@@ -1544,6 +1544,164 @@ Optional. It should have a value much less than 1 (e.g. 0.05 or 0.02) and is

 used to prevent clipping.

 @end table

+@section dynaudnorm

+Dynamic Audio Normalizer.

+

+This filter applies a certain amount of gain to the input audio in order

+to bring its peak magnitude to a target level (e.g. 0 dBFS). However, in

+contrast to more "simple" normalization algorithms, the Dynamic Audio

+Normalizer *dynamically* re-adjusts the gain factor to the input audio.

+This allows for applying extra gain to the "quiet" sections of the audio

+while avoiding distortions or clipping the "loud" sections. In other words:

+The Dynamic Audio Normalizer will "even out" the volume of quiet and loud

+sections, in the sense that the volume of each section is brought to the

+same target level. Note, however, that the Dynamic Audio Normalizer achieves

+this goal *without* applying "dynamic range compressing". It will retain 100%

+of the dynamic range *within* each section of the audio file.

+

+@table @option

+@item f

+Set the frame length in milliseconds. In range from 10 to 8000 milliseconds.

+Default is 500 milliseconds.

+The Dynamic Audio Normalizer processes the input audio in small chunks,

+referred to as frames. This is required, because a peak magnitude has no

+meaning for just a single sample value. Instead, we need to determine the

+peak magnitude for a contiguous sequence of sample values. While a "standard"

+normalizer would simply use the peak magnitude of the complete file, the

+Dynamic Audio Normalizer determines the peak magnitude individually for each

+frame. The length of a frame is specified in milliseconds. By default, the

+Dynamic Audio Normalizer uses a frame length of 500 milliseconds, which has

+been found to give good results with most files.

+Note that the exact frame length, in number of samples, will be determined

+automatically, based on the sampling rate of the individual input audio file.

+

+@item g

+Set the Gaussian filter window size. In range from 3 to 301, must be odd

+number. Default is 31.

+Probably the most important parameter of the Dynamic Audio Normalizer is the

+@code{window size} of the Gaussian smoothing filter. The filter's window size

+is specified in frames, centered around the current frame. For the sake of

+simplicity, this must be an odd number. Consequently, the default value of 31

+takes into account the current frame, as well as the 15 preceding frames and

+the 15 subsequent frames. Using a larger window results in a stronger

+smoothing effect and thus in less gain variation, i.e. slower gain

+adaptation. Conversely, using a smaller window results in a weaker smoothing

+effect and thus in more gain variation, i.e. faster gain adaptation.

+In other words, the more you increase this value, the more the Dynamic Audio

+Normalizer will behave like a "traditional" normalization filter. On the

+contrary, the more you decrease this value, the more the Dynamic Audio

+Normalizer will behave like a dynamic range compressor.

+

+@item p

+Set the target peak value. This specifies the highest permissible magnitude

+level for the normalized audio input. This filter will try to approach the

+target peak magnitude as closely as possible, but at the same time it also

+makes sure that the normalized signal will never exceed the peak magnitude.

+A frame's maximum local gain factor is imposed directly by the target peak

+magnitude. The default value is 0.95 and thus leaves a headroom of 5%*.

+It is not recommended to go above this value.

+

+@item m

+Set the maximum gain factor. In range from 1.0 to 100.0. Default is 10.0.

+The Dynamic Audio Normalizer determines the maximum possible (local) gain

+factor for each input frame, i.e. the maximum gain factor that does not

+result in clipping or distortion. The maximum gain factor is determined by

+the frame's highest magnitude sample. However, the Dynamic Audio Normalizer

+additionally bounds the frame's maximum gain factor by a predetermined

+(global) maximum gain factor. This is done in order to avoid excessive gain

+factors in "silent" or almost silent frames. By default, the maximum gain

+factor is 10.0, For most inputs the default value should be sufficient and

+it usually is not recommended to increase this value. Though, for input

+with an extremely low overall volume level, it may be necessary to allow even

+higher gain factors. Note, however, that the Dynamic Audio Normalizer does

+not simply apply a "hard" threshold (i.e. cut off values above the threshold).

+Instead, a "sigmoid" threshold function will be applied. This way, the

+gain factors will smoothly approach the threshold value, but never exceed that

+value.

+

+@item r

+Set the target RMS. In range from 0.0 to 1.0. Default is 0.0 - disabled.

+By default, the Dynamic Audio Normalizer performs "peak" normalization.

