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-rw-r--r--src/main/jni/opus/src/analysis.c645
1 files changed, 645 insertions, 0 deletions
diff --git a/src/main/jni/opus/src/analysis.c b/src/main/jni/opus/src/analysis.c
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+++ b/src/main/jni/opus/src/analysis.c
@@ -0,0 +1,645 @@
+/* Copyright (c) 2011 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include "kiss_fft.h"
+#include "celt.h"
+#include "modes.h"
+#include "arch.h"
+#include "quant_bands.h"
+#include <stdio.h>
+#include "analysis.h"
+#include "mlp.h"
+#include "stack_alloc.h"
+
+extern const MLP net;
+
+#ifndef M_PI
+#define M_PI 3.141592653
+#endif
+
+static const float dct_table[128] = {
+ 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f,
+ 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f, 0.250000f,
+ 0.351851f, 0.338330f, 0.311806f, 0.273300f, 0.224292f, 0.166664f, 0.102631f, 0.034654f,
+ -0.034654f,-0.102631f,-0.166664f,-0.224292f,-0.273300f,-0.311806f,-0.338330f,-0.351851f,
+ 0.346760f, 0.293969f, 0.196424f, 0.068975f,-0.068975f,-0.196424f,-0.293969f,-0.346760f,
+ -0.346760f,-0.293969f,-0.196424f,-0.068975f, 0.068975f, 0.196424f, 0.293969f, 0.346760f,
+ 0.338330f, 0.224292f, 0.034654f,-0.166664f,-0.311806f,-0.351851f,-0.273300f,-0.102631f,
+ 0.102631f, 0.273300f, 0.351851f, 0.311806f, 0.166664f,-0.034654f,-0.224292f,-0.338330f,
+ 0.326641f, 0.135299f,-0.135299f,-0.326641f,-0.326641f,-0.135299f, 0.135299f, 0.326641f,
+ 0.326641f, 0.135299f,-0.135299f,-0.326641f,-0.326641f,-0.135299f, 0.135299f, 0.326641f,
+ 0.311806f, 0.034654f,-0.273300f,-0.338330f,-0.102631f, 0.224292f, 0.351851f, 0.166664f,
+ -0.166664f,-0.351851f,-0.224292f, 0.102631f, 0.338330f, 0.273300f,-0.034654f,-0.311806f,
+ 0.293969f,-0.068975f,-0.346760f,-0.196424f, 0.196424f, 0.346760f, 0.068975f,-0.293969f,
+ -0.293969f, 0.068975f, 0.346760f, 0.196424f,-0.196424f,-0.346760f,-0.068975f, 0.293969f,
+ 0.273300f,-0.166664f,-0.338330f, 0.034654f, 0.351851f, 0.102631f,-0.311806f,-0.224292f,
+ 0.224292f, 0.311806f,-0.102631f,-0.351851f,-0.034654f, 0.338330f, 0.166664f,-0.273300f,
+};
+
+static const float analysis_window[240] = {
+ 0.000043f, 0.000171f, 0.000385f, 0.000685f, 0.001071f, 0.001541f, 0.002098f, 0.002739f,
+ 0.003466f, 0.004278f, 0.005174f, 0.006156f, 0.007222f, 0.008373f, 0.009607f, 0.010926f,
+ 0.012329f, 0.013815f, 0.015385f, 0.017037f, 0.018772f, 0.020590f, 0.022490f, 0.024472f,
+ 0.026535f, 0.028679f, 0.030904f, 0.033210f, 0.035595f, 0.038060f, 0.040604f, 0.043227f,
+ 0.045928f, 0.048707f, 0.051564f, 0.054497f, 0.057506f, 0.060591f, 0.063752f, 0.066987f,
+ 0.070297f, 0.073680f, 0.077136f, 0.080665f, 0.084265f, 0.087937f, 0.091679f, 0.095492f,
