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maia-markov

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Markov analysis and generation functions supporting various applications by Music Artificial Intelligence Algorithms, Inc.

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// Copyright Tom Collins, 2.3.2020 // Analysing MIDI files to create state-transition matrix and initial // distribution for melody representations for AI Eurovision 2020 project. // Individual user paths. const mainPaths = { "tom": { "midi": "/Users/tomthecollins/Shizz/York/Projects/AI\ Eurovision/AI\ SONG\ CONTEST\ DATASET/", "midiDirs": [ "MIDI" ], "outputDir": __dirname + "/stm/", "outputFileName": "aiev2020_data_melody" }, "anotherUser": { // ... } } // Requires. const fs = require("fs") const uu = require("uuid/v4") const { Midi } = require('@tonejs/midi') const mu = require("maia-util") const an = require("./analyze") // Parameters const targetChannel = 0 // Should be where the melodies are encoded. const param = { "stateType": "beat_rel_MNN_state", "onAndOff": false, "nosConsecutives": 4 } // Grab user name from command line to set path to data. let nextU = false let mainPath; process.argv.forEach(function(arg, ind){ if (arg === "-u"){ nextU = true } else if (nextU){ mainPath = mainPaths[arg] nextU = false } }) // fs.mkdir(outdir); // Import and analyse the MIDI files. let midiDirs = fs.readdirSync(mainPath["midi"]); midiDirs = midiDirs.filter(function(midiDir){ return mainPath["midiDirs"].indexOf(midiDir) >= 0; }) console.log("midiDirs:", midiDirs) midiDirs.forEach(function(midiDir, jDir){ console.log("Working on midiDir:", midiDir, "jDir:", jDir); let pComps = []; let pFiles = fs.readdirSync(mainPath["midi"] + midiDir); pFiles = pFiles.filter(function(pFile){ return pFile.split(".")[1] == "midi" }) console.log("pFiles.length:", pFiles.length); pFiles.forEach(function(pFile, iFile){ console.log("pFile:", pFile) if (iFile % 10 == 0){ console.log("!!! PFILE " + (iFile + 1) + " OF " + pFiles.length + " !!!") } try { const midiData = fs.readFileSync(mainPath["midi"] + midiDir + "/" + pFile); const midi = new Midi(midiData) const timeSigs = [midi.header.timeSignatures.map(function(ts){ return { "barNo": ts.measures + 1, "topNo": ts.timeSignature[0], "bottomNo": ts.timeSignature[1], "ontime": ts.ticks/midi.header.ppq } })[0]] // SUPER HACKY. REVISE LATER! console.log("timeSigs:", timeSigs) let points = [] midi.tracks.map(function(track){ if (track.channel == targetChannel){ track.notes.map(function(n){ points.push([ n.ticks/midi.header.ppq, n.midi, n.durationTicks/midi.header.ppq, track.channel, Math.round(1000*n.velocity)/1000 ]) }) } }) // console.log("points.slice(0, 5):", points.slice(0, 5)); const fsm = mu.fifth_steps_mode(points, mu.krumhansl_and_kessler_key_profiles) console.log("fsm:", fsm) points.map(function(p){ p.splice(2, 0, mu.guess_morphetic(p[1], fsm[2], fsm[3])) }) let comp = an.note_point_set2comp_obj( points, timeSigs, false, [0, 1/4, 1/2, 3/4, 1]//, [0, 1/6, 1/4, 1/3, 1/2, 2/3, 3/4, 5/6, 1] ); console.log("comp.notes.length:", comp.notes.length); // Strip off file extension. pFile = pFile.split(".")[0]; comp["id"] = pFile // comp["id"] = uu(); // comp["idGmd"] = pFile comp["name"] = pFile; // comp["name"] = midi.header.name || mFile.split(".")[0] // "_new" comp["composers"] = [{"id": "default_composer", "name": "none", "displayName": "None"}] pComps.push(comp); } catch (e) { console.log(e) } }); let pStm = an.construct_stm(pComps, param) // console.log("pStm.length:", pStm.length); pStm = an.prune_stm(pStm, param) // console.log("pStm[0].beat_mnn_state:", pStm[0].beat_mnn_state); // console.log("pStm.slice(0, 1):", pStm.slice(0, 1)); fs.writeFileSync( mainPath["outputDir"] + mainPath["outputFileName"] + ".js", // "var perc_" + midiDir + " = " + JSON.stringify(pStm)//, null, 2) // + ";" ) let pInitialDistbn = an.construct_initial(pComps, param) pInitialDistbn = an.prune_initial(pInitialDistbn, pStm, param) fs.writeFileSync( mainPath["outputDir"] + mainPath["outputFileName"] + "_initial.js", // "var perc_" + midiDir + " = " + JSON.stringify(pInitialDistbn)//, null, 2) // + ";" ) })