2020-05-02 18:27:37 +00:00
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/*
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* Copyright (c) 2020 Paul B Mahol
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*
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* Speech Normalizer
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg 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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* FFmpeg 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 FFmpeg; 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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* Speech Normalizer
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*/
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#include <float.h>
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#include "libavutil/avassert.h"
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#include "libavutil/opt.h"
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#define FF_BUFQUEUE_SIZE (1024)
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#include "bufferqueue.h"
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#include "audio.h"
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#include "avfilter.h"
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#include "filters.h"
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#include "internal.h"
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#define MAX_ITEMS 882000
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#define MIN_PEAK (1. / 32768.)
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typedef struct PeriodItem {
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int size;
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int type;
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double max_peak;
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} PeriodItem;
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typedef struct ChannelContext {
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int state;
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int bypass;
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PeriodItem pi[MAX_ITEMS];
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double gain_state;
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double pi_max_peak;
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int pi_start;
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int pi_end;
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int pi_size;
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} ChannelContext;
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typedef struct SpeechNormalizerContext {
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const AVClass *class;
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double peak_value;
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double max_expansion;
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double max_compression;
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double threshold_value;
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double raise_amount;
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double fall_amount;
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uint64_t channels;
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int invert;
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int link;
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ChannelContext *cc;
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double prev_gain;
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int max_period;
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int eof;
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int64_t pts;
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struct FFBufQueue queue;
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void (*analyze_channel)(AVFilterContext *ctx, ChannelContext *cc,
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const uint8_t *srcp, int nb_samples);
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void (*filter_channels[2])(AVFilterContext *ctx,
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AVFrame *in, int nb_samples);
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} SpeechNormalizerContext;
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#define OFFSET(x) offsetof(SpeechNormalizerContext, x)
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#define FLAGS AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_RUNTIME_PARAM
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static const AVOption speechnorm_options[] = {
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{ "peak", "set the peak value", OFFSET(peak_value), AV_OPT_TYPE_DOUBLE, {.dbl=0.95}, 0.0, 1.0, FLAGS },
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{ "p", "set the peak value", OFFSET(peak_value), AV_OPT_TYPE_DOUBLE, {.dbl=0.95}, 0.0, 1.0, FLAGS },
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{ "expansion", "set the max expansion factor", OFFSET(max_expansion), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS },
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{ "e", "set the max expansion factor", OFFSET(max_expansion), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS },
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{ "compression", "set the max compression factor", OFFSET(max_compression), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS },
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{ "c", "set the max compression factor", OFFSET(max_compression), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS },
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{ "threshold", "set the threshold value", OFFSET(threshold_value), AV_OPT_TYPE_DOUBLE, {.dbl=0}, 0.0, 1.0, FLAGS },
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{ "t", "set the threshold value", OFFSET(threshold_value), AV_OPT_TYPE_DOUBLE, {.dbl=0}, 0.0, 1.0, FLAGS },
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{ "raise", "set the expansion raising amount", OFFSET(raise_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS },
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{ "r", "set the expansion raising amount", OFFSET(raise_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS },
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{ "fall", "set the compression raising amount", OFFSET(fall_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS },
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{ "f", "set the compression raising amount", OFFSET(fall_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS },
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{ "channels", "set channels to filter", OFFSET(channels), AV_OPT_TYPE_CHANNEL_LAYOUT, {.i64=-1}, INT64_MIN, INT64_MAX, FLAGS },
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{ "h", "set channels to filter", OFFSET(channels), AV_OPT_TYPE_CHANNEL_LAYOUT, {.i64=-1}, INT64_MIN, INT64_MAX, FLAGS },
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{ "invert", "set inverted filtering", OFFSET(invert), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS },
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{ "i", "set inverted filtering", OFFSET(invert), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS },
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{ "link", "set linked channels filtering", OFFSET(link), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS },
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{ "l", "set linked channels filtering", OFFSET(link), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS },
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(speechnorm);
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static int query_formats(AVFilterContext *ctx)
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{
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AVFilterFormats *formats;
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AVFilterChannelLayouts *layouts;
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static const enum AVSampleFormat sample_fmts[] = {
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AV_SAMPLE_FMT_FLTP, AV_SAMPLE_FMT_DBLP,
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AV_SAMPLE_FMT_NONE
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};
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int ret;
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layouts = ff_all_channel_counts();
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if (!layouts)
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return AVERROR(ENOMEM);
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ret = ff_set_common_channel_layouts(ctx, layouts);
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if (ret < 0)
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return ret;
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formats = ff_make_format_list(sample_fmts);
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if (!formats)
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return AVERROR(ENOMEM);
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ret = ff_set_common_formats(ctx, formats);
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if (ret < 0)
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return ret;
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formats = ff_all_samplerates();
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if (!formats)
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return AVERROR(ENOMEM);
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return ff_set_common_samplerates(ctx, formats);
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}
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static int get_pi_samples(PeriodItem *pi, int start, int end, int remain)
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{
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int sum;
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if (pi[start].type == 0)
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return remain;
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sum = remain;
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while (start != end) {
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start++;
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if (start >= MAX_ITEMS)
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start = 0;
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if (pi[start].type == 0)
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break;
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av_assert0(pi[start].size > 0);
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sum += pi[start].size;
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}
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return sum;
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}
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static int available_samples(AVFilterContext *ctx)
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{
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SpeechNormalizerContext *s = ctx->priv;
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AVFilterLink *inlink = ctx->inputs[0];
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int min_pi_nb_samples;
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min_pi_nb_samples = get_pi_samples(s->cc[0].pi, s->cc[0].pi_start, s->cc[0].pi_end, s->cc[0].pi_size);
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for (int ch = 1; ch < inlink->channels && min_pi_nb_samples > 0; ch++) {
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ChannelContext *cc = &s->cc[ch];
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min_pi_nb_samples = FFMIN(min_pi_nb_samples, get_pi_samples(cc->pi, cc->pi_start, cc->pi_end, cc->pi_size));
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}
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return min_pi_nb_samples;
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}
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static void consume_pi(ChannelContext *cc, int nb_samples)
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{
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if (cc->pi_size >= nb_samples) {
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cc->pi_size -= nb_samples;