+ 0.099373f, 0.103323f, 0.107342f, 0.111427f, 0.115579f, 0.119797f, 0.124080f, 0.128428f,
+ 0.132839f, 0.137313f, 0.141849f, 0.146447f, 0.151105f, 0.155823f, 0.160600f, 0.165435f,
+ 0.170327f, 0.175276f, 0.180280f, 0.185340f, 0.190453f, 0.195619f, 0.200838f, 0.206107f,
+ 0.211427f, 0.216797f, 0.222215f, 0.227680f, 0.233193f, 0.238751f, 0.244353f, 0.250000f,
+ 0.255689f, 0.261421f, 0.267193f, 0.273005f, 0.278856f, 0.284744f, 0.290670f, 0.296632f,
+ 0.302628f, 0.308658f, 0.314721f, 0.320816f, 0.326941f, 0.333097f, 0.339280f, 0.345492f,
+ 0.351729f, 0.357992f, 0.364280f, 0.370590f, 0.376923f, 0.383277f, 0.389651f, 0.396044f,
+ 0.402455f, 0.408882f, 0.415325f, 0.421783f, 0.428254f, 0.434737f, 0.441231f, 0.447736f,
+ 0.454249f, 0.460770f, 0.467298f, 0.473832f, 0.480370f, 0.486912f, 0.493455f, 0.500000f,
+ 0.506545f, 0.513088f, 0.519630f, 0.526168f, 0.532702f, 0.539230f, 0.545751f, 0.552264f,
+ 0.558769f, 0.565263f, 0.571746f, 0.578217f, 0.584675f, 0.591118f, 0.597545f, 0.603956f,
+ 0.610349f, 0.616723f, 0.623077f, 0.629410f, 0.635720f, 0.642008f, 0.648271f, 0.654508f,
+ 0.660720f, 0.666903f, 0.673059f, 0.679184f, 0.685279f, 0.691342f, 0.697372f, 0.703368f,
+ 0.709330f, 0.715256f, 0.721144f, 0.726995f, 0.732807f, 0.738579f, 0.744311f, 0.750000f,
+ 0.755647f, 0.761249f, 0.766807f, 0.772320f, 0.777785f, 0.783203f, 0.788573f, 0.793893f,
+ 0.799162f, 0.804381f, 0.809547f, 0.814660f, 0.819720f, 0.824724f, 0.829673f, 0.834565f,
+ 0.839400f, 0.844177f, 0.848895f, 0.853553f, 0.858151f, 0.862687f, 0.867161f, 0.871572f,
+ 0.875920f, 0.880203f, 0.884421f, 0.888573f, 0.892658f, 0.896677f, 0.900627f, 0.904508f,
+ 0.908321f, 0.912063f, 0.915735f, 0.919335f, 0.922864f, 0.926320f, 0.929703f, 0.933013f,
+ 0.936248f, 0.939409f, 0.942494f, 0.945503f, 0.948436f, 0.951293f, 0.954072f, 0.956773f,
+ 0.959396f, 0.961940f, 0.964405f, 0.966790f, 0.969096f, 0.971321f, 0.973465f, 0.975528f,
+ 0.977510f, 0.979410f, 0.981228f, 0.982963f, 0.984615f, 0.986185f, 0.987671f, 0.989074f,
+ 0.990393f, 0.991627f, 0.992778f, 0.993844f, 0.994826f, 0.995722f, 0.996534f, 0.997261f,
+ 0.997902f, 0.998459f, 0.998929f, 0.999315f, 0.999615f, 0.999829f, 0.999957f, 1.000000f,
+};
+
+static const int tbands[NB_TBANDS+1] = {
+ 2, 4, 6, 8, 10, 12, 14, 16, 20, 24, 28, 32, 40, 48, 56, 68, 80, 96, 120
+};
+
+static const int extra_bands[NB_TOT_BANDS+1] = {
+ 1, 2, 4, 6, 8, 10, 12, 14, 16, 20, 24, 28, 32, 40, 48, 56, 68, 80, 96, 120, 160, 200
+};
+
+/*static const float tweight[NB_TBANDS+1] = {
+ .3, .4, .5, .6, .7, .8, .9, 1., 1., 1., 1., 1., 1., 1., .8, .7, .6, .5
+};*/
+
+#define NB_TONAL_SKIP_BANDS 9
+
+#define cA 0.43157974f
+#define cB 0.67848403f
+#define cC 0.08595542f
+#define cE ((float)M_PI/2)
+static OPUS_INLINE float fast_atan2f(float y, float x) {
