samplebrain/brain/src/block.cpp

// Copyright (C) 2022 Then Try This
//
// This program 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.
//
// This program 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 this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.

#include <assert.h>
#include <float.h>
#include <iostream>

#include "block.h"

using namespace spiralcore;

FFT *block::m_fftw;
Aquila::Mfcc *block::m_mfcc_proc;

static const int MFCC_FILTERS=12;
static const int FFT_BIAS=200;

double blend(double a, double b, double t) {
  return a*(1-t)+b*t;
}

double square(double a) {
  return a*a;
}

void normalise(spiralcore::sample &in) {
  // find min/max
  float max = 0;
  float min = FLT_MAX;
  for (u32 i=0; i<in.get_length(); ++i) {
    if (in[i]<min) min=in[i];
    if (in[i]>max) max=in[i];
  }

  float mid = min+(max-min)/2.0f;

  // remove dc
  for (u32 i=0; i<in.get_length(); ++i) {
    in[i]-=mid;
  }
  min-=mid;
  max-=mid;

  // squash so biggest value is 1 or -1
  float div = fabs(min);
  if (div<max) div=max;
  div=1/div;

  for (u32 i=0; i<in.get_length(); ++i) {
    in[i]*=div;
  }
}

block::block(u64 id, const string &filename, const sample &pcm, u32 rate, const window &w, bool ditchpcm) :
  m_id(id),
  m_pcm(pcm),
  m_fft(pcm.get_length()),
  m_mfcc(MFCC_FILTERS),
  m_n_pcm(pcm),
  m_n_fft(pcm.get_length()),
  m_n_mfcc(MFCC_FILTERS),
  m_block_size(pcm.get_length()),
  m_rate(rate),
  m_orig_filename(filename),
  m_usage(0)
{
  init_fft(m_pcm.get_length());
  assert(m_mfcc_proc!=NULL);
  assert(m_fftw!=NULL);

  w.run(m_pcm);
  process(m_pcm,m_fft,m_mfcc,m_dominant_freq);

  // rerun the normalised version
  normalise(m_n_pcm);
  w.run(m_n_pcm);
  process(m_n_pcm,m_n_fft,m_n_mfcc,m_n_dominant_freq);

  // don't need to keep pcm for the target
  if (ditchpcm) {
    m_pcm.clear();
    m_n_pcm.clear();
  }
}


void block::init_fft(u32 block_size) {
  if (m_fftw == NULL || m_fftw->m_length!=block_size) {
    if (m_fftw == NULL) delete m_fftw;
    m_fftw = new FFT(block_size,100);
    if (m_mfcc_proc == NULL) delete m_mfcc_proc;
    m_mfcc_proc = new Aquila::Mfcc(block_size);
  }
}

void block::process(const sample &pcm, sample &fft, sample &mfcc, float &freq) {
  m_fftw->impulse2freq(pcm.get_buffer());
  m_fftw->calculate_bins();

  // calculate fft
  std::vector<std::complex<double> > mfspec;
  for (u32 i=0; i<m_block_size; ++i) {
    mfspec.push_back(std::complex<double>(m_fftw->m_spectrum[i][0],
					  m_fftw->m_spectrum[i][1]));
  }

  freq = m_fftw->calculate_dominant_freq();

  u32 fft_size = m_block_size;
  if (fft_size>100) {
    fft.crop_to(100);
    fft_size=100;
  }

  for (u32 i=0; i<fft_size; ++i) {
    fft[i]=m_fftw->m_bin[i];
  }


  // calculate mfcc
  std::vector<double> m = m_mfcc_proc->calculate(mfspec,MFCC_FILTERS);
  for (u32 i=0; i<MFCC_FILTERS; ++i) {
    mfcc[i] = m[i];
  }
}


double block::_compare(const sample &fft_a, const sample &mfcc_a,
                       const sample &fft_b, const sample &mfcc_b,
                       const search_params &params) const
{
  double mfcc_acc=0;
  double fft_acc=0;

  u32 fft_start = params.m_fft1_start;
  u32 fft_end = fmin(params.m_fft1_end,m_fft.get_length());

  // first check for only fft
  if (params.m_ratio==0) {
    for (u32 i=fft_start; i<fft_end; ++i) {
      fft_acc+=square(fft_a[i]-fft_b[i]);
    }
    return (fft_acc/(float)fft_a.get_length())*FFT_BIAS;
  }

  // only mfcc
  if (params.m_ratio==1) {
    for (u32 i=0; i<MFCC_FILTERS; ++i) {
      mfcc_acc+=square(mfcc_a[i]-mfcc_b[i]);
    }
    return mfcc_acc/(float)MFCC_FILTERS;
  }