+This means that the maximum local gain factor for each frame is defined

+(only) by the frame's highest magnitude sample. This way, the samples can

+be amplified as much as possible without exceeding the maximum signal

+level, i.e. without clipping. Optionally, however, the Dynamic Audio

+Normalizer can also take into account the frame's root mean square,

+abbreviated RMS. In electrical engineering, the RMS is commonly used to

+determine the power of a time-varying signal. It is therefore considered

+that the RMS is a better approximation of the "perceived loudness" than

+just looking at the signal's peak magnitude. Consequently, by adjusting all

+frames to a constant RMS value, a uniform "perceived loudness" can be

+established. If a target RMS value has been specified, a frame's local gain

+factor is defined as the factor that would result in exactly that RMS value.

+Note, however, that the maximum local gain factor is still restricted by the

+frame's highest magnitude sample, in order to prevent clipping.

+

+@item n

+Enable channels coupling. By default is enabled.

+By default, the Dynamic Audio Normalizer will amplify all channels by the same

+amount. This means the same gain factor will be applied to all channels, i.e.

+the maximum possible gain factor is determined by the "loudest" channel.

+However, in some recordings, it may happen that the volume of the different

+channels is uneven, e.g. one channel may be "quieter" than the other one(s).

+In this case, this option can be used to disable the channel coupling. This way,

+the gain factor will be determined independently for each channel, depending

+only on the individual channel's highest magnitude sample. This allows for

+harmonizing the volume of the different channels.

+

+@item c

+Enable DC bias correction. By default is disabled.

+An audio signal (in the time domain) is a sequence of sample values.

+In the Dynamic Audio Normalizer these sample values are represented in the

+-1.0 to 1.0 range, regardless of the original input format. Normally, the

+audio signal, or "waveform", should be centered around the zero point.

+That means if we calculate the mean value of all samples in a file, or in a

+single frame, then the result should be 0.0 or at least very close to that

+value. If, however, there is a significant deviation of the mean value from

+0.0, in either positive or negative direction, this is referred to as a

+DC bias or DC offset. Since a DC bias is clearly undesirable, the Dynamic

+Audio Normalizer provides optional DC bias correction.

+With DC bias correction enabled, the Dynamic Audio Normalizer will determine

+the mean value, or "DC correction" offset, of each input frame and subtract

+that value from all of the frame's sample values which ensures those samples

+are centered around 0.0 again. Also, in order to avoid "gaps" at the frame

+boundaries, the DC correction offset values will be interpolated smoothly

+between neighbouring frames.

+

+@item b

+Enable alternative boundary mode. By default is disabled.

+The Dynamic Audio Normalizer takes into account a certain neighbourhood

+around each frame. This includes the preceding frames as well as the

+subsequent frames. However, for the "boundary" frames, located at the very

+beginning and at the very end of the audio file, not all neighbouring

+frames are available. In particular, for the first few frames in the audio

+file, the preceding frames are not known. And, similarly, for the last few

+frames in the audio file, the subsequent frames are not known. Thus, the

+question arises which gain factors should be assumed for the missing frames

+in the "boundary" region. The Dynamic Audio Normalizer implements two modes

+to deal with this situation. The default boundary mode assumes a gain factor

+of exactly 1.0 for the missing frames, resulting in a smooth "fade in" and

+"fade out" at the beginning and at the end of the input, respectively.

+

+@item s

+Set the compress factor. In range from 0.0 to 30.0. Default is 0.0.

+By default, the Dynamic Audio Normalizer does not apply "traditional"

+compression. This means that signal peaks will not be pruned and thus the

+full dynamic range will be retained within each local neighbourhood. However,

+in some cases it may be desirable to combine the Dynamic Audio Normalizer's

+normalization algorithm with a more "traditional" compression.

+For this purpose, the Dynamic Audio Normalizer provides an optional compression

+(thresholding) function. If (and only if) the compression feature is enabled,

+all input frames will be processed by a soft knee thresholding function prior

+to the actual normalization process. Put simply, the thresholding function is

+going to prune all samples whose magnitude exceeds a certain threshold value.

+However, the Dynamic Audio Normalizer does not simply apply a fixed threshold

+value. Instead, the threshold value will be adjusted for each individual

+frame.

+In general, smaller parameters result in stronger compression, and vice versa.

+Values below 3.0 are not recommended, because audible distortion may appear.