+ float x2, y2;
+ /* Should avoid underflow on the values we'll get */
+ if (ABS16(x)+ABS16(y)<1e-9f)
+ {
+ x*=1e12f;
+ y*=1e12f;
+ }
+ x2 = x*x;
+ y2 = y*y;
+ if(x2<y2){
+ float den = (y2 + cB*x2) * (y2 + cC*x2);
+ if (den!=0)
+ return -x*y*(y2 + cA*x2) / den + (y<0 ? -cE : cE);
+ else
+ return (y<0 ? -cE : cE);
+ }else{
+ float den = (x2 + cB*y2) * (x2 + cC*y2);
+ if (den!=0)
+ return x*y*(x2 + cA*y2) / den + (y<0 ? -cE : cE) - (x*y<0 ? -cE : cE);
+ else
+ return (y<0 ? -cE : cE) - (x*y<0 ? -cE : cE);
+ }
+}
+
+void tonality_get_info(TonalityAnalysisState *tonal, AnalysisInfo *info_out, int len)
+{
+ int pos;
+ int curr_lookahead;
+ float psum;
+ int i;
+
+ pos = tonal->read_pos;
+ curr_lookahead = tonal->write_pos-tonal->read_pos;
+ if (curr_lookahead<0)
+ curr_lookahead += DETECT_SIZE;
+
+ if (len > 480 && pos != tonal->write_pos)
+ {
+ pos++;
+ if (pos==DETECT_SIZE)
+ pos=0;
+ }
+ if (pos == tonal->write_pos)
+ pos--;
+ if (pos<0)
+ pos = DETECT_SIZE-1;
+ OPUS_COPY(info_out, &tonal->info[pos], 1);
+ tonal->read_subframe += len/120;
+ while (tonal->read_subframe>=4)
+ {
+ tonal->read_subframe -= 4;
+ tonal->read_pos++;
+ }
+ if (tonal->read_pos>=DETECT_SIZE)
+ tonal->read_pos-=DETECT_SIZE;
+
+ /* Compensate for the delay in the features themselves.
+ FIXME: Need a better estimate the 10 I just made up */
+ curr_lookahead = IMAX(curr_lookahead-10, 0);
+
+ psum=0;
+ /* Summing the probability of transition patterns that involve music at
+ time (DETECT_SIZE-curr_lookahead-1) */
+ for (i=0;i<DETECT_SIZE-curr_lookahead;i++)
+ psum += tonal->pmusic[i];
+ for (;i<DETECT_SIZE;i++)
+ psum += tonal->pspeech[i];
+ psum = psum*tonal->music_confidence + (1-psum)*tonal->speech_confidence;
+ /*printf("%f %f %f\n", psum, info_out->music_prob, info_out->tonality);*/
+
+ info_out->music_prob = psum;
+}
+
+void tonality_analysis(TonalityAnalysisState *tonal, AnalysisInfo *info_out, const CELTMode *celt_mode, const void *x, int len, int offset, int c1, int c2, int C, int lsb_depth, downmix_func downmix)
+{
+ int i, b;
+ const kiss_fft_state *kfft;
+ VARDECL(kiss_fft_cpx, in);
+ VARDECL(kiss_fft_cpx, out);
+ int N = 480, N2=240;
+ float * OPUS_RESTRICT A = tonal->angle;
+ float * OPUS_RESTRICT dA = tonal->d_angle;
+ float * OPUS_RESTRICT d2A = tonal->d2_angle;
+ VARDECL(float, tonality);
+ VARDECL(float, noisiness);
+ float band_tonality[NB_TBANDS];
+ float logE[NB_TBANDS];
+ float BFCC[8];
+ float features[25];
+ float frame_tonality;
+ float max_frame_tonality;
+ /*float tw_sum=0;*/
+ float frame_noisiness;
+ const float pi4 = (float)(M_PI*M_PI*M_PI*M_PI);
+ float slope=0;
+ float frame_stationarity;
+ float relativeE;
+ float frame_probs[2];
+ float alpha, alphaE, alphaE2;