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} else {
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av_assert0(0);
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}
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}
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static double next_gain(AVFilterContext *ctx, double pi_max_peak, int bypass, double state)
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{
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SpeechNormalizerContext *s = ctx->priv;
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const double expansion = FFMIN(s->max_expansion, s->peak_value / pi_max_peak);
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const double compression = 1. / s->max_compression;
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const int type = s->invert ? pi_max_peak <= s->threshold_value : pi_max_peak >= s->threshold_value;
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if (bypass) {
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return 1.;
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} else if (type) {
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return FFMIN(expansion, state + s->raise_amount);
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} else {
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return FFMIN(expansion, FFMAX(compression, state - s->fall_amount));
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}
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}
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static void next_pi(AVFilterContext *ctx, ChannelContext *cc, int bypass)
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{
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av_assert0(cc->pi_size >= 0);
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if (cc->pi_size == 0) {
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SpeechNormalizerContext *s = ctx->priv;
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int start = cc->pi_start;
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av_assert0(cc->pi[start].size > 0);
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av_assert0(cc->pi[start].type > 0 || s->eof);
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cc->pi_size = cc->pi[start].size;
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cc->pi_max_peak = cc->pi[start].max_peak;
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av_assert0(cc->pi_start != cc->pi_end || s->eof);
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start++;
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if (start >= MAX_ITEMS)
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start = 0;
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cc->pi_start = start;
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cc->gain_state = next_gain(ctx, cc->pi_max_peak, bypass, cc->gain_state);
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}
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}
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static double min_gain(AVFilterContext *ctx, ChannelContext *cc, int max_size)
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{
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SpeechNormalizerContext *s = ctx->priv;
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double min_gain = s->max_expansion;
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double gain_state = cc->gain_state;
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int size = cc->pi_size;
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int idx = cc->pi_start;
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min_gain = FFMIN(min_gain, gain_state);
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while (size <= max_size) {
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if (idx == cc->pi_end)
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break;
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gain_state = next_gain(ctx, cc->pi[idx].max_peak, 0, gain_state);
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min_gain = FFMIN(min_gain, gain_state);
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size += cc->pi[idx].size;
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idx++;
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if (idx >= MAX_ITEMS)
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idx = 0;
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}
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return min_gain;
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}
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#define ANALYZE_CHANNEL(name, ptype, zero) \
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static void analyze_channel_## name (AVFilterContext *ctx, ChannelContext *cc, \
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const uint8_t *srcp, int nb_samples) \
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{ \
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SpeechNormalizerContext *s = ctx->priv; \
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const ptype *src = (const ptype *)srcp; \
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int n = 0; \
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\
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if (cc->state < 0) \
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cc->state = src[0] >= zero; \
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\
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while (n < nb_samples) { \
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if ((cc->state != (src[n] >= zero)) || \
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(cc->pi[cc->pi_end].size > s->max_period)) { \
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double max_peak = cc->pi[cc->pi_end].max_peak; \
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int state = cc->state; \
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cc->state = src[n] >= zero; \
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av_assert0(cc->pi[cc->pi_end].size > 0); \
