| /* |
| * Copyright (c) 2020 Paul B Mahol |
| * |
| * Speech Normalizer |
| * |
| * 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 |
| */ |
| |
| /** |
| * @file |
| * Speech Normalizer |
| */ |
| |
| #include <float.h> |
| |
| #include "libavutil/avassert.h" |
| #include "libavutil/opt.h" |
| |
| #define FF_BUFQUEUE_SIZE (1024) |
| #include "bufferqueue.h" |
| |
| #include "audio.h" |
| #include "avfilter.h" |
| #include "filters.h" |
| #include "internal.h" |
| |
| #define MAX_ITEMS 882000 |
| #define MIN_PEAK (1. / 32768.) |
| |
| typedef struct PeriodItem { |
| int size; |
| int type; |
| double max_peak; |
| } PeriodItem; |
| |
| typedef struct ChannelContext { |
| int state; |
| int bypass; |
| PeriodItem pi[MAX_ITEMS]; |
| double gain_state; |
| double pi_max_peak; |
| int pi_start; |
| int pi_end; |
| int pi_size; |
| } ChannelContext; |
| |
| typedef struct SpeechNormalizerContext { |
| const AVClass *class; |
| |
| double peak_value; |
| double max_expansion; |
| double max_compression; |
| double threshold_value; |
| double raise_amount; |
| double fall_amount; |
| uint64_t channels; |
| int invert; |
| int link; |
| |
| ChannelContext *cc; |
| double prev_gain; |
| |
| int max_period; |
| int eof; |
| int64_t pts; |
| |
| struct FFBufQueue queue; |
| |
| void (*analyze_channel)(AVFilterContext *ctx, ChannelContext *cc, |
| const uint8_t *srcp, int nb_samples); |
| void (*filter_channels[2])(AVFilterContext *ctx, |
| AVFrame *in, int nb_samples); |
| } SpeechNormalizerContext; |
| |
| #define OFFSET(x) offsetof(SpeechNormalizerContext, x) |
| #define FLAGS AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_RUNTIME_PARAM |
| |
| static const AVOption speechnorm_options[] = { |
| { "peak", "set the peak value", OFFSET(peak_value), AV_OPT_TYPE_DOUBLE, {.dbl=0.95}, 0.0, 1.0, FLAGS }, |
| { "p", "set the peak value", OFFSET(peak_value), AV_OPT_TYPE_DOUBLE, {.dbl=0.95}, 0.0, 1.0, FLAGS }, |
| { "expansion", "set the max expansion factor", OFFSET(max_expansion), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS }, |
| { "e", "set the max expansion factor", OFFSET(max_expansion), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS }, |
| { "compression", "set the max compression factor", OFFSET(max_compression), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS }, |
| { "c", "set the max compression factor", OFFSET(max_compression), AV_OPT_TYPE_DOUBLE, {.dbl=2.0}, 1.0, 50.0, FLAGS }, |
| { "threshold", "set the threshold value", OFFSET(threshold_value), AV_OPT_TYPE_DOUBLE, {.dbl=0}, 0.0, 1.0, FLAGS }, |
| { "t", "set the threshold value", OFFSET(threshold_value), AV_OPT_TYPE_DOUBLE, {.dbl=0}, 0.0, 1.0, FLAGS }, |
| { "raise", "set the expansion raising amount", OFFSET(raise_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS }, |
| { "r", "set the expansion raising amount", OFFSET(raise_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS }, |
| { "fall", "set the compression raising amount", OFFSET(fall_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS }, |
| { "f", "set the compression raising amount", OFFSET(fall_amount), AV_OPT_TYPE_DOUBLE, {.dbl=0.001}, 0.0, 1.0, FLAGS }, |
| { "channels", "set channels to filter", OFFSET(channels), AV_OPT_TYPE_CHANNEL_LAYOUT, {.i64=-1}, INT64_MIN, INT64_MAX, FLAGS }, |
| { "h", "set channels to filter", OFFSET(channels), AV_OPT_TYPE_CHANNEL_LAYOUT, {.i64=-1}, INT64_MIN, INT64_MAX, FLAGS }, |
| { "invert", "set inverted filtering", OFFSET(invert), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS }, |