+@end table

+

 @section earwax

 Make audio easier to listen to on headphones.

@@ -67,6 +67,7 @@ OBJS-$(CONFIG_CHANNELSPLIT_FILTER)           += af_channelsplit.o

 OBJS-$(CONFIG_CHORUS_FILTER)                 += af_chorus.o generate_wave_table.o

 OBJS-$(CONFIG_COMPAND_FILTER)                += af_compand.o

 OBJS-$(CONFIG_DCSHIFT_FILTER)                += af_dcshift.o

+OBJS-$(CONFIG_DYNAUDNORM_FILTER)             += af_dynaudnorm.o

 OBJS-$(CONFIG_EARWAX_FILTER)                 += af_earwax.o

 OBJS-$(CONFIG_EBUR128_FILTER)                += f_ebur128.o

 OBJS-$(CONFIG_EQUALIZER_FILTER)              += af_biquads.o

new file mode 100644

@@ -0,0 +1,734 @@

+/*

+ * Dynamic Audio Normalizer

+ * Copyright (c) 2015 LoRd_MuldeR <mulder2@gmx.de>. Some rights reserved.

+ *

+ * 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

+ * Dynamic Audio Normalizer

+ */

+

+#include <float.h>

+

+#include "libavutil/avassert.h"

+#include "libavutil/opt.h"

+

+#define FF_BUFQUEUE_SIZE 302

+#include "libavfilter/bufferqueue.h"

+

+#include "audio.h"

+#include "avfilter.h"

+#include "internal.h"

+

+typedef struct cqueue {

+    double *elements;

+    int size;

+    int nb_elements;

+    int first;

+} cqueue;

+

+typedef struct DynamicAudioNormalizerContext {

+    const AVClass *class;

+

+    struct FFBufQueue queue;

+

+    int frame_len;

+    int frame_len_msec;

+    int filter_size;

+    int dc_correction;

+    int channels_coupled;

+    int alt_boundary_mode;

+

+    double peak_value;

+    double max_amplification;

+    double target_rms;

+    double compress_factor;

+    double *prev_amplification_factor;

+    double *dc_correction_value;

+    double *compress_threshold;

+    double *fade_factors[2];

+    double *weights;

+

+    int channels;

+    int delay;

+

+    cqueue **gain_history_original;

+    cqueue **gain_history_minimum;

+    cqueue **gain_history_smoothed;

+} DynamicAudioNormalizerContext;

+

+#define OFFSET(x) offsetof(DynamicAudioNormalizerContext, x)

+#define FLAGS AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM

+

+static const AVOption dynaudnorm_options[] = {

+    { "f", "set the frame length in msec",     OFFSET(frame_len_msec),    AV_OPT_TYPE_INT,    {.i64 = 500},   10,  8000, FLAGS },

+    { "g", "set the filter size",              OFFSET(filter_size),       AV_OPT_TYPE_INT,    {.i64 = 31},     3,   301, FLAGS },

+    { "p", "set the peak value",               OFFSET(peak_value),        AV_OPT_TYPE_DOUBLE, {.dbl = 0.95}, 0.0,   1.0, FLAGS },

+    { "m", "set the max amplification",        OFFSET(max_amplification), AV_OPT_TYPE_DOUBLE, {.dbl = 10.0}, 1.0, 100.0, FLAGS },

+    { "r", "set the target RMS",               OFFSET(target_rms),        AV_OPT_TYPE_DOUBLE, {.dbl = 0.0},  0.0,   1.0, FLAGS },

+    { "n", "enable channel coupling",          OFFSET(channels_coupled),  AV_OPT_TYPE_INT,    {.i64 = 1},      0,     1, FLAGS },

+    { "c", "enable DC correction",             OFFSET(dc_correction),     AV_OPT_TYPE_INT,    {.i64 = 0},      0,     1, FLAGS },

+    { "b", "enable alternative boundary mode", OFFSET(alt_boundary_mode), AV_OPT_TYPE_INT,    {.i64 = 0},      0,     1, FLAGS },

+    { "s", "set the compress factor",          OFFSET(compress_factor),   AV_OPT_TYPE_DOUBLE, {.dbl = 0.0},  0.0,  30.0, FLAGS },

+    { NULL }

+};

+

+AVFILTER_DEFINE_CLASS(dynaudnorm);

+

+static av_cold int init(AVFilterContext *ctx)