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if (cc->pi[cc->pi_end].max_peak >= MIN_PEAK || \
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cc->pi[cc->pi_end].size > s->max_period) { \
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cc->pi[cc->pi_end].type = 1; \
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cc->pi_end++; \
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if (cc->pi_end >= MAX_ITEMS) \
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cc->pi_end = 0; \
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if (cc->state != state) \
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cc->pi[cc->pi_end].max_peak = DBL_MIN; \
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else \
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cc->pi[cc->pi_end].max_peak = max_peak; \
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cc->pi[cc->pi_end].type = 0; \
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cc->pi[cc->pi_end].size = 0; \
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av_assert0(cc->pi_end != cc->pi_start); \
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} \
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} \
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\
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if (cc->state) { \
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while (src[n] >= zero) { \
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cc->pi[cc->pi_end].max_peak = FFMAX(cc->pi[cc->pi_end].max_peak, src[n]); \
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cc->pi[cc->pi_end].size++; \
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n++; \
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if (n >= nb_samples) \
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break; \
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} \
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} else { \
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while (src[n] < zero) { \
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cc->pi[cc->pi_end].max_peak = FFMAX(cc->pi[cc->pi_end].max_peak, -src[n]); \
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cc->pi[cc->pi_end].size++; \
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n++; \
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if (n >= nb_samples) \
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break; \
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} \
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} \
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} \
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}
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ANALYZE_CHANNEL(dbl, double, 0.0)
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ANALYZE_CHANNEL(flt, float, 0.f)
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#define FILTER_CHANNELS(name, ptype) \
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static void filter_channels_## name (AVFilterContext *ctx, \
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AVFrame *in, int nb_samples) \
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{ \
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SpeechNormalizerContext *s = ctx->priv; \
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AVFilterLink *inlink = ctx->inputs[0]; \
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\
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for (int ch = 0; ch < inlink->channels; ch++) { \
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ChannelContext *cc = &s->cc[ch]; \
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ptype *dst = (ptype *)in->extended_data[ch]; \
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const int bypass = !(av_channel_layout_extract_channel(inlink->channel_layout, ch) & s->channels); \
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int n = 0; \
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\
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while (n < nb_samples) { \
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ptype gain; \
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int size; \
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\
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next_pi(ctx, cc, bypass); \
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size = FFMIN(nb_samples - n, cc->pi_size); \
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av_assert0(size > 0); \
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gain = cc->gain_state; \
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consume_pi(cc, size); \
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for (int i = n; i < n + size; i++) \
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dst[i] *= gain; \
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n += size; \
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} \
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} \
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}
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FILTER_CHANNELS(dbl, double)
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FILTER_CHANNELS(flt, float)
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static double lerp(double min, double max, double mix)
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{
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return min + (max - min) * mix;
|
|
|
|
}
|
|
|
|
|
|
|
|
#define FILTER_LINK_CHANNELS(name, ptype) \
|
|
|
|
static void filter_link_channels_## name (AVFilterContext *ctx, \
|
|
|
|
AVFrame *in, int nb_samples) \
|
|
|
|
{ \
|
|
|
|
SpeechNormalizerContext *s = ctx->priv; \
|
|
|
|
AVFilterLink *inlink = ctx->inputs[0]; \
|
|
|
|
int n = 0; \
|
|
|
|
\
|
|
|
|
while (n < nb_samples) { \
|
|
|
|
int min_size = nb_samples - n; \
|
|
|
|
int max_size = 1; \
|
|
|
|
ptype gain = s->max_expansion; \
|
|
|
|
\
|
|
|
|
for (int ch = 0; ch < inlink->channels; ch++) { \
|
|
|
|
ChannelContext *cc = &s->cc[ch]; \
|
|
|
|
\
|
|
|
|
cc->bypass = !(av_channel_layout_extract_channel(inlink->channel_layout, ch) & s->channels); \
|
|
|
|
\
|
|
|
|
next_pi(ctx, cc, cc->bypass); \
|
|
|
|
min_size = FFMIN(min_size, cc->pi_size); \