| { "i", "set inverted filtering", OFFSET(invert), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS }, |
| { "link", "set linked channels filtering", OFFSET(link), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS }, |
| { "l", "set linked channels filtering", OFFSET(link), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS }, |
| { NULL } |
| }; |
| |
| AVFILTER_DEFINE_CLASS(speechnorm); |
| |
| static int query_formats(AVFilterContext *ctx) |
| { |
| AVFilterFormats *formats; |
| AVFilterChannelLayouts *layouts; |
| static const enum AVSampleFormat sample_fmts[] = { |
| AV_SAMPLE_FMT_FLTP, AV_SAMPLE_FMT_DBLP, |
| AV_SAMPLE_FMT_NONE |
| }; |
| int ret; |
| |
| layouts = ff_all_channel_counts(); |
| if (!layouts) |
| return AVERROR(ENOMEM); |
| ret = ff_set_common_channel_layouts(ctx, layouts); |
| if (ret < 0) |
| return ret; |
| |
| formats = ff_make_format_list(sample_fmts); |
| if (!formats) |
| return AVERROR(ENOMEM); |
| ret = ff_set_common_formats(ctx, formats); |
| if (ret < 0) |
| return ret; |
| |
| formats = ff_all_samplerates(); |
| if (!formats) |
| return AVERROR(ENOMEM); |
| return ff_set_common_samplerates(ctx, formats); |
| } |
| |
| static int get_pi_samples(PeriodItem *pi, int start, int end, int remain) |
| { |
| int sum; |
| |
| if (pi[start].type == 0) |
| return remain; |
| |
| sum = remain; |
| while (start != end) { |
| start++; |
| if (start >= MAX_ITEMS) |
| start = 0; |
| if (pi[start].type == 0) |
| break; |
| av_assert0(pi[start].size > 0); |
| sum += pi[start].size; |
| } |
| |
| return sum; |
| } |
| |
| static int available_samples(AVFilterContext *ctx) |
| { |
| SpeechNormalizerContext *s = ctx->priv; |
| AVFilterLink *inlink = ctx->inputs[0]; |
| int min_pi_nb_samples; |
| |
| 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); |
| for (int ch = 1; ch < inlink->channels && min_pi_nb_samples > 0; ch++) { |
| ChannelContext *cc = &s->cc[ch]; |
| |
| min_pi_nb_samples = FFMIN(min_pi_nb_samples, get_pi_samples(cc->pi, cc->pi_start, cc->pi_end, cc->pi_size)); |
| } |
| |
| return min_pi_nb_samples; |
| } |
| |
| static void consume_pi(ChannelContext *cc, int nb_samples) |
| { |
| if (cc->pi_size >= nb_samples) { |
| cc->pi_size -= nb_samples; |
| } else { |
| av_assert0(0); |
| } |
| } |
| |
| static double next_gain(AVFilterContext *ctx, double pi_max_peak, int bypass, double state) |
| { |
| SpeechNormalizerContext *s = ctx->priv; |
| const double expansion = FFMIN(s->max_expansion, s->peak_value / pi_max_peak); |
| const double compression = 1. / s->max_compression; |
| const int type = s->invert ? pi_max_peak <= s->threshold_value : pi_max_peak >= s->threshold_value; |
| |
| if (bypass) { |
| return 1.; |
| } else if (type) { |
| return FFMIN(expansion, state + s->raise_amount); |
| } else { |
| return FFMIN(expansion, FFMAX(compression, state - s->fall_amount)); |
| } |
| } |
| |
| static void next_pi(AVFilterContext *ctx, ChannelContext *cc, int bypass) |
| { |
| av_assert0(cc->pi_size >= 0); |
| if (cc->pi_size == 0) { |
| SpeechNormalizerContext *s = ctx->priv; |
| int start = cc->pi_start; |
| |
| av_assert0(cc->pi[start].size > 0); |
| av_assert0(cc->pi[start].type > 0 || s->eof); |
| cc->pi_size = cc->pi[start].size; |
| cc->pi_max_peak = cc->pi[start].max_peak; |
| av_assert0(cc->pi_start != cc->pi_end || s->eof); |
| start++; |
| if (start >= MAX_ITEMS) |
| start = 0; |
| cc->pi_start = start; |
| cc->gain_state = next_gain(ctx, cc->pi_max_peak, bypass, cc->gain_state); |