+{

+    DynamicAudioNormalizerContext *s = ctx->priv;

+

+    if (!(s->filter_size & 1)) {

+        av_log(ctx, AV_LOG_ERROR, "filter size %d is invalid. Must be an odd value.\n", s->filter_size);

+        return AVERROR(EINVAL);

+    }

+

+    return 0;

+}

+

+static int query_formats(AVFilterContext *ctx)

+{

+    AVFilterFormats *formats;

+    AVFilterChannelLayouts *layouts;

+    static const enum AVSampleFormat sample_fmts[] = {

+        AV_SAMPLE_FMT_DBLP,

+        AV_SAMPLE_FMT_NONE

+    };

+    int ret;

+

+    layouts = ff_all_channel_layouts();

+    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 inline int frame_size(int sample_rate, int frame_len_msec)

+{

+    const int frame_size = round((double)sample_rate * (frame_len_msec / 1000.0));

+    return frame_size + (frame_size % 2);

+}

+

+static void precalculate_fade_factors(double *fade_factors[2], int frame_len)

+{

+    const double step_size = 1.0 / frame_len;

+    int pos;

+

+    for (pos = 0; pos < frame_len; pos++) {

+        fade_factors[0][pos] = 1.0 - (step_size * (pos + 1.0));

+        fade_factors[1][pos] = 1.0 - fade_factors[0][pos];

+    }

+}

+

+static cqueue *cqueue_create(int size)

+{

+    cqueue *q;

+

+    q = av_malloc(sizeof(cqueue));

+    if (!q)

+        return NULL;

+

+    q->size = size;

+    q->nb_elements = 0;

+    q->first = 0;

+

+    q->elements = av_malloc(sizeof(double) * size);

+    if (!q->elements) {

+        av_free(q);

+        return NULL;

+    }

+

+    return q;

+}

+

+static void cqueue_free(cqueue *q)

+{

+    av_free(q->elements);

+    av_free(q);

+}

+

+static int cqueue_size(cqueue *q)

+{

+    return q->nb_elements;

+}

+

+static int cqueue_empty(cqueue *q)

+{

+    return !q->nb_elements;

+}

+

+static int cqueue_enqueue(cqueue *q, double element)

+{

+    int i;

+

+    av_assert2(q->nb_elements |= q->size);

+

+    i = (q->first + q->nb_elements) % q->size;

+    q->elements[i] = element;

+    q->nb_elements++;

+

+    return 0;

+}

+

+static double cqueue_peek(cqueue *q, int index)

+{

+    av_assert2(index < q->nb_elements);

+    return q->elements[(q->first + index) % q->size];

+}

+

+static int cqueue_dequeue(cqueue *q, double *element)

+{

+    av_assert2(!cqueue_empty(q));

+

+    *element = q->elements[q->first];

+    q->first = (q->first + 1) % q->size;

+    q->nb_elements--;

+

+    return 0;

+}

+

+static int cqueue_pop(cqueue *q)

+{

+    av_assert2(!cqueue_empty(q));

+

+    q->first = (q->first + 1) % q->size;

+    q->nb_elements--;

+

+    return 0;

+}

+

+static const double s_pi = 3.1415926535897932384626433832795028841971693993751058209749445923078164062862089986280348253421170679;

+

+static void init_gaussian_filter(DynamicAudioNormalizerContext *s)

+{

+    double total_weight = 0.0;

+    const double sigma = (((s->filter_size / 2.0) - 1.0) / 3.0) + (1.0 / 3.0);

+    double adjust;

+    int i;

+

+    // Pre-compute constants

+    const int offset = s->filter_size / 2;

+    const double c1 = 1.0 / (sigma * sqrt(2.0 * s_pi));

+    const double c2 = 2.0 * pow(sigma, 2.0);

+

+    // Compute weights

+    for (i = 0; i < s->filter_size; i++) {

+        const int x = i - offset;

+

+        s->weights[i] = c1 * exp(-(pow(x, 2.0) / c2));

+        total_weight += s->weights[i];

+    }

+

+    // Adjust weights

+    adjust = 1.0 / total_weight;

+    for (i = 0; i < s->filter_size; i++) {

+        s->weights[i] *= adjust;

+    }

+}

+

+static int config_input(AVFilterLink *inlink)

+{

+    AVFilterContext *ctx = inlink->dst;

+    DynamicAudioNormalizerContext *s = ctx->priv;

+    int c;