+ float frame_loudness;
+ float bandwidth_mask;
+ int bandwidth=0;
+ float maxE = 0;
+ float noise_floor;
+ int remaining;
+ AnalysisInfo *info;
+ SAVE_STACK;
+
+ tonal->last_transition++;
+ alpha = 1.f/IMIN(20, 1+tonal->count);
+ alphaE = 1.f/IMIN(50, 1+tonal->count);
+ alphaE2 = 1.f/IMIN(1000, 1+tonal->count);
+
+ if (tonal->count<4)
+ tonal->music_prob = .5;
+ kfft = celt_mode->mdct.kfft[0];
+ if (tonal->count==0)
+ tonal->mem_fill = 240;
+ downmix(x, &tonal->inmem[tonal->mem_fill], IMIN(len, ANALYSIS_BUF_SIZE-tonal->mem_fill), offset, c1, c2, C);
+ if (tonal->mem_fill+len < ANALYSIS_BUF_SIZE)
+ {
+ tonal->mem_fill += len;
+ /* Don't have enough to update the analysis */
+ RESTORE_STACK;
+ return;
+ }
+ info = &tonal->info[tonal->write_pos++];
+ if (tonal->write_pos>=DETECT_SIZE)
+ tonal->write_pos-=DETECT_SIZE;
+
+ ALLOC(in, 480, kiss_fft_cpx);
+ ALLOC(out, 480, kiss_fft_cpx);
+ ALLOC(tonality, 240, float);
+ ALLOC(noisiness, 240, float);
+ for (i=0;i<N2;i++)
+ {
+ float w = analysis_window[i];
+ in[i].r = (kiss_fft_scalar)(w*tonal->inmem[i]);
+ in[i].i = (kiss_fft_scalar)(w*tonal->inmem[N2+i]);
+ in[N-i-1].r = (kiss_fft_scalar)(w*tonal->inmem[N-i-1]);
+ in[N-i-1].i = (kiss_fft_scalar)(w*tonal->inmem[N+N2-i-1]);
+ }
+ OPUS_MOVE(tonal->inmem, tonal->inmem+ANALYSIS_BUF_SIZE-240, 240);
+ remaining = len - (ANALYSIS_BUF_SIZE-tonal->mem_fill);
+ downmix(x, &tonal->inmem[240], remaining, offset+ANALYSIS_BUF_SIZE-tonal->mem_fill, c1, c2, C);
+ tonal->mem_fill = 240 + remaining;
+ opus_fft(kfft, in, out);
+
+ for (i=1;i<N2;i++)
+ {
+ float X1r, X2r, X1i, X2i;
+ float angle, d_angle, d2_angle;
+ float angle2, d_angle2, d2_angle2;
+ float mod1, mod2, avg_mod;
+ X1r = (float)out[i].r+out[N-i].r;
+ X1i = (float)out[i].i-out[N-i].i;
+ X2r = (float)out[i].i+out[N-i].i;
+ X2i = (float)out[N-i].r-out[i].r;
+
+ angle = (float)(.5f/M_PI)*fast_atan2f(X1i, X1r);
+ d_angle = angle - A[i];
+ d2_angle = d_angle - dA[i];
+
+ angle2 = (float)(.5f/M_PI)*fast_atan2f(X2i, X2r);
+ d_angle2 = angle2 - angle;
+ d2_angle2 = d_angle2 - d_angle;
+
+ mod1 = d2_angle - (float)floor(.5+d2_angle);
+ noisiness[i] = ABS16(mod1);
+ mod1 *= mod1;
+ mod1 *= mod1;
+
+ mod2 = d2_angle2 - (float)floor(.5+d2_angle2);
+ noisiness[i] += ABS16(mod2);
+ mod2 *= mod2;
+ mod2 *= mod2;
+
+ avg_mod = .25f*(d2A[i]+2.f*mod1+mod2);
+ tonality[i] = 1.f/(1.f+40.f*16.f*pi4*avg_mod)-.015f;
+
+ A[i] = angle2;
+ dA[i] = d_angle2;
+ d2A[i] = mod2;
+ }
+
+ frame_tonality = 0;
+ max_frame_tonality = 0;
+ /*tw_sum = 0;*/
+ info->activity = 0;
+ frame_noisiness = 0;
+ frame_stationarity = 0;
+ if (!tonal->count)
+ {
+ for (b=0;b<NB_TBANDS;b++)
+ {
+ tonal->lowE[b] = 1e10;
+ tonal->highE[b] = -1e10;
+ }
+ }
+ relativeE = 0;
+ frame_loudness = 0;
