/* * Copyright (C) 2004 Alex Beregszaszi & Pierre Lombard * * This file is part of MPlayer. * * MPlayer is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * MPlayer 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 General Public License for more details. * * You should have received a copy of the GNU General Public License along * with MPlayer; if not, write to the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. */ #include #include #include #include #include #include #include "af.h" // Methods: // 1: uses a 1 value memory and coefficients new=a*old+b*cur (with a+b=1) // 2: uses several samples to smooth the variations (standard weighted mean // on past samples) // Size of the memory array // FIXME: should depend on the frequency of the data (should be a few seconds) #define NSAMPLES 128 // If summing all the mem[].len is lower than MIN_SAMPLE_SIZE bytes, then we // choose to ignore the computed value as it's not significant enough // FIXME: should depend on the frequency of the data (0.5s maybe) #define MIN_SAMPLE_SIZE 32000 // mul is the value by which the samples are scaled // and has to be in [MUL_MIN, MUL_MAX] #define MUL_INIT 1.0 #define MUL_MIN 0.1 #define MUL_MAX 5.0 // Silence level // FIXME: should be relative to the level of the samples #define SIL_S16 (SHRT_MAX * 0.01) #define SIL_FLOAT 0.01 // smooth must be in ]0.0, 1.0[ #define SMOOTH_MUL 0.06 #define SMOOTH_LASTAVG 0.06 #define DEFAULT_TARGET 0.25 // Data for specific instances of this filter typedef struct af_volume_s { int method; // method used float mul; // method 1 float lastavg; // history value of the filter // method 2 int idx; struct { float avg; // average level of the sample int len; // sample size (weight) } mem[NSAMPLES]; // "Ideal" level float mid_s16; float mid_float; }af_volnorm_t; // Initialization and runtime control static int control(struct af_instance* af, int cmd, void* arg) { af_volnorm_t* s = (af_volnorm_t*)af->setup; switch(cmd){ case AF_CONTROL_REINIT: // Sanity check if(!arg) return AF_ERROR; af->data->rate = ((struct mp_audio*)arg)->rate; af->data->nch = ((struct mp_audio*)arg)->nch; if(((struct mp_audio*)arg)->format == (AF_FORMAT_S16_NE)){ af->data->format = AF_FORMAT_S16_NE; af->data->bps = 2; }else{ af->data->format = AF_FORMAT_FLOAT_NE; af->data->bps = 4; } return af_test_output(af,(struct mp_audio*)arg); case AF_CONTROL_COMMAND_LINE:{ int i = 0; float target = DEFAULT_TARGET; sscanf((char*)arg,"%d:%f", &i, &target); if (i != 1 && i != 2) return AF_ERROR; s->method = i-1; s->mid_s16 = ((float)SHRT_MAX) * target; s->mid_float = target; return AF_OK; } } return AF_UNKNOWN; } // Deallocate memory static void uninit(struct af_instance* af) { free(af->data); free(af->setup); } static void method1_int16(af_volnorm_t *s, struct mp_audio *c) { register int i = 0; int16_t *data = (int16_t*)c->audio; // Audio data int len = c->len/2; // Number of samples float curavg = 0.0, newavg, neededmul; int tmp; for (i = 0; i < len; i++) { tmp = data[i]; curavg += tmp * tmp; } curavg = sqrt(curavg / (float) len); // Evaluate an adequate 'mul' coefficient based on previous state, current // samples level, etc if (curavg > SIL_S16) { neededmul = s->mid_s16 / (curavg * s->mul); s->mul = (1.0 - SMOOTH_MUL) * s->mul + SMOOTH_MUL * neededmul; // clamp the mul coefficient s->mul = clamp(s->mul, MUL_MIN, MUL_MAX); } // Scale & clamp the samples for (i = 0; i < len; i++) { tmp = s->mul * data[i]; tmp = clamp(tmp, SHRT_MIN, SHRT_MAX); data[i] = tmp; } // Evaulation of newavg (not 100% accurate because of values clamping) newavg = s->mul * curavg; // Stores computed values for future smoothing s->lastavg = (1.0 - SMOOTH_LASTAVG) * s->lastavg + SMOOTH_LASTAVG * newavg; } static void method1_float(af_volnorm_t *s, struct mp_audio *c) { register int i = 0; float *data = (float*)c->audio; // Audio data int len = c->len/4; // Number of samples float curavg = 0.0, newavg, neededmul, tmp; for (i = 0; i < len; i++) { tmp = data[i]; curavg += tmp * tmp; } curavg = sqrt(curavg / (float) len); // Evaluate an adequate 'mul' coefficient based on previous state, current // samples level, etc if (curavg > SIL_FLOAT) // FIXME { neededmul = s->mid_float / (curavg * s->mul); s->mul = (1.0 - SMOOTH_MUL) * s->mul + SMOOTH_MUL * neededmul; // clamp the mul coefficient s->mul = clamp(s->mul, MUL_MIN, MUL_MAX); } // Scale & clamp the samples for (i = 0; i < len; i++) data[i] *= s->mul; // Evaulation of newavg (not 100% accurate because of values clamping) newavg = s->mul * curavg; // Stores computed values for future smoothing s->lastavg = (1.0 - SMOOTH_LASTAVG) * s->lastavg + SMOOTH_LASTAVG * newavg; } static void method2_int16(af_volnorm_t *s, struct mp_audio *c) { register int i = 0; int16_t *data = (int16_t*)c->audio; // Audio data int len = c->len/2; // Number of samples float curavg = 0.0, newavg, avg = 0.0; int tmp, totallen = 0; for (i = 0; i < len; i++) { tmp = data[i]; curavg += tmp * tmp; } curavg = sqrt(curavg / (float) len); // Evaluate an adequate 'mul' coefficient based on previous state, current // samples level, etc for (i = 0; i < NSAMPLES; i++) { avg += s->mem[i].avg * (float)s->mem[i].len; totallen += s->mem[i].len; } if (totallen > MIN_SAMPLE_SIZE) { avg /= (float)totallen; if (avg >= SIL_S16) { s->mul = s->mid_s16 / avg; s->mul = clamp(s->mul, MUL_MIN, MUL_MAX); } } // Scale & clamp the samples for (i = 0; i < len; i++) { tmp = s->mul * data[i]; tmp = clamp(tmp, SHRT_MIN, SHRT_MAX); data[i] = tmp; } // Evaulation of newavg (not 100% accurate because of values clamping) newavg = s->mul * curavg; // Stores computed values for future smoothing s->mem[s->idx].len = len; s->mem[s->idx].avg = newavg; s->idx = (s->idx + 1) % NSAMPLES; } static void method2_float(af_volnorm_t *s, struct mp_audio *c) { register int i = 0; float *data = (float*)c->audio; // Audio data int len = c->len/4; // Number of samples float curavg = 0.0, newavg, avg = 0.0, tmp; int totallen = 0; for (i = 0; i < len; i++) { tmp = data[i]; curavg += tmp * tmp; } curavg = sqrt(curavg / (float) len); // Evaluate an adequate 'mul' coefficient based on previous state, current // samples level, etc for (i = 0; i < NSAMPLES; i++) { avg += s->mem[i].avg * (float)s->mem[i].len; totallen += s->mem[i].len; } if (totallen > MIN_SAMPLE_SIZE) { avg /= (float)totallen; if (avg >= SIL_FLOAT) { s->mul = s->mid_float / avg; s->mul = clamp(s->mul, MUL_MIN, MUL_MAX); } } // Scale & clamp the samples for (i = 0; i < len; i++) data[i] *= s->mul; // Evaulation of newavg (not 100% accurate because of values clamping) newavg = s->mul * curavg; // Stores computed values for future smoothing s->mem[s->idx].len = len; s->mem[s->idx].avg = newavg; s->idx = (s->idx + 1) % NSAMPLES; } // Filter data through filter static struct mp_audio* play(struct af_instance* af, struct mp_audio* data) { af_volnorm_t *s = af->setup; if(af->data->format == (AF_FORMAT_S16_NE)) { if (s->method) method2_int16(s, data); else method1_int16(s, data); } else if(af->data->format == (AF_FORMAT_FLOAT_NE)) { if (s->method) method2_float(s, data); else method1_float(s, data); } return data; } // Allocate memory and set function pointers static int af_open(struct af_instance* af){ int i = 0; af->control=control; af->uninit=uninit; af->play=play; af->mul=1; af->data=calloc(1,sizeof(struct mp_audio)); af->setup=calloc(1,sizeof(af_volnorm_t)); if(af->data == NULL || af->setup == NULL) return AF_ERROR; ((af_volnorm_t*)af->setup)->mul = MUL_INIT; ((af_volnorm_t*)af->setup)->lastavg = ((float)SHRT_MAX) * DEFAULT_TARGET; ((af_volnorm_t*)af->setup)->idx = 0; ((af_volnorm_t*)af->setup)->mid_s16 = ((float)SHRT_MAX) * DEFAULT_TARGET; ((af_volnorm_t*)af->setup)->mid_float = DEFAULT_TARGET; for (i = 0; i < NSAMPLES; i++) { ((af_volnorm_t*)af->setup)->mem[i].len = 0; ((af_volnorm_t*)af->setup)->mem[i].avg = 0; } return AF_OK; } // Description of this filter struct af_info af_info_volnorm = { "Volume normalizer filter", "volnorm", "Alex Beregszaszi & Pierre Lombard", "", AF_FLAGS_NOT_REENTRANT, af_open };