  // calculate mix of em both
  for (u32 i=fft_start; i<fft_end; ++i) {
    fft_acc+=square(fft_a[i]-fft_b[i]);
  }
  for (u32 i=0; i<MFCC_FILTERS; ++i) {
    mfcc_acc+=square(mfcc_a[i]-mfcc_b[i]);
  }

  // weight them based on ratio
  return blend(fft_acc/(float)fft_a.get_length(),
               mfcc_acc/(float)MFCC_FILTERS,
               params.m_ratio);
}

double block::compare(const block &other, const search_params &params) const {
  return blend(blend(_compare(m_fft, m_mfcc, other.m_fft, other.m_mfcc, params),
                     _compare(m_n_fft, m_n_mfcc, other.m_n_fft, other.m_n_mfcc, params),
                     params.m_n_ratio),
               other.m_usage, params.m_usage_importance);
}

// serialise in/out to file
ios &spiralcore::operator||(ios &s, block &b) {
  u32 version=3;
  string id("block");
  s||id||version;

  if (version>1) s||b.m_id;
  if (version>2) {
    s||b.m_dominant_freq;
    s||b.m_n_dominant_freq;
  }

  s||b.m_pcm||b.m_fft||b.m_mfcc;
  s||b.m_n_pcm||b.m_n_fft||b.m_n_mfcc;

  s||b.m_block_size||b.m_rate||b.m_orig_filename;
  stream_vector(s,b.m_synapse);
  return s;
}


bool block::unit_test() {

  stream_unit_test();

  sample ntest(3);
  u32 idx=0;
  ntest[idx++]=-1;
  ntest[idx++]=1;
  ntest[idx++]=-1;
  idx=0;
  normalise(ntest);
  assert(feq(ntest[idx++],-1));
  assert(feq(ntest[idx++],1));
  assert(feq(ntest[idx++],-1));
  idx=0;
  ntest[idx++]=-2;
  ntest[idx++]=2;
  ntest[idx++]=-2;
  normalise(ntest);
  idx=0;
  assert(feq(ntest[idx++],-1));
  assert(feq(ntest[idx++],1));
  assert(feq(ntest[idx++],-1));
  idx=0;
  ntest[idx++]=19;
  ntest[idx++]=20;
  ntest[idx++]=19;
  normalise(ntest);
  idx=0;
  assert(feq(ntest[idx++],-1));
  assert(feq(ntest[idx++],1));
  assert(feq(ntest[idx++],-1));

  sample data(200);
  for (u32 i=0; i<data.get_length(); i++) {
    data[i]=i/(float)data.get_length();
  }
  window w;
  w.init(data.get_length());
  w.set_current_type(window::RECTANGLE);

  block bb(0,"test",data,44100,w);

  assert(bb.m_pcm.get_length()==data.get_length());
  //assert(bb.m_fft.get_length()==data.get_length());
  assert(bb.m_mfcc.get_length()==MFCC_FILTERS);
  assert(bb.m_orig_filename==string("test"));
  assert(bb.m_rate==44100);
  assert(bb.m_block_size==data.get_length());

  ofstream of("test_data/blocktest.bin",ios::binary);
  of||bb;
  of.close();

  cerr<<"written"<<endl;

  ifstream ifs("test_data/blocktest.bin",ios::binary);
  block bbb;
  ifs||bbb;
  ifs.close();

  assert(bbb.m_pcm.get_length()==data.get_length());
  //assert(bb.m_fft.get_length()==data.get_length());
  assert(bbb.m_mfcc.get_length()==MFCC_FILTERS);
  assert(bbb.m_orig_filename==string("test"));
  assert(bbb.m_rate==44100);
  assert(bbb.m_block_size==data.get_length());


  search_params p(0,0,0,100,0);
  block bb2(0,"test",data,44100,w);
  assert(bb.compare(bb2,p)==0);
  p.m_ratio=1;
  assert(bb.compare(bb2,p)==0);
  p.m_ratio=0.5;
  assert(bb.compare(bb2,p)==0);

  sample data2(200);
  for (u32 i=0; i<data.get_length(); i++) {
    data2[i]=i%10;
  }

  block cpy(0,"test",data,100,w);
  {
    block bb3(0,"test",data2,44100,w);
    p.m_ratio=0.0;
    assert(bb.compare(bb3,p)!=0);
    assert(bb.compare(bb3,p)!=0);
    p.m_ratio=0.5;
    assert(bb.compare(bb3,p)!=0);
    cpy=bb3;
  }

  assert(cpy.m_pcm.get_length()==200);



  return true;
}