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added multi-description example with dataset and json output (#260)
* added multi-description example with dataset and json output * corrected readme * example with UMAP in action * Update flucoma-core for hisstools header-only * Update hisstools library tag * clang_format the relevant files * Update HISSTools tags for out audio file fixes * Update tag for hisstools_library for sample writing offset fix * clang-formatted --------- Co-authored-by: lewardo <[email protected]> Co-authored-by: FluCoMa <[email protected]> Co-authored-by: Alex Harker <[email protected]>
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foreach (EXAMPLE describe) | ||
foreach (EXAMPLE dataset describe umap) | ||
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add_executable ( | ||
${EXAMPLE} ${EXAMPLE}.cpp | ||
) | ||
add_executable(${EXAMPLE} ${EXAMPLE}.cpp) | ||
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target_link_libraries( | ||
${EXAMPLE} PRIVATE FLUID_DECOMPOSITION | ||
) | ||
target_link_libraries(${EXAMPLE} PRIVATE FLUID_DECOMPOSITION) | ||
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target_compile_options(${EXAMPLE} PRIVATE ${FLUID_ARCH}) | ||
endforeach (EXAMPLE) | ||
target_compile_options(${EXAMPLE} PRIVATE ${FLUID_ARCH}) | ||
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endforeach(EXAMPLE) |
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/* | ||
Part of the Fluid Corpus Manipulation Project (http://www.flucoma.org/) | ||
Copyright University of Huddersfield. | ||
Licensed under the BSD-3 License. | ||
See license.md file in the project root for full license information. | ||
This project has received funding from the European Research Council (ERC) | ||
under the European Union’s Horizon 2020 research and innovation programme | ||
(grant agreement No 725899). | ||
*/ | ||
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/* | ||
This program demonstrates the use of the fluid decomposition toolbox | ||
to produces a dataset with the summary of spectral features on files | ||
*/ | ||
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#include <Eigen/Core> | ||
#include <algorithms/public/DCT.hpp> | ||
#include <algorithms/public/Loudness.hpp> | ||
#include <algorithms/public/MelBands.hpp> | ||
#include <algorithms/public/MultiStats.hpp> | ||
#include <algorithms/public/STFT.hpp> | ||
#include <algorithms/public/SpectralShape.hpp> | ||
#include <algorithms/public/YINFFT.hpp> | ||
#include <audio_file/in_file.hpp> | ||
#include <data/FluidDataSet.hpp> | ||
#include <data/FluidIndex.hpp> | ||
#include <data/FluidJSON.hpp> | ||
#include <data/FluidMemory.hpp> | ||
#include <data/TensorTypes.hpp> | ||
#include <cstdio> | ||
#include <iomanip> | ||
#include <iostream> | ||
#include <vector> | ||
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fluid::RealVector computeStats(fluid::RealMatrixView matrix, | ||
fluid::algorithm::MultiStats stats) | ||
{ | ||
fluid::index dim = matrix.cols(); | ||
fluid::RealMatrix tmp(dim, 7); | ||
fluid::RealVector result(dim * 7); | ||
stats.process(matrix.transpose(), tmp); | ||
for (int j = 0; j < dim; j++) | ||
{ | ||
result(fluid::Slice(j * 7, 7)) <<= tmp.row(j); | ||
} | ||
return result; | ||
} | ||
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int main(int argc, char* argv[]) | ||
{ | ||
using namespace fluid; | ||
using namespace fluid::algorithm; | ||
using fluid::index; | ||
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if (argc <= 2) | ||
{ | ||
std::cerr << "usage: describe output_file.json input_file_1.wav " | ||
"input_file_2.wav...\n"; | ||
return 1; | ||
} | ||
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FluidDataSet<std::string, double, 1> dataset(168); | ||
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const char* outputFile = argv[1]; | ||
for (int i = 2; i < argc; i++) | ||
{ | ||
const char* inputFile = argv[i]; | ||
htl::in_audio_file file(inputFile); | ||
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index nSamples = file.frames(); | ||
auto samplingRate = file.sampling_rate(); | ||
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if (!file.is_open()) | ||
{ | ||
std::cerr << "input file " << inputFile << " could not be opened\n"; | ||
return -2; | ||
} | ||
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index nBins = 513; | ||
index fftSize = 2 * (nBins - 1); | ||
index hopSize = 1024; | ||
index windowSize = 1024; | ||
index halfWindow = windowSize / 2; | ||
index nBands = 40; | ||
index nCoefs = 13; | ||
index minFreq = 20; | ||
index maxFreq = 5000; | ||
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STFT stft{windowSize, fftSize, hopSize}; | ||
MelBands bands{nBands, fftSize}; | ||
DCT dct{nBands, nCoefs}; | ||
YINFFT yin{nBins, FluidDefaultAllocator()}; | ||
SpectralShape shape(FluidDefaultAllocator()); | ||
Loudness loudness{windowSize}; | ||
MultiStats stats; | ||
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bands.init(minFreq, maxFreq, nBands, nBins, samplingRate, windowSize); | ||
dct.init(nBands, nCoefs); | ||
stats.init(0, 0, 50, 100); | ||
loudness.init(windowSize, samplingRate); | ||
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RealVector in(nSamples); | ||
file.read_channel(in.data(), nSamples, 0); | ||
RealVector padded(in.size() + windowSize + hopSize); | ||