+

+    s->frame_len =

+    inlink->min_samples =

+    inlink->max_samples =

+    inlink->partial_buf_size = frame_size(inlink->sample_rate, s->frame_len_msec);

+    av_log(ctx, AV_LOG_DEBUG, "frame len %d\n", s->frame_len);

+

+    s->fade_factors[0] = av_malloc(s->frame_len * sizeof(*s->fade_factors[0]));

+    s->fade_factors[1] = av_malloc(s->frame_len * sizeof(*s->fade_factors[1]));

+

+    s->prev_amplification_factor = av_malloc(inlink->channels * sizeof(*s->prev_amplification_factor));

+    s->dc_correction_value = av_calloc(inlink->channels, sizeof(*s->dc_correction_value));

+    s->compress_threshold = av_calloc(inlink->channels, sizeof(*s->compress_threshold));

+    s->gain_history_original = av_calloc(inlink->channels, sizeof(*s->gain_history_original));

+    s->gain_history_minimum = av_calloc(inlink->channels, sizeof(*s->gain_history_minimum));

+    s->gain_history_smoothed = av_calloc(inlink->channels, sizeof(*s->gain_history_smoothed));

+    s->weights = av_malloc(s->filter_size * sizeof(*s->weights));

+    if (!s->prev_amplification_factor || !s->dc_correction_value ||

+        !s->compress_threshold || !s->fade_factors[0] || !s->fade_factors[1] ||

+        !s->gain_history_original || !s->gain_history_minimum ||

+        !s->gain_history_smoothed || !s->weights)

+        return AVERROR(ENOMEM);

+

+    for (c = 0; c < inlink->channels; c++) {

+        s->prev_amplification_factor[c] = 1.0;

+

+        s->gain_history_original[c] = cqueue_create(s->filter_size);

+        s->gain_history_minimum[c]  = cqueue_create(s->filter_size);

+        s->gain_history_smoothed[c] = cqueue_create(s->filter_size);

+

+        if (!s->gain_history_original[c] || !s->gain_history_minimum[c] ||

+            !s->gain_history_smoothed[c])

+            return AVERROR(ENOMEM);

+    }

+

+    precalculate_fade_factors(s->fade_factors, s->frame_len);

+    init_gaussian_filter(s);

+

+    s->channels = inlink->channels;

+    s->delay = s->filter_size;

+

+    return 0;

+}

+

+static int config_output(AVFilterLink *outlink)

+{

+    outlink->flags |= FF_LINK_FLAG_REQUEST_LOOP;

+    return 0;

+}

+

+static inline double fade(double prev, double next, int pos,

+                          double *fade_factors[2])

+{

+    return fade_factors[0][pos] * prev + fade_factors[1][pos] * next;

+}

+

+static inline double pow2(const double value)

+{

+    return value * value;

+}

+

+static inline double bound(const double threshold, const double val)

+{

+    const double CONST = 0.8862269254527580136490837416705725913987747280611935; //sqrt(PI) / 2.0

+    return erf(CONST * (val / threshold)) * threshold;

+}

+

+static double find_peak_magnitude(AVFrame *frame, int channel)

+{

+    double max = DBL_EPSILON;

+    int c, i;

+

+    if (channel == -1) {

+        for (c = 0; c < frame->channels; c++) {

+            double *data_ptr = (double *)frame->extended_data[c];

+

+            for (i = 0; i < frame->nb_samples; i++)

+                max = FFMAX(max, fabs(data_ptr[i]));

+        }

+    } else {

+        double *data_ptr = (double *)frame->extended_data[channel];

+

+        for (i = 0; i < frame->nb_samples; i++)

+            max = FFMAX(max, fabs(data_ptr[i]));

+    }

+

+    return max;

+}

+

+static double compute_frame_rms(AVFrame *frame, int channel)

+{

+    double rms_value = 0.0;

+    int c, i;

+

+    if (channel == -1) {

+        for (c = 0; c < frame->channels; c++) {

+            const double *data_ptr = (double *)frame->extended_data[c];

+

+            for (i = 0; i < frame->nb_samples; i++) {

+                rms_value += pow2(data_ptr[i]);

+            }

+        }

+

+        rms_value /= frame->nb_samples * frame->channels;

+    } else {

+        const double *data_ptr = (double *)frame->extended_data[channel];

+        for (i = 0; i < frame->nb_samples; i++) {

+            rms_value += pow2(data_ptr[i]);