|
|
|
|
max_size = FFMAX(max_size, cc->pi_size); \
|
|
|
|
} \
|
|
|
|
\
|
|
|
|
av_assert0(min_size > 0); \
|
|
|
|
for (int ch = 0; ch < inlink->channels; ch++) { \
|
|
|
|
ChannelContext *cc = &s->cc[ch]; \
|
|
|
|
\
|
|
|
|
if (cc->bypass) \
|
|
|
|
continue; \
|
|
|
|
gain = FFMIN(gain, min_gain(ctx, cc, max_size)); \
|
|
|
|
} \
|
|
|
|
\
|
|
|
|
for (int ch = 0; ch < inlink->channels; ch++) { \
|
|
|
|
ChannelContext *cc = &s->cc[ch]; \
|
|
|
|
ptype *dst = (ptype *)in->extended_data[ch]; \
|
|
|
|
\
|
|
|
|
consume_pi(cc, min_size); \
|
|
|
|
if (cc->bypass) \
|
|
|
|
continue; \
|
|
|
|
\
|
|
|
|
for (int i = n; i < n + min_size; i++) { \
|
|
|
|
ptype g = lerp(s->prev_gain, gain, (i - n) / (double)min_size); \
|
|
|
|
dst[i] *= g; \
|
|
|
|
} \
|
|
|
|
} \
|
|
|
|
\
|
|
|
|
s->prev_gain = gain; \
|
|
|
|
n += min_size; \
|
|
|
|
} \
|
|
|
|
}
|
|
|
|
|
|
|
|
FILTER_LINK_CHANNELS(dbl, double)
|
|
|
|
FILTER_LINK_CHANNELS(flt, float)
|
|
|
|
|
|
|
|
static int filter_frame(AVFilterContext *ctx)
|
|
|
|
{
|
|
|
|
SpeechNormalizerContext *s = ctx->priv;
|
|
|
|
AVFilterLink *outlink = ctx->outputs[0];
|
|
|
|
AVFilterLink *inlink = ctx->inputs[0];
|
|
|
|
int ret;
|
|
|
|
|
|
|
|
while (s->queue.available > 0) {
|
|
|
|
int min_pi_nb_samples;
|
|
|
|
AVFrame *in;
|
|
|
|
|
|
|
|
in = ff_bufqueue_peek(&s->queue, 0);
|
|
|
|
if (!in)
|
|
|
|
break;
|
|
|
|
|
|
|
|
min_pi_nb_samples = available_samples(ctx);
|
|
|
|
if (min_pi_nb_samples < in->nb_samples && !s->eof)
|
|
|
|
break;
|
|
|
|
|
|
|
|
in = ff_bufqueue_get(&s->queue);
|
|
|
|
|
|
|
|
av_frame_make_writable(in);
|
|
|
|
|
|
|
|
s->filter_channels[s->link](ctx, in, in->nb_samples);
|
|
|
|
|
|
|
|
s->pts = in->pts + in->nb_samples;
|
|
|
|
|
|
|
|
return ff_filter_frame(outlink, in);
|
|
|
|
}
|
|
|
|
|
|
|
|
for (int f = 0; f < ff_inlink_queued_frames(inlink); f++) {
|
|
|
|
AVFrame *in;
|
|
|
|
|
|
|
|
ret = ff_inlink_consume_frame(inlink, &in);
|
|
|
|
if (ret < 0)
|
|
|
|
return ret;
|
|
|
|
if (ret == 0)
|
|
|
|
break;
|
|
|
|
|
|
|
|
ff_bufqueue_add(ctx, &s->queue, in);
|
|
|
|
|
|
|
|
for (int ch = 0; ch < inlink->channels; ch++) {
|
|
|
|
ChannelContext *cc = &s->cc[ch];
|
|
|
|
|
|
|
|
s->analyze_channel(ctx, cc, in->extended_data[ch], in->nb_samples);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
return 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
static int activate(AVFilterContext *ctx)
|
|
|
|
{
|
|
|
|
AVFilterLink *inlink = ctx->inputs[0];
|
|
|
|
AVFilterLink *outlink = ctx->outputs[0];
|
|
|
|
SpeechNormalizerContext *s = ctx->priv;
|
|
|
|
int ret, status;
|
|
|
|
int64_t pts;
|
|
|
|
|
|
|
|
FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);
|
|
|
|
|
|
|
|
ret = filter_frame(ctx);
|
|
|
|
if (ret <= 0)
|
|
|
|
return ret;
|
|
|
|
|
|
|
|
if (!s->eof && ff_inlink_acknowledge_status(inlink, &status, &pts)) {
|
|
|
|
if (status == AVERROR_EOF)
|
|
|
|
s->eof = 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (s->eof && ff_inlink_queued_samples(inlink) == 0 &&
|
|
|
|
s->queue.available == 0) {
|
|
|
|
ff_outlink_set_status(outlink, AVERROR_EOF, s->pts);
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (s->queue.available > 0) {
|
|
|
|
AVFrame *in = ff_bufqueue_peek(&s->queue, 0);
|
|
|
|
const int nb_samples = available_samples(ctx);
|
|
|
|
|
|
|
|
if (nb_samples >= in->nb_samples || s->eof) {
|
|
|
|
ff_filter_set_ready(ctx, 10);
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
FF_FILTER_FORWARD_WANTED(outlink, inlink);
|
|
|
|
|
|
|
|
return FFERROR_NOT_READY;
|
|
|
|
}
|
|
|
|
|
|
|
|
static int config_input(AVFilterLink *inlink)
|
|
|
|
{
|
|
|
|
AVFilterContext *ctx = inlink->dst;
|
|
|
|
SpeechNormalizerContext *s = ctx->priv;
|
|
|
|
|
|
|
|
s->max_period = inlink->sample_rate / 10;
|
|
|
|
|
|
|
|
s->prev_gain = 1.;
|
|
|
|
s->cc = av_calloc(inlink->channels, sizeof(*s->cc));
|
|
|
|
if (!s->cc)
|
|
|
|
return AVERROR(ENOMEM);
|
|
|
|
|
|
|
|
for (int ch = 0; ch < inlink->channels; ch++) {
|
|
|
|
ChannelContext *cc = &s->cc[ch];
|
|
|
|
|
|
|
|
cc->state = -1;
|
|
|
|
cc->gain_state = 1.;
|
|
|
|
}
|
|
|
|
|
|
|
|
switch (inlink->format) {
|
|
|
|
case AV_SAMPLE_FMT_FLTP:
|
|
|
|
s->analyze_channel = analyze_channel_flt;
|
|
|
|
s->filter_channels[0] = filter_channels_flt;
|
|
|
|
s->filter_channels[1] = filter_link_channels_flt;
|
|
|
|
break;
|
|
|
|
case AV_SAMPLE_FMT_DBLP:
|
|
|
|
s->analyze_channel = analyze_channel_dbl;
|
|
|
|
s->filter_channels[0] = filter_channels_dbl;
|
|
|
|
s->filter_channels[1] = filter_link_channels_dbl;
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
av_assert0(0);
|
|
|
|
}
|
|
|
|
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
static int process_command(AVFilterContext *ctx, const char *cmd, const char *args,
|
|
|
|
char *res, int res_len, int flags)
|
|
|
|
{
|
|
|
|
SpeechNormalizerContext *s = ctx->priv;
|
|
|
|
int link = s->link;
|
|
|
|
int ret;
|
|
|
|
|
|
|
|
ret = ff_filter_process_command(ctx, cmd, args, res, res_len, flags);
|
|
|
|
if (ret < 0)
|
|
|
|
return ret;
|
|
|
|
if (link != s->link)
|
|
|
|
s->prev_gain = 1.;
|
|
|
|
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
static av_cold void uninit(AVFilterContext *ctx)
|
|
|
|
{
|
|
|
|
SpeechNormalizerContext *s = ctx->priv;
|
|
|
|
|
|
|
|
ff_bufqueue_discard_all(&s->queue);
|
|
|
|
av_freep(&s->cc);
|
|
|
|
}
|
|
|
|
|
|
|
|
static const AVFilterPad inputs[] = {
|
|
|
|
{
|
|
|
|
.name = "default",
|
|
|
|
.type = AVMEDIA_TYPE_AUDIO,
|
|
|
|
.config_props = config_input,
|
|
|
|
},
|
|
|
|
{ NULL }
|
|
|
|
};
|
|
|
|
|
|
|
|
static const AVFilterPad outputs[] = {
|
|
|
|
{
|
|
|
|
.name = "default",
|
|
|
|
.type = AVMEDIA_TYPE_AUDIO,
|
|
|
|
},
|
|
|
|
{ NULL }
|
|
|
|
};
|
|
|
|
|
2021-04-19 16:33:56 +00:00
|
|
|
const AVFilter ff_af_speechnorm = {
|
2020-05-02 18:27:37 +00:00
|
|
|
.name = "speechnorm",
|
|
|
|
.description = NULL_IF_CONFIG_SMALL("Speech Normalizer."),
|
|
|
|
.query_formats = query_formats,
|
|
|
|
.priv_size = sizeof(SpeechNormalizerContext),
|
|
|
|
.priv_class = &speechnorm_class,
|
|
|
|
.activate = activate,
|
|
|
|
.uninit = uninit,
|
|
|
|
.inputs = inputs,
|
|
|
|
.outputs = outputs,
|
|
|
|
.process_command = process_command,
|
|
|
|
};
|