MIRCourse:在MTG-UPF的SMC Master的MIR课程中使用的python笔记本
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2021-05-27
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MIRCourse-master.zip （95个子文件） 
MIRCourse-master data baris 
varyingTempoBlues.mp3 2.75MB waw.wav 62KB eh.wav 184KB compMusicDatasets turkishMakam annotations.json 209KB
readme.txt 836B melody segmentation 
expertSegmentation_bars1_4.jpg 933KB hicaz--sarki--aksak--su_karsiki_dagda--dede_efendi.mid 8KB
LBDM_midiToolbox_bars1_4.png 40KB freesound whistle_1.wav 68KB kiss_3.wav 75KB kiss_0.wav 75KB whistle_2.wav 97KB kiss_1.wav 54KB kiss_7.wav 75KB kiss_8.wav 65KB 256595__aberrian__uke-single-notes.wav 1.09MB kiss_5.wav 65KB whistle_8.wav 127KB kiss_4.wav 97KB whistle_6.wav 112KB whistle_0.wav 68KB whistle_9.wav 121KB kiss_9.wav 215KB kiss_6.wav 65KB chroma min35fromE.mp3 168KB maj35fromE.mp3 560KB min35fromE.lab 374B guitarOpenStrings_synth.mp3 145KB maj35fromE.lab 1KB docker-compose.yml 188B .gitignore 7B README.md 2KB notebooks Lecture1_step1.ipynb 139KB ReviewLecture_3_HelloSpectrogram.ipynb 160KB Lecture2_step1_F0AutoCorr.ipynb 69KB figures classification_basicFlow.png 31KB MIRresearchOverview_1.png 32KB README.md 66B Lecture2_step3_summingBandEnergies.ipynb 94KB DownloadDataFromUrl.ipynb 2KB Lecture1_step4_essentiaExample_MFCC.ipynb 129KB studentNotebooks performanceAnalysis symbolicPerformance.ipynb 791KB instrumentRecognition json_flattener.py 468B confirm_prompt.py 359B download_file_from_google_drive.py 966B instrumentRecognition.ipynb 13KB tonalComplexity Tonal_Complexity.ipynb 93KB formantTracking data guitar.wav 99KB piano.wav 331KB Formant Tracking.ipynb 178KB beatPatternsForGenre BeatPatternLab.ipynb 232KB tempoAnalysis Tempogram.ipynb 13KB genreTaxonomies MappingGenreTaxonomies.ipynb 167KB onsetDetection OnsetDetectionFromNovelty.ipynb 256KB makamRecognition MakamRecognitionUsingPitchHistograms.ipynb 296KB melodicSimilarity melodic_similarity.ipynb 189KB scaleDetection ScaleDetectionUsingChromaFeatures.ipynb 120KB .ipynb_checkpoints ScaleDetectionUsingChromaFeatures-checkpoint.ipynb 120KB noteSegmentation noteSegmentation.ipynb 579KB automaticTranscription AutomaticTranscription.ipynb 3.57MB Lecture4_4_tuningAnalysis_SetOfRecordings.ipynb 386KB DownloadDataFromDunya_noToken.ipynb 4KB Lecture2_step3_summingBandEnergies_solution.ipynb 614KB Lecture3_step3_Tempogram_autoCorr.ipynb 42KB Lecture2_step4_ChordDetectionDemo.ipynb 10.88MB Lecture1_step2_usingEssentiaStandard.ipynb 77KB Lecture5_matchingTimeSeriesData.ipynb 408KB ReviewLecture_1_HelloSpectrum_solution.ipynb 40KB ReviewLecture_2_EnergyOfASignal_solution.ipynb 837KB ReviewLecture_1_HelloSpectrum.ipynb 40KB ReviewLecture_2_EnergyOfASignal.ipynb 837KB Lecture2_step1_F0AutoCorr_solution.ipynb 69KB tutorials_MTGresearchers genreClassification genre_classification.ipynb 9KB Lecture3_step2_Onset_Beat_Detection.ipynb 94KB Lecture3_step1_noveltyFunctions.ipynb 240KB Lecture5_melodicSegmentation.ipynb 74KB Lecture1_step5_SpectralEnvelopeUsingLPC.ipynb 1.41MB DownloadDataFromFreeSound_noToken.ipynb 3KB Index.ipynb 7KB external_utilities predominantmelodymakam.py 14KB pitchdistribution.py 20KB converter.py 2KB readme.txt 206B Lecture3_step1_noveltyFunctions_solution.ipynb 241KB Lecture1_IntroWithACaseStudy.ipynb 785KB CopyOtherResources.ipynb 2KB Lecture2_step2_EssPreDomMel.ipynb 86KB Lecture5_music21_intro.ipynb 162KB Lecture1_step3_cepstrum.ipynb 332KB README.md 814B Lecture4_1_downloadAllSARAGAContent.ipynb 17KB Lecture4_2_visualizeAnnotations.ipynb 8.03MB ReviewLecture_3_HelloSpectrogram_solution.ipynb 160KB Lecture4_3_tuningAnalysis_SingleRecording.ipynb 86KB Lecture1_step1_solution.ipynb 140KB资源评论