+        }

+

+        rms_value /= frame->nb_samples;

+    }

+

+    return FFMAX(sqrt(rms_value), DBL_EPSILON);

+}

+

+static double get_max_local_gain(DynamicAudioNormalizerContext *s, AVFrame *frame,

+                                 int channel)

+{

+    const double maximum_gain = s->peak_value / find_peak_magnitude(frame, channel);

+    const double rms_gain = s->target_rms > DBL_EPSILON ? (s->target_rms / compute_frame_rms(frame, channel)) : DBL_MAX;

+    return bound(s->max_amplification, FFMIN(maximum_gain, rms_gain));

+}

+

+static double minimum_filter(cqueue *q)

+{

+    double min = DBL_MAX;

+    int i;

+

+    for (i = 0; i < cqueue_size(q); i++) {

+        min = FFMIN(min, cqueue_peek(q, i));

+    }

+

+    return min;

+}

+

+static double gaussian_filter(DynamicAudioNormalizerContext *s, cqueue *q)

+{

+    double result = 0.0;

+    int i;

+

+    for (i = 0; i < cqueue_size(q); i++) {

+        result += cqueue_peek(q, i) * s->weights[i];

+    }

+

+    return result;

+}

+

+static void update_gain_history(DynamicAudioNormalizerContext *s, int channel,

+                                double current_gain_factor)

+{

+    if (cqueue_empty(s->gain_history_original[channel]) ||

+        cqueue_empty(s->gain_history_minimum[channel])) {

+        const int pre_fill_size = s->filter_size / 2;

+

+        s->prev_amplification_factor[channel] = s->alt_boundary_mode ? current_gain_factor : 1.0;

+

+        while (cqueue_size(s->gain_history_original[channel]) < pre_fill_size) {

+            cqueue_enqueue(s->gain_history_original[channel], s->alt_boundary_mode ? current_gain_factor : 1.0);

+        }

+

+        while (cqueue_size(s->gain_history_minimum[channel]) < pre_fill_size) {

+            cqueue_enqueue(s->gain_history_minimum[channel], s->alt_boundary_mode ? current_gain_factor : 1.0);

+        }

+    }

+

+    cqueue_enqueue(s->gain_history_original[channel], current_gain_factor);

+

+    while (cqueue_size(s->gain_history_original[channel]) >= s->filter_size) {

+        av_assert0(cqueue_size(s->gain_history_original[channel]) == s->filter_size);

+        const double minimum = minimum_filter(s->gain_history_original[channel]);

+

+        cqueue_enqueue(s->gain_history_minimum[channel], minimum);

+

+        cqueue_pop(s->gain_history_original[channel]);

+    }

+

+    while (cqueue_size(s->gain_history_minimum[channel]) >= s->filter_size) {

+        av_assert0(cqueue_size(s->gain_history_minimum[channel]) == s->filter_size);

+        const double smoothed = gaussian_filter(s, s->gain_history_minimum[channel]);

+

+        cqueue_enqueue(s->gain_history_smoothed[channel], smoothed);

+

+        cqueue_pop(s->gain_history_minimum[channel]);

+    }

+}

+

+static inline double update_value(double new, double old, double aggressiveness)

+{

+    av_assert0((aggressiveness >= 0.0) && (aggressiveness <= 1.0));

+    return aggressiveness * new + (1.0 - aggressiveness) * old;

+}

+

+static void perform_dc_correction(DynamicAudioNormalizerContext *s, AVFrame *frame)

+{

+    const double diff = 1.0 / frame->nb_samples;

+    int is_first_frame = cqueue_empty(s->gain_history_original[0]);

+    int c, i;

+

+    for (c = 0; c < s->channels; c++) {

+        double *dst_ptr = (double *)frame->extended_data[c];

+        double current_average_value = 0.0;

+

+        for (i = 0; i < frame->nb_samples; i++)

+            current_average_value += dst_ptr[i] * diff;

+

+        const double prev_value = is_first_frame ? current_average_value : s->dc_correction_value[c];

+        s->dc_correction_value[c] = is_first_frame ? current_average_value : update_value(current_average_value, s->dc_correction_value[c], 0.1);

+

+        for (i = 0; i < frame->nb_samples; i++) {

+            dst_ptr[i] -= fade(prev_value, s->dc_correction_value[c], i, s->fade_factors);

+        }

+    }

+}

+

+static double setup_compress_thresh(double threshold)

