Constants

Constant settings.

Settings that should not be modified easily within the scope of this project. There are three categories of the setting:

• Feature

• Datasets

• Midi

Feature

Records the settings of the feature extraction process. There are also default settings that can be adjusted, and are records in defaults/*.yaml files.

Some constant feature settings.

omnizart.constants.feature.CHORD_INT_MAPPING = {'A#:maj': 10, 'A#:min': 22, 'A:maj': 9, 'A:min': 21, 'B:maj': 11, 'B:min': 23, 'C#:maj': 1, 'C#:min': 13, 'C:maj': 0, 'C:min': 12, 'D#:maj': 3, 'D#:min': 15, 'D:maj': 2, 'D:min': 14, 'E:maj': 4, 'E:min': 16, 'F#:maj': 6, 'F#:min': 18, 'F:maj': 5, 'F:min': 17, 'G#:maj': 8, 'G#:min': 20, 'G:maj': 7, 'G:min': 19, 'N': 24, 'X': 25}

Mapping of chord names to integers (for chord module).

omnizart.constants.feature.ENHARMONIC_TABLE = {'Ab': 'G#', 'Bb': 'A#', 'Cb': 'B', 'Db': 'C#', 'Eb': 'D#', 'Fb': 'E', 'Gb': 'F#'}

Table of major chord to corresponding enharmonic chord (for chord module)

omnizart.constants.feature.FEATURE_NAME_TO_NUMBER = {'C': 3, 'Ceps': 3, 'G': 2, 'GCoS': 2, 'S': 1, 'Spec': 1}

Feature name to channel number mapping (for music module)

omnizart.constants.feature.NOTE_PRIORITY_ARRAY = [2.0364304, 1.4848346, 0.5027617, 0.5768271, 2.8335114, 0.733738, 0.83764803, 0.5139924, 0.4998506, 0.4733462, 0.5940674, 0.7641602, 1.148832]

Weighting factor for different drum notes (for drum module).

Datasets

Records the directory structure of each dataset, and will be used for extracting the feature of the whole dataset (not yet supported…).

Information about each dataset.

Supports an easy way to deal with complex folder structure of different datasets in a consice interface. Partial support for downloading public datasets.

Complete information of supported datasets are as following:

Dataset	Downloadable	Dataset	Downloadable
Maps		BPS-FH	O
MusicNet	O	MIR-1K	O
Maestro	O	CMedia
Pop		Tonas
Ext-Su	O	MedleyDB
BillBoard	O

class omnizart.constants.datasets.BaseStructure

Bases: object

Defines the necessary attributes and common functions for each sub-dataset structure class.

All sub-dataset structure class should inherit this base class to ensure the necessary attributes and methods are overriden.

Attributes

label_ext

test_labels

test_wavs

train_labels

train_wavs

url

Methods

download([save_path])	Download the dataset.
get_test_data_pair(dataset_path)	Get pair of testing file and the coressponding label file path.
get_test_labels(dataset_path)	Get list of complete test label paths
get_test_wavs(dataset_path)	Get list of complete test wav paths
get_train_data_pair(dataset_path)	Get pair of training file and the coressponding label file path.
get_train_labels(dataset_path)	Get list of complete train label paths
get_train_wavs(dataset_path)	Get list of complete train wav paths
load_label(label_path)	Load and parse labels for the given label file path.

classmethod download(save_path='./')

Download the dataset.

After download the compressed (zipped) dataset file, the function will automatically decompress it and delete the original zipped file.

You can apply some post process after download by overriding the function _post_download. The _post_download function receives a single dataset_path as the parameter, and you can do anything to the dataset such as re-organize the directory structure, or filter out some files.

classmethod get_test_data_pair(dataset_path)

Get pair of testing file and the coressponding label file path.

classmethod get_test_labels(dataset_path)

Get list of complete test label paths

classmethod get_test_wavs(dataset_path)

Get list of complete test wav paths

classmethod get_train_data_pair(dataset_path)

Get pair of training file and the coressponding label file path.

classmethod get_train_labels(dataset_path)

Get list of complete train label paths

classmethod get_train_wavs(dataset_path)

Get list of complete train wav paths

label_ext = None

The extension of ground-truth files (e.g. .mid, .csv).

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

test_labels = None

Records folders that contains testing labels.

Similar to the train_labels function, records information of where the corresponding ground-truth files are stored.

test_wavs = None

Record folders that contain testing wav files.

Same as what train_wavs does, but for testing wav files.

train_labels = None

Record folders that contains training labels.

Similar to the train_wavs function, records information of where the corresponding ground-truth files are stored.

train_wavs = None

Record folders that contain trainig wav files.

The path to sub-folders should be the relative path to root folder of the dataset.

Examples

Assume the structure of the dataset looks like following

maps

├── MAPS_AkPnCGdD_2

│   └── AkPnCGdD

└── MAPS_AkPnBcht_2

   └── AkPnBcht

where AkPnCGdD and AkPnBcht are the folders that store the wav files. The function should then return a list like:

>>> [‘MAPS_AkPnCGdD_2/AkPnCGdD’, ‘MAPS_AkPnBcht_2/AkPnBcht’]

url = None

The URL for downloading the dataset.

class omnizart.constants.datasets.BeethovenSonatasStructure

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of BPS-FH dataset

url = 'https://drive.google.com/uc?export=download&id=1nYq2FB5LQfYJoXyYZl3XcklpJkCOnwhV'

Hosted dataset download url.

class omnizart.constants.datasets.CMediaStructure

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of CMedia dataset.

Methods

load_label(label_path)

Load and parse labels for the given label file path.

label_ext = '.csv'

Label extension

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

test_labels = []

Folder to test labels

test_wavs = []

Folder to test wavs

train_labels = ['train_labels']

Folder to train labels

train_wavs = ['train_data']

Folder to train wavs

url = 'https://drive.google.com/uc?export=download&id=15b298vSP9cPP8qARQwa2X_0dbzl6_Eu7'

Official download url provided by MIREX.

class omnizart.constants.datasets.ExtSuStructure

Bases: omnizart.constants.datasets.BaseStructure

Structure of Extended-Su dataset

label_ext = '.mid'

Label extension

test_labels = ['1 Tchaikovsky', '2 schumann', '3 beethoven', '5 Mozart', 'PQ01_Dvorak', 'PQ02_Elgar', 'PQ03_Farranc', 'PQ04_Frank', 'PQ05_Hummel', 'PQ06_Schostakovich', 'PQ07_Schubert', 'PQ08_Schubert', 'SQ01_Beethoven', 'SQ02_Janacek', 'SQ03_Schubert', 'SQ04_Janacek', 'SQ04_Ravel', 'SQ05_Mozart', 'SQ07_Haydn', 'SQ08_Dvorak', 'SQ09_Ravel', 'SY06_Mahler', 'VS01_Schumann', 'VS02_Brahms', 'VS03_Debussy', 'VS04_Franck', 'VS05_Mozart', 'WQ01_Nielsen', 'WQ02_Schoenberg', 'WQ03_Cambini', 'WQ04_Danzi']

Folder to test labels

test_wavs = ['1 Tchaikovsky', '2 schumann', '3 beethoven', '5 Mozart', 'PQ01_Dvorak', 'PQ02_Elgar', 'PQ03_Farranc', 'PQ04_Frank', 'PQ05_Hummel', 'PQ06_Schostakovich', 'PQ07_Schubert', 'PQ08_Schubert', 'SQ01_Beethoven', 'SQ02_Janacek', 'SQ03_Schubert', 'SQ04_Janacek', 'SQ04_Ravel', 'SQ05_Mozart', 'SQ07_Haydn', 'SQ08_Dvorak', 'SQ09_Ravel', 'SY06_Mahler', 'VS01_Schumann', 'VS02_Brahms', 'VS03_Debussy', 'VS04_Franck', 'VS05_Mozart', 'WQ01_Nielsen', 'WQ02_Schoenberg', 'WQ03_Cambini', 'WQ04_Danzi']

Folder to test wavs

train_labels = []

Folder to train labels

train_wavs = []

Folder to train wavs

url = 'https://drive.google.com/uc?export=download&id=1Miw9G2O1Y8g253RQ2uQ4udM5XMKB-9p8'

Dataset URL

class omnizart.constants.datasets.MIR1KStructure

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of MIR-1K dataset.

Methods

load_label(label_path)

Load and parse labels for the given label file path.

label_ext = '.pv'

Label extension

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

percent_train = 0.88

Percentage of training data to be partitioned.

test_labels = ['PitchLabel']

Folder to test labels

test_wavs = ['test_data']

Folder to test wavs

train_labels = ['PitchLabel']

Folder to train labels

train_wavs = ['train_data']

Folder to train wavs

url = 'http://mirlab.org/dataset/public/MIR-1K.zip'

Download url of MIR-1K dataset

class omnizart.constants.datasets.MaestroStructure

Bases: omnizart.constants.datasets.BaseStructure

Structure of Maestro dataset

label_