| } |
| } |
| |
| static double min_gain(AVFilterContext *ctx, ChannelContext *cc, int max_size) |
| { |
| SpeechNormalizerContext *s = ctx->priv; |
| double min_gain = s->max_expansion; |
| double gain_state = cc->gain_state; |
| int size = cc->pi_size; |
| int idx = cc->pi_start; |
| |
| min_gain = FFMIN(min_gain, gain_state); |
| while (size <= max_size) { |
| if (idx == cc->pi_end) |
| break; |
| gain_state = next_gain(ctx, cc->pi[idx].max_peak, 0, gain_state); |
| min_gain = FFMIN(min_gain, gain_state); |
| size += cc->pi[idx].size; |
| idx++; |
| if (idx >= MAX_ITEMS) |
| idx = 0; |
| } |
| |
| return min_gain; |
| } |
| |
| #define ANALYZE_CHANNEL(name, ptype, zero) \ |
| static void analyze_channel_## name (AVFilterContext *ctx, ChannelContext *cc, \ |
| const uint8_t *srcp, int nb_samples) \ |
| { \ |
| SpeechNormalizerContext *s = ctx->priv; \ |
| const ptype *src = (const ptype *)srcp; \ |
| int n = 0; \ |
| \ |
| if (cc->state < 0) \ |
| cc->state = src[0] >= zero; \ |
| \ |
| while (n < nb_samples) { \ |
| if ((cc->state != (src[n] >= zero)) || \ |
| (cc->pi[cc->pi_end].size > s->max_period)) { \ |
| double max_peak = cc->pi[cc->pi_end].max_peak; \ |
| int state = cc->state; \ |
| cc->state = src[n] >= zero; \ |
| av_assert0(cc->pi[cc->pi_end].size > 0); \ |
| if (cc->pi[cc->pi_end].max_peak >= MIN_PEAK || \ |
| cc->pi[cc->pi_end].size > s->max_period) { \ |
| cc->pi[cc->pi_end].type = 1; \ |
| cc->pi_end++; \ |
| if (cc->pi_end >= MAX_ITEMS) \ |
| cc->pi_end = 0; \ |
| if (cc->state != state) \ |
| cc->pi[cc->pi_end].max_peak = DBL_MIN; \ |
| else \ |
| cc->pi[cc->pi_end].max_peak = max_peak; \ |
| cc->pi[cc->pi_end].type = 0; \ |
| cc->pi[cc->pi_end].size = 0; \ |
| av_assert0(cc->pi_end != cc->pi_start); \ |
| } \ |
| } \ |
| \ |
| if (cc->state) { \ |
| while (src[n] >= zero) { \ |
| cc->pi[cc->pi_end].max_peak = FFMAX(cc->pi[cc->pi_end].max_peak, src[n]); \ |
| cc->pi[cc->pi_end].size++; \ |
| n++; \ |
| if (n >= nb_samples) \ |
| break; \ |
| } \ |
| } else { \ |
| while (src[n] < zero) { \ |
| cc->pi[cc->pi_end].max_peak = FFMAX(cc->pi[cc->pi_end].max_peak, -src[n]); \ |
| cc->pi[cc->pi_end].size++; \ |
| n++; \ |
| if (n >= nb_samples) \ |
| break; \ |
| } \ |
| } \ |
| } \ |
| } |
| |
| ANALYZE_CHANNEL(dbl, double, 0.0) |
| ANALYZE_CHANNEL(flt, float, 0.f) |
| |
| #define FILTER_CHANNELS(name, ptype) \ |
| static void filter_channels_## name (AVFilterContext *ctx, \ |
| AVFrame *in, int nb_samples) \ |
| { \ |
| SpeechNormalizerContext *s = ctx->priv; \ |
| AVFilterLink *inlink = ctx->inputs[0]; \ |
| \ |
| for (int ch = 0; ch < inlink->channels; ch++) { \ |
| ChannelContext *cc = &s->cc[ch]; \ |
| ptype *dst = (ptype *)in->extended_data[ch]; \ |
| const int bypass = !(av_channel_layout_extract_channel(inlink->channel_layout, ch) & s->channels); \ |
| int n = 0; \ |
| \ |
| while (n < nb_samples) { \ |
| ptype gain; \ |
| int size; \ |
| \ |
| next_pi(ctx, cc, bypass); \ |
| size = FFMIN(nb_samples - n, cc->pi_size); \ |
| av_assert0(size > 0); \ |
| gain = cc->gain_state; \ |
| consume_pi(cc, size); \ |
| for (int i = n; i < n + size; i++) \ |
| dst[i] *= gain; \ |
| n += size; \ |
| } \ |
| } \ |
| } |
| |
| FILTER_CHANNELS(dbl, double) |
| FILTER_CHANNELS(flt, float) |
| |
| static double lerp(double min, double max, double mix) |
| { |
| 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 } |
| }; |
| |
| AVFilter ff_af_speechnorm = { |
| .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, |
| }; |