Chris@9: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ Chris@9: Chris@9: /* Chris@9: pYIN - A fundamental frequency estimator for monophonic audio Chris@9: Centre for Digital Music, Queen Mary, University of London. Chris@9: Chris@9: This program is free software; you can redistribute it and/or Chris@9: modify it under the terms of the GNU General Public License as Chris@9: published by the Free Software Foundation; either version 2 of the Chris@9: License, or (at your option) any later version. See the file Chris@9: COPYING included with this distribution for more information. Chris@9: */ Chris@9: matthiasm@0: #include "MonoNoteHMM.h" matthiasm@0: matthiasm@0: #include matthiasm@0: matthiasm@0: #include matthiasm@0: #include matthiasm@0: matthiasm@0: using std::vector; matthiasm@0: using std::pair; matthiasm@0: mail@132: MonoNoteHMM::MonoNoteHMM(int fixedLag) : mail@132: SparseHMM(fixedLag), matthiasm@0: par() matthiasm@0: { matthiasm@0: build(); matthiasm@0: } matthiasm@0: Chris@145: vector Chris@156: MonoNoteHMM::calculateObsProb(const vector > &pitchProb) matthiasm@0: { matthiasm@0: // pitchProb is a list of pairs (pitches and their probabilities) matthiasm@0: matthiasm@0: size_t nCandidate = pitchProb.size(); matthiasm@0: matthiasm@0: // what is the probability of pitched matthiasm@0: double pIsPitched = 0; mail@133: for (size_t iCand = 0; iCand < nCandidate; ++iCand) matthiasm@0: { mail@133: pIsPitched += pitchProb[iCand].second; matthiasm@0: } matthiasm@0: mail@133: pIsPitched = pIsPitched * (1-par.priorWeight) + mail@133: par.priorPitchedProb * par.priorWeight; matthiasm@0: matthiasm@0: vector out = vector(par.n); matthiasm@0: double tempProbSum = 0; matthiasm@0: for (size_t i = 0; i < par.n; ++i) matthiasm@0: { matthiasm@103: if (i % par.nSPP != 2) matthiasm@0: { matthiasm@0: // std::cerr << getMidiPitch(i) << std::endl; matthiasm@0: double tempProb = 0; matthiasm@0: if (nCandidate > 0) matthiasm@0: { matthiasm@0: double minDist = 10000.0; matthiasm@0: double minDistProb = 0; matthiasm@0: size_t minDistCandidate = 0; mail@133: for (size_t iCand = 0; iCand < nCandidate; ++iCand) matthiasm@0: { mail@133: double currDist = std::abs(getMidiPitch(i)- mail@133: pitchProb[iCand].first); matthiasm@0: if (currDist < minDist) matthiasm@0: { matthiasm@0: minDist = currDist; mail@133: minDistProb = pitchProb[iCand].second; mail@133: minDistCandidate = iCand; matthiasm@0: } matthiasm@0: } matthiasm@101: tempProb = std::pow(minDistProb, par.yinTrust) * matthiasm@101: boost::math::pdf(pitchDistr[i], matthiasm@101: pitchProb[minDistCandidate].first); matthiasm@0: } else { matthiasm@0: tempProb = 1; matthiasm@0: } matthiasm@0: tempProbSum += tempProb; matthiasm@0: out[i] = tempProb; matthiasm@0: } matthiasm@0: } matthiasm@0: matthiasm@0: for (size_t i = 0; i < par.n; ++i) matthiasm@0: { matthiasm@103: if (i % par.nSPP != 2) matthiasm@0: { matthiasm@0: if (tempProbSum > 0) matthiasm@0: { matthiasm@0: out[i] = out[i] / tempProbSum * pIsPitched; matthiasm@0: } matthiasm@0: } else { matthiasm@0: out[i] = (1-pIsPitched) / (par.nPPS * par.nS); matthiasm@0: } matthiasm@0: } Chris@146: matthiasm@0: return(out); matthiasm@0: } matthiasm@0: matthiasm@0: void matthiasm@0: MonoNoteHMM::build() matthiasm@0: { matthiasm@0: // the states are organised as follows: matthiasm@0: // 0-2. lowest pitch matthiasm@0: // 0. attack state matthiasm@0: // 1. stable state matthiasm@0: // 2. silent state matthiasm@103: // 3-5. second-lowest pitch matthiasm@103: // 3. attack state matthiasm@0: // ... matthiasm@0: mail@130: m_nState = par.n; mail@130: matthiasm@0: // observation distributions matthiasm@0: for (size_t iState = 0; iState < par.n; ++iState) matthiasm@0: { matthiasm@0: pitchDistr.push_back(boost::math::normal(0,1)); matthiasm@103: if (iState % par.nSPP == 2) matthiasm@0: { matthiasm@0: // silent state starts tracking mail@130: m_init.push_back(1.0/(par.nS * par.nPPS)); matthiasm@0: } else { mail@130: m_init.push_back(0.0); matthiasm@0: } matthiasm@0: } matthiasm@0: matthiasm@0: for (size_t iPitch = 0; iPitch < (par.nS * par.nPPS); ++iPitch) matthiasm@0: { matthiasm@0: size_t index = iPitch * par.nSPP; matthiasm@0: double mu = par.minPitch + iPitch * 1.0/par.nPPS; matthiasm@0: pitchDistr[index] = boost::math::normal(mu, par.sigmaYinPitchAttack); matthiasm@0: pitchDistr[index+1] = boost::math::normal(mu, par.sigmaYinPitchStable); matthiasm@0: pitchDistr[index+2] = boost::math::normal(mu, 1.0); // dummy matthiasm@0: } matthiasm@0: matthiasm@0: boost::math::normal noteDistanceDistr(0, par.sigma2Note); matthiasm@0: matthiasm@0: for (size_t iPitch = 0; iPitch < (par.nS * par.nPPS); ++iPitch) matthiasm@0: { matthiasm@0: // loop through all notes and set sparse transition probabilities matthiasm@0: size_t index = iPitch * par.nSPP; matthiasm@0: matthiasm@0: // transitions from attack state mail@130: m_from.push_back(index); mail@130: m_to.push_back(index); mail@130: m_transProb.push_back(par.pAttackSelftrans); matthiasm@0: mail@130: m_from.push_back(index); mail@130: m_to.push_back(index+1); mail@130: m_transProb.push_back(1-par.pAttackSelftrans); matthiasm@0: matthiasm@0: // transitions from stable state mail@130: m_from.push_back(index+1); mail@130: m_to.push_back(index+1); // to itself mail@130: m_transProb.push_back(par.pStableSelftrans); matthiasm@0: mail@130: m_from.push_back(index+1); mail@130: m_to.push_back(index+2); // to silent mail@130: m_transProb.push_back(par.pStable2Silent); matthiasm@0: matthiasm@0: // the "easy" transitions from silent state mail@130: m_from.push_back(index+2); mail@130: m_to.push_back(index+2); mail@130: m_transProb.push_back(par.pSilentSelftrans); matthiasm@0: matthiasm@0: matthiasm@106: // the more complicated transitions from the silent matthiasm@0: double probSumSilent = 0; matthiasm@106: matthiasm@0: vector tempTransProbSilent; matthiasm@0: for (size_t jPitch = 0; jPitch < (par.nS * par.nPPS); ++jPitch) matthiasm@0: { matthiasm@0: int fromPitch = iPitch; matthiasm@0: int toPitch = jPitch; matthiasm@101: double semitoneDistance = matthiasm@101: std::abs(fromPitch - toPitch) * 1.0 / par.nPPS; matthiasm@0: mail@133: matthiasm@101: if (semitoneDistance == 0 || matthiasm@101: (semitoneDistance > par.minSemitoneDistance matthiasm@101: && semitoneDistance < par.maxJump)) matthiasm@0: { matthiasm@0: size_t toIndex = jPitch * par.nSPP; // note attack index matthiasm@0: matthiasm@101: double tempWeightSilent = boost::math::pdf(noteDistanceDistr, matthiasm@101: semitoneDistance); matthiasm@0: probSumSilent += tempWeightSilent; matthiasm@0: matthiasm@0: tempTransProbSilent.push_back(tempWeightSilent); matthiasm@0: mail@130: m_from.push_back(index+2); mail@130: m_to.push_back(toIndex); matthiasm@0: } matthiasm@0: } matthiasm@0: for (size_t i = 0; i < tempTransProbSilent.size(); ++i) matthiasm@0: { mail@133: m_transProb.push_back((1-par.pSilentSelftrans) * mail@133: tempTransProbSilent[i]/probSumSilent); matthiasm@0: } matthiasm@0: } mail@130: m_nTrans = m_transProb.size(); mail@130: m_delta = vector(m_nState); mail@130: m_oldDelta = vector(m_nState); matthiasm@0: } matthiasm@0: matthiasm@0: double matthiasm@0: MonoNoteHMM::getMidiPitch(size_t index) matthiasm@0: { matthiasm@0: return pitchDistr[index].mean(); matthiasm@0: } matthiasm@0: matthiasm@0: double matthiasm@0: MonoNoteHMM::getFrequency(size_t index) matthiasm@0: { matthiasm@0: return 440 * pow(2, (pitchDistr[index].mean()-69)/12); matthiasm@0: }