+{

+    if ((threshold > DBL_EPSILON) && (threshold < (1.0 - DBL_EPSILON))) {

+        double current_threshold = threshold;

+        double step_size = 1.0;

+

+        while (step_size > DBL_EPSILON) {

+            while ((current_threshold + step_size > current_threshold) &&

+                   (bound(current_threshold + step_size, 1.0) <= threshold)) {

+                current_threshold += step_size;

+            }

+

+            step_size /= 2.0;

+        }

+

+        return current_threshold;

+    } else {

+        return threshold;

+    }

+}

+

+static double compute_frame_std_dev(DynamicAudioNormalizerContext *s,

+                                    AVFrame *frame, int channel)

+{

+    double variance = 0.0;

+    int i, c;

+

+    if (channel == -1) {

+        for (c = 0; c < s->channels; c++) {

+            const double *data_ptr = (double *)frame->extended_data[c];

+

+            for (i = 0; i < frame->nb_samples; i++) {

+                variance += pow2(data_ptr[i]);  // Assume that MEAN is *zero*

+            }

+        }

+        variance /= (s->channels * frame->nb_samples) - 1;

+    } else {

+        const double *data_ptr = (double *)frame->extended_data[channel];

+

+        for (i = 0; i < frame->nb_samples; i++) {

+            variance += pow2(data_ptr[i]);      // Assume that MEAN is *zero*

+        }

+        variance /= frame->nb_samples - 1;

+    }

+

+    return FFMAX(sqrt(variance), DBL_EPSILON);

+}

+

+static void perform_compression(DynamicAudioNormalizerContext *s, AVFrame *frame)

+{

+    int is_first_frame = cqueue_empty(s->gain_history_original[0]);

+    int c, i;

+

+    if (s->channels_coupled) {

+        const double standard_deviation = compute_frame_std_dev(s, frame, -1);

+        const double current_threshold  = FFMIN(1.0, s->compress_factor * standard_deviation);

+

+        const double prev_value = is_first_frame ? current_threshold : s->compress_threshold[0];

+        s->compress_threshold[0] = is_first_frame ? current_threshold : update_value(current_threshold, s->compress_threshold[0], (1.0/3.0));

+

+        const double prev_actual_thresh = setup_compress_thresh(prev_value);

+        const double curr_actual_thresh = setup_compress_thresh(s->compress_threshold[0]);

+

+        for (c = 0; c < s->channels; c++) {

+            double *const dst_ptr = (double *)frame->extended_data[c];

+            for (i = 0; i < frame->nb_samples; i++) {

+                const double localThresh = fade(prev_actual_thresh, curr_actual_thresh, i, s->fade_factors);

+                dst_ptr[i] = copysign(bound(localThresh, fabs(dst_ptr[i])), dst_ptr[i]);

+            }

+        }

+    } else {

+        for (c = 0; c < s->channels; c++) {

+            const double standard_deviation = compute_frame_std_dev(s, frame, c);

+            const double current_threshold  = setup_compress_thresh(FFMIN(1.0, s->compress_factor * standard_deviation));

+

+            const double prev_value = is_first_frame ? current_threshold : s->compress_threshold[c];

+            s->compress_threshold[c] = is_first_frame ? current_threshold : update_value(current_threshold, s->compress_threshold[c], 1.0/3.0);

+

+            const double prev_actual_thresh = setup_compress_thresh(prev_value);

+            const double curr_actual_thresh = setup_compress_thresh(s->compress_threshold[c]);

+

+            double *const dst_ptr = (double *)frame->extended_data[c];

+            for (i = 0; i < frame->nb_samples; i++) {

+                const double localThresh = fade(prev_actual_thresh, curr_actual_thresh, i, s->fade_factors);

+                dst_ptr[i] = copysign(bound(localThresh, fabs(dst_ptr[i])), dst_ptr[i]);

+            }

+        }

+    }

+}

+

+static void analyze_frame(DynamicAudioNormalizerContext *s, AVFrame *frame)

+{

+    if (s->dc_correction) {

+        perform_dc_correction(s, frame);

+    }

+

+    if (s->compress_factor > DBL_EPSILON) {

+        perform_compression(s, frame);

+    }

+

+    if (s->channels_coupled) {

+        const double current_gain_factor = get_max_local_gain(s, frame, -1);

+        int c;

+

+        for (c = 0; c < s->channels; c++)