index nFrames = floor((padded.size() - windowSize) / hopSize); | ||
RealMatrix pitchMat(nFrames, 2); | ||
RealMatrix loudnessMat(nFrames, 2); | ||
RealMatrix mfccMat(nFrames, nCoefs); | ||
RealMatrix shapeMat(nFrames, 7); | ||
std::fill(padded.begin(), padded.end(), 0); | ||
padded(Slice(halfWindow, in.size())) <<= in; | ||
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for (int i = 0; i < nFrames; i++) | ||
{ | ||
ComplexVector frame(nBins); | ||
RealVector magnitude(nBins); | ||
RealVector mels(nBands); | ||
RealVector mfccs(nCoefs); | ||
RealVector pitch(2); | ||
RealVector shapeDesc(7); | ||
RealVector loudnessDesc(2); | ||
RealVectorView window = padded(fluid::Slice(i * hopSize, windowSize)); | ||
stft.processFrame(window, frame); | ||
stft.magnitude(frame, magnitude); | ||
bands.processFrame(magnitude, mels, false, false, true, | ||
FluidDefaultAllocator()); | ||
dct.processFrame(mels, mfccs); | ||
mfccMat.row(i) <<= mfccs; | ||
yin.processFrame(magnitude, pitch, minFreq, maxFreq, samplingRate); | ||
pitchMat.row(i) <<= pitch; | ||
shape.processFrame(magnitude, shapeDesc, samplingRate, 0, -1, 0.95, false, | ||
false, FluidDefaultAllocator()); | ||
shapeMat.row(i) <<= shapeDesc; | ||
loudness.processFrame(window, loudnessDesc, true, true); | ||
loudnessMat.row(i) <<= loudnessDesc; | ||
} | ||
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RealVector pitchStats = computeStats(pitchMat, stats); | ||
RealVector loudnessStats = computeStats(loudnessMat, stats); | ||
RealVector shapeStats = computeStats(shapeMat, stats); | ||
RealVector mfccStats = computeStats(mfccMat, stats); | ||
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RealVector allStats(168); | ||
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allStats(fluid::Slice(0, 14)) <<= pitchStats; | ||
allStats(fluid::Slice(14, 14)) <<= loudnessStats; | ||
allStats(fluid::Slice(28, 49)) <<= shapeStats; | ||
allStats(fluid::Slice(77, 91)) <<= mfccStats; | ||
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dataset.add(inputFile, allStats); | ||
} | ||
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auto outputJSON = JSONFile(outputFile, "w"); | ||
outputJSON.write(dataset); | ||
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if (!outputJSON.ok()) | ||
{ | ||
std::cerr << "failed to write output to " << outputFile << "\n"; | ||
} | ||
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return 0; | ||
} |
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/* | ||
Part of the Fluid Corpus Manipulation Project (http://www.flucoma.org/) | ||
Copyright University of Huddersfield. | ||
Licensed under the BSD-3 License. | ||
See license.md file in the project root for full license information. | ||
This project has received funding from the European Research Council (ERC) | ||
under the European Union’s Horizon 2020 research and innovation programme | ||
(grant agreement No 725899). | ||
*/ | ||
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/* | ||
This program demonstrates the use of the fluid decomposition toolbox | ||
to apply an algorithm on an input dataset | ||
*/ | ||
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#include "algorithms/public/UMAP.hpp" | ||
#include <Eigen/Core> | ||
#include <data/FluidDataSet.hpp> | ||
#include <data/FluidIndex.hpp> | ||
#include <data/FluidJSON.hpp> | ||
#include <data/FluidMemory.hpp> | ||
#include <data/TensorTypes.hpp> | ||
#include <cstdio> | ||
#include <iomanip> | ||
#include <iostream> | ||
#include <vector> | ||
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int main(int argc, char* argv[]) | ||
{ | ||
using namespace fluid; | ||
using namespace fluid::algorithm; | ||
using fluid::index; | ||
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if (argc != 3) | ||
{ | ||
std::cerr << "usage: umap input_file.json output_file.json\n"; | ||
return 1; | ||
} | ||
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FluidDataSet<std::string, double, 1> datasetIN(1); | ||
FluidDataSet<std::string, double, 1> datasetOUT(1); | ||
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const char* inputFile = argv[1]; | ||
const char* outputFile = argv[2]; | ||
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auto inputJSON = JSONFile(inputFile, "r"); | ||
nlohmann::json j = inputJSON.read(); | ||
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if (!inputJSON.ok()) | ||
{ | ||
std::cerr << "failed to read input " << inputFile << "\n"; | ||
return 2; | ||
} | ||
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if (!check_json(j, datasetIN)) | ||
{ | ||
std::cerr << "Invalid JSON format\n"; | ||
return 3; | ||
} | ||
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datasetIN = j.get<FluidDataSet<std::string, double, 1>>(); | ||
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algorithm::UMAP algorithm; | ||
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datasetOUT = algorithm.train(datasetIN, 15, 2, 0.1, 200, 0.1); | ||
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auto outputJSON = JSONFile(outputFile, "w"); | ||
outputJSON.write(datasetOUT); | ||
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if (!outputJSON.ok()) | ||
{ | ||
std::cerr << "failed to write output to " << outputFile << "\n"; | ||
} | ||
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return 0; | ||
} |