0) {
ff_filter_set_ready(ctx, 100);
return 0;
}
}
}
if (s->eof && av_audio_fifo_size(s->fifo) <= 0) {
ff_outlink_set_status(outlink, AVERROR_EOF, s->pts);
return 0;
}
if (!s->eof)
FF_FILTER_FORWARD_WANTED(outlink, inlink);
return FFERROR_NOT_READY;
}
static av_cold void uninit(AVFilterContext *ctx)
{
AudioSpectralStatsContext *s = ctx->priv;
for (int ch = 0; ch < s->nb_channels; ch++) {
if (s->fft)
av_tx_uninit(&s->fft[ch]);
if (s->fft_in)
av_freep(&s->fft_in[ch]);
if (s->fft_out)
av_freep(&s->fft_out[ch]);
if (s->magnitude)
av_freep(&s->magnitude[ch]);
if (s->prev_magnitude)
av_freep(&s->prev_magnitude[ch]);
}
av_freep(&s->fft);
av_freep(&s->magnitude);
av_freep(&s->prev_magnitude);
av_freep(&s->fft_in);
av_freep(&s->fft_out);
av_freep(&s->stats);
av_freep(&s->window_func_lut);
av_audio_fifo_free(s->fifo);
s->fifo = NULL;
}
static const AVFilterPad aspectralstats_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_AUDIO,
},
};
static const AVFilterPad aspectralstats_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_AUDIO,
.config_props = config_output,
},
};
const AVFilter ff_af_aspectralstats = {
.name = "aspectralstats",
.description = NULL_IF_CONFIG_SMALL("Show frequency domain statistics about audio frames."),
.priv_size = sizeof(AudioSpectralStatsContext),
.priv_class = &aspectralstats_class,
.uninit = uninit,
.activate = activate,
FILTER_INPUTS(aspectralstats_inputs),
FILTER_OUTPUTS(aspectralstats_outputs),
FILTER_SINGLE_SAMPLEFMT(AV_SAMPLE_FMT_FLTP),
.flags = AVFILTER_FLAG_SLICE_THREADS,
};

1
libavfilter/allfilters.c
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@ -85,6 +85,7 @@ extern const AVFilter ff_af_asettb;
extern const AVFilter ff_af_ashowinfo;
extern const AVFilter ff_af_asidedata;
extern const AVFilter ff_af_asoftclip;
extern const AVFilter ff_af_aspectralstats;
extern const AVFilter ff_af_asplit;
extern const AVFilter ff_af_asr;
extern const AVFilter ff_af_astats;

2
libavfilter/version.h
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@ -30,7 +30,7 @@
#include "libavutil/version.h"
#define LIBAVFILTER_VERSION_MAJOR 8
#define LIBAVFILTER_VERSION_MINOR 17
#define LIBAVFILTER_VERSION_MINOR 18
#define LIBAVFILTER_VERSION_MICRO 100

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