+            update_gain_history(s, c, current_gain_factor);

+    } else {

+        int c;

+

+        for (c = 0; c < s->channels; c++)

+            update_gain_history(s, c, get_max_local_gain(s, frame, c));

+    }

+}

+

+static void amplify_frame(DynamicAudioNormalizerContext *s, AVFrame *frame)

+{

+    int c, i;

+

+    for (c = 0; c < s->channels; c++) {

+        double *dst_ptr = (double *)frame->extended_data[c];

+        double current_amplification_factor;

+

+        cqueue_dequeue(s->gain_history_smoothed[c], &current_amplification_factor);

+

+        for (i = 0; i < frame->nb_samples; i++) {

+            const double amplification_factor = fade(s->prev_amplification_factor[c],

+                                                     current_amplification_factor, i,

+                                                     s->fade_factors);

+

+            dst_ptr[i] *= amplification_factor;

+

+            if (fabs(dst_ptr[i]) > s->peak_value)

+                dst_ptr[i] = copysign(s->peak_value, dst_ptr[i]);

+        }

+

+        s->prev_amplification_factor[c] = current_amplification_factor;

+    }

+}

+

+static int filter_frame(AVFilterLink *inlink, AVFrame *in)

+{

+    AVFilterContext *ctx = inlink->dst;

+    DynamicAudioNormalizerContext *s = ctx->priv;

+    AVFilterLink *outlink = inlink->dst->outputs[0];

+    int ret = 0;

+

+    if (!cqueue_empty(s->gain_history_smoothed[0])) {

+        AVFrame *out = ff_bufqueue_get(&s->queue);

+

+        amplify_frame(s, out);

+        ret = ff_filter_frame(outlink, out);

+    }

+

+    analyze_frame(s, in);

+    ff_bufqueue_add(ctx, &s->queue, in);

+

+    return ret;

+}

+

+static int flush_buffer(DynamicAudioNormalizerContext *s, AVFilterLink *inlink,

+                        AVFilterLink *outlink)

+{

+    AVFrame *out = ff_get_audio_buffer(outlink, s->frame_len);

+    int c, i;

+

+    if (!out)

+        return AVERROR(ENOMEM);

+

+    for (c = 0; c < s->channels; c++) {

+        double *dst_ptr = (double *)out->extended_data[c];

+

+        for (i = 0; i < out->nb_samples; i++) {

+            dst_ptr[i] = s->alt_boundary_mode ? DBL_EPSILON : ((s->target_rms > DBL_EPSILON) ? FFMIN(s->peak_value, s->target_rms) : s->peak_value);

+            if (s->dc_correction) {

+                dst_ptr[i] *= ((i % 2) == 1) ? -1 : 1;

+                dst_ptr[i] += s->dc_correction_value[c];

+            }

+        }

+    }

+

+    s->delay--;

+    return filter_frame(inlink, out);

+}

+

+static int request_frame(AVFilterLink *outlink)

+{

+    AVFilterContext *ctx = outlink->src;

+    DynamicAudioNormalizerContext *s = ctx->priv;

+    int ret = 0;

+

+    ret = ff_request_frame(ctx->inputs[0]);

+

+    if (ret == AVERROR_EOF && !ctx->is_disabled && s->delay)

+        ret = flush_buffer(s, ctx->inputs[0], outlink);

+

+    return ret;

+}

+

+static av_cold void uninit(AVFilterContext *ctx)

+{

+    DynamicAudioNormalizerContext *s = ctx->priv;

+    int c;

+

+    av_freep(&s->prev_amplification_factor);

+    av_freep(&s->dc_correction_value);

+    av_freep(&s->compress_threshold);

+    av_freep(&s->fade_factors[0]);

+    av_freep(&s->fade_factors[1]);

+

+    for (c = 0; c < s->channels; c++) {

+        cqueue_free(s->gain_history_original[c]);

+        cqueue_free(s->gain_history_minimum[c]);

+        cqueue_free(s->gain_history_smoothed[c]);

+    }

+

+    av_freep(&s->gain_history_original);

+    av_freep(&s->gain_history_minimum);

+    av_freep(&s->gain_history_smoothed);

+

+    av_freep(&s->weights);

+

+    ff_bufqueue_discard_all(&s->queue);

+}

+

+static const AVFilterPad avfilter_af_dynaudnorm_inputs[] = {

+    {

+        .name           = "default",