+ for (b=0;b<NB_TBANDS;b++)
+ {
+ float E=0, tE=0, nE=0;
+ float L1, L2;
+ float stationarity;
+ for (i=tbands[b];i<tbands[b+1];i++)
+ {
+ float binE = out[i].r*(float)out[i].r + out[N-i].r*(float)out[N-i].r
+ + out[i].i*(float)out[i].i + out[N-i].i*(float)out[N-i].i;
+#ifdef FIXED_POINT
+ /* FIXME: It's probably best to change the BFCC filter initial state instead */
+ binE *= 5.55e-17f;
+#endif
+ E += binE;
+ tE += binE*tonality[i];
+ nE += binE*2.f*(.5f-noisiness[i]);
+ }
+ tonal->E[tonal->E_count][b] = E;
+ frame_noisiness += nE/(1e-15f+E);
+
+ frame_loudness += (float)sqrt(E+1e-10f);
+ logE[b] = (float)log(E+1e-10f);
+ tonal->lowE[b] = MIN32(logE[b], tonal->lowE[b]+.01f);
+ tonal->highE[b] = MAX32(logE[b], tonal->highE[b]-.1f);
+ if (tonal->highE[b] < tonal->lowE[b]+1.f)
+ {
+ tonal->highE[b]+=.5f;
+ tonal->lowE[b]-=.5f;
+ }
+ relativeE += (logE[b]-tonal->lowE[b])/(1e-15f+tonal->highE[b]-tonal->lowE[b]);
+
+ L1=L2=0;
+ for (i=0;i<NB_FRAMES;i++)
+ {
+ L1 += (float)sqrt(tonal->E[i][b]);
+ L2 += tonal->E[i][b];
+ }
+
+ stationarity = MIN16(0.99f,L1/(float)sqrt(1e-15+NB_FRAMES*L2));
+ stationarity *= stationarity;
+ stationarity *= stationarity;
+ frame_stationarity += stationarity;
+ /*band_tonality[b] = tE/(1e-15+E)*/;
+ band_tonality[b] = MAX16(tE/(1e-15f+E), stationarity*tonal->prev_band_tonality[b]);
+#if 0
+ if (b>=NB_TONAL_SKIP_BANDS)
+ {
+ frame_tonality += tweight[b]*band_tonality[b];
+ tw_sum += tweight[b];
+ }
+#else
+ frame_tonality += band_tonality[b];
+ if (b>=NB_TBANDS-NB_TONAL_SKIP_BANDS)
+ frame_tonality -= band_tonality[b-NB_TBANDS+NB_TONAL_SKIP_BANDS];
+#endif
+ max_frame_tonality = MAX16(max_frame_tonality, (1.f+.03f*(b-NB_TBANDS))*frame_tonality);
+ slope += band_tonality[b]*(b-8);
+ /*printf("%f %f ", band_tonality[b], stationarity);*/
+ tonal->prev_band_tonality[b] = band_tonality[b];
+ }
+
+ bandwidth_mask = 0;
+ bandwidth = 0;
+ maxE = 0;
+ noise_floor = 5.7e-4f/(1<<(IMAX(0,lsb_depth-8)));
+#ifdef FIXED_POINT
+ noise_floor *= 1<<(15+SIG_SHIFT);
+#endif
+ noise_floor *= noise_floor;
+ for (b=0;b<NB_TOT_BANDS;b++)
+ {
+ float E=0;
+ int band_start, band_end;
+ /* Keep a margin of 300 Hz for aliasing */
+ band_start = extra_bands[b];
+ band_end = extra_bands[b+1];
+ for (i=band_start;i<band_end;i++)
+ {
+ float binE = out[i].r*(float)out[i].r + out[N-i].r*(float)out[N-i].r
+ + out[i].i*(float)out[i].i + out[N-i].i*(float)out[N-i].i;
+ E += binE;
+ }
+ maxE = MAX32(maxE, E);
+ tonal->meanE[b] = MAX32((1-alphaE2)*tonal->meanE[b], E);
+ E = MAX32(E, tonal->meanE[b]);
+ /* Use a simple follower with 13 dB/Bark slope for spreading function */
+ bandwidth_mask = MAX32(.05f*bandwidth_mask, E);
+ /* Consider the band "active" only if all these conditions are met:
+ 1) less than 10 dB below the simple follower
+ 2) less than 90 dB below the peak band (maximal masking possible considering
+ both the ATH and the loudness-dependent slope of the spreading function)
+ 3) above the PCM quantization noise floor
+ */
+ if (E>.1*bandwidth_mask && E*1e9f > maxE && E > noise_floor*(band_end-band_start))
+ bandwidth = b;
+ }
+ if (tonal->count<=2)
+ bandwidth = 20;
+ frame_loudness = 20*(float)log10(frame_loudness);
+ tonal->Etracker = MAX32(tonal->Etracker-.03f, frame_loudness);
+ tonal->lowECount *= (1-alphaE);
+ if (frame_loudness < tonal->Etracker-30)
+ tonal->lowECount += alphaE;
+
+ for (i=0;i<8;i++)
+ {
+ float sum=0;
+ for (b=0;b<16;b++)
+ sum += dct_table[i*16+b]*logE[b];
+ BFCC[i] = sum;
+ }
+
+ frame_stationarity /= NB_TBANDS;
+ relativeE /= NB_TBANDS;
+ if (tonal->count<10)
+ relativeE = .5;
+ frame_noisiness /= NB_TBANDS;
+#if 1
+ info->activity = frame_noisiness + (1-frame_noisiness)*relativeE;
+#else
+ info->activity = .5*(1+frame_noisiness-frame_stationarity);
+#endif
+ frame_tonality = (max_frame_tonality/(NB_TBANDS-NB_TONAL_SKIP_BANDS));
+ frame_tonality = MAX16(frame_tonality, tonal->prev_tonality*.8f);
+ tonal->prev_tonality = frame_tonality;
+
+ slope /= 8*8;
+ info->tonality_slope = slope;
+
+ tonal->E_count = (tonal->E_count+1)%NB_FRAMES;
+ tonal->count++;
+ info->tonality = frame_tonality;
+
+ for (i=0;i<4;i++)
+ features[i] = -0.12299f*(BFCC[i]+tonal->mem[i+24]) + 0.49195f*(tonal->mem[i]+tonal->mem[i+16]) + 0.69693f*tonal->mem[i+8] - 1.4349f*tonal->cmean[i];
+
+ for (i=0;i<4;i++)
+ tonal->cmean[i] = (1-alpha)*tonal->cmean[i] + alpha*BFCC[i];
+
+ for (i=0;i<4;i++)
+ features[4+i] = 0.63246f*(BFCC[i]-tonal->mem[i+24]) + 0.31623f*(tonal->mem[i]-tonal->mem[i+16]);
+ for (i=0;i<3;i++)
+ features[8+i] = 0.53452f*(BFCC[i]+tonal->mem[i+24]) - 0.26726f*(tonal->mem[i]+tonal->mem[i+16]) -0.53452f*tonal->mem[i+8];
+
+ if (tonal->count > 5)
+ {
+ for (i=0;i<9;i++)
+ tonal->std[i] = (1-alpha)*tonal->std[i] + alpha*features[i]*features[i];
+ }
+
+ for (i=0;i<8;i++)
+ {
+ tonal->mem[i+24] = tonal->mem[i+16];
+ tonal->mem[i+16] = tonal->mem[i+8];
+ tonal->mem[i+8] = tonal->mem[i];
+ tonal->mem[i] = BFCC[i];
+ }
+ for (i=0;i<9;i++)
+ features[11+i] = (float)sqrt(tonal->std[i]);
+ features[20] = info->tonality;
+ features[21] = info->activity;
+ features[22] = frame_stationarity;
+ features[23] = info->tonality_slope;
+ features[24] = tonal->lowECount;
+
+#ifndef DISABLE_FLOAT_API
+ mlp_process(&net, features, frame_probs);
+ frame_probs[0] = .5f*(frame_probs[0]+1);
+ /* Curve fitting between the MLP probability and the actual probability */
+ frame_probs[0] = .01f + 1.21f*frame_probs[0]*frame_probs[0] - .23f*(float)pow(frame_probs[0], 10);
+ /* Probability of active audio (as opposed to silence) */
+ frame_probs[1] = .5f*frame_probs[1]+.5f;
+ /* Consider that silence has a 50-50 probability. */
+ frame_probs[0] = frame_probs[1]*frame_probs[0] + (1-frame_probs[1])*.5f;
+
+ /*printf("%f %f ", frame_probs[0], frame_probs[1]);*/
+ {
+ /* Probability of state transition */
+ float tau;
+ /* Represents independence of the MLP probabilities, where
+ beta=1 means fully independent. */
+ float beta;
+ /* Denormalized probability of speech (p0) and music (p1) after update */
+ float p0, p1;
+ /* Probabilities for "all speech" and "all music" */
+ float s0, m0;
+ /* Probability sum for renormalisation */
+ float psum;
+ /* Instantaneous probability of speech and music, with beta pre-applied. */
+ float speech0;
+ float music0;
+
+ /* One transition every 3 minutes of active audio */
+ tau = .00005f*frame_probs[1];
+ beta = .05f;
+ if (1) {
+ /* Adapt beta based on how "unexpected" the new prob is */
+ float p, q;
+ p = MAX16(.05f,MIN16(.95f,frame_probs[0]));
+ q = MAX16(.05f,MIN16(.95f,tonal->music_prob));
+ beta = .01f+.05f*ABS16(p-q)/(p*(1-q)+q*(1-p));
+ }
+ /* p0 and p1 are the probabilities of speech and music at this frame
+ using only information from previous frame and applying the
+ state transition model */
+ p0 = (1-tonal->music_prob)*(1-tau) + tonal->music_prob *tau;
+ p1 = tonal->music_prob *(1-tau) + (1-tonal->music_prob)*tau;
+ /* We apply the current probability with exponent beta to work around
+ the fact that the probability estimates aren't independent. */
+ p0 *= (float)pow(1-frame_probs[0], beta);
+ p1 *= (float)pow(frame_probs[0], beta);
+ /* Normalise the probabilities to get the Marokv probability of music. */
+ tonal->music_prob = p1/(p0+p1);
+ info->music_prob = tonal->music_prob;
+
+ /* This chunk of code deals with delayed decision. */
+ psum=1e-20f;
+ /* Instantaneous probability of speech and music, with beta pre-applied. */
+ speech0 = (float)pow(1-frame_probs[0], beta);
+ music0 = (float)pow(frame_probs[0], beta);
+ if (tonal->count==1)
+ {
+ tonal->pspeech[0]=.5;
+ tonal->pmusic [0]=.5;
+ }
+ /* Updated probability of having only speech (s0) or only music (m0),
+ before considering the new observation. */
+ s0 = tonal->pspeech[0] + tonal->pspeech[1];
+ m0 = tonal->pmusic [0] + tonal->pmusic [1];
+ /* Updates s0 and m0 with instantaneous probability. */
+ tonal->pspeech[0] = s0*(1-tau)*speech0;
+ tonal->pmusic [0] = m0*(1-tau)*music0;
+ /* Propagate the transition probabilities */
+ for (i=1;i<DETECT_SIZE-1;i++)
+ {
+ tonal->pspeech[i] = tonal->pspeech[i+1]*speech0;
+ tonal->pmusic [i] = tonal->pmusic [i+1]*music0;
+ }
+ /* Probability that the latest frame is speech, when all the previous ones were music. */
+ tonal->pspeech[DETECT_SIZE-1] = m0*tau*speech0;
+ /* Probability that the latest frame is music, when all the previous ones were speech. */
+ tonal->pmusic [DETECT_SIZE-1] = s0*tau*music0;
+
+ /* Renormalise probabilities to 1 */
+ for (i=0;i<DETECT_SIZE;i++)
+ psum += tonal->pspeech[i] + tonal->pmusic[i];
+ psum = 1.f/psum;
+ for (i=0;i<DETECT_SIZE;i++)
+ {
+ tonal->pspeech[i] *= psum;
+ tonal->pmusic [i] *= psum;
+ }
+ psum = tonal->pmusic[0];
+ for (i=1;i<DETECT_SIZE;i++)
+ psum += tonal->pspeech[i];
+
+ /* Estimate our confidence in the speech/music decisions */
+ if (frame_probs[1]>.75)
+ {
+ if (tonal->music_prob>.9)
+ {
+ float adapt;
+ adapt = 1.f/(++tonal->music_confidence_count);
+ tonal->music_confidence_count = IMIN(tonal->music_confidence_count, 500);
+ tonal->music_confidence += adapt*MAX16(-.2f,frame_probs[0]-tonal->music_confidence);
+ }
+ if (tonal->music_prob<.1)
+ {
+ float adapt;
+ adapt = 1.f/(++tonal->speech_confidence_count);
+ tonal->speech_confidence_count = IMIN(tonal->speech_confidence_count, 500);
+ tonal->speech_confidence += adapt*MIN16(.2f,frame_probs[0]-tonal->speech_confidence);
+ }
+ } else {
+ if (tonal->music_confidence_count==0)
+ tonal->music_confidence = .9f;
+ if (tonal->speech_confidence_count==0)
+ tonal->speech_confidence = .1f;
+ }
+ }
+ if (tonal->last_music != (tonal->music_prob>.5f))
+ tonal->last_transition=0;
+ tonal->last_music = tonal->music_prob>.5f;
+#else
+ info->music_prob = 0;
+#endif
+ /*for (i=0;i<25;i++)
+ printf("%f ", features[i]);
+ printf("\n");*/
+
+ info->bandwidth = bandwidth;
+ /*printf("%d %d\n", info->bandwidth, info->opus_bandwidth);*/
+ info->noisiness = frame_noisiness;
+ info->valid = 1;
+ if (info_out!=NULL)
+ OPUS_COPY(info_out, info, 1);
+ RESTORE_STACK;
+}
+
+void run_analysis(TonalityAnalysisState *analysis, const CELTMode *celt_mode, const void *analysis_pcm,
+ int analysis_frame_size, int frame_size, int c1, int c2, int C, opus_int32 Fs,
+ int lsb_depth, downmix_func downmix, AnalysisInfo *analysis_info)
+{
+ int offset;
+ int pcm_len;
+
+ if (analysis_pcm != NULL)
+ {
+ /* Avoid overflow/wrap-around of the analysis buffer */
+ analysis_frame_size = IMIN((DETECT_SIZE-5)*Fs/100, analysis_frame_size);
+
+ pcm_len = analysis_frame_size - analysis->analysis_offset;
+ offset = analysis->analysis_offset;
+ do {
+ tonality_analysis(analysis, NULL, celt_mode, analysis_pcm, IMIN(480, pcm_len), offset, c1, c2, C, lsb_depth, downmix);
+ offset += 480;
+ pcm_len -= 480;
+ } while (pcm_len>0);
+ analysis->analysis_offset = analysis_frame_size;
+
+ analysis->analysis_offset -= frame_size;
+ }
+
+ analysis_info->valid = 0;
+ tonality_get_info(analysis, analysis_info, frame_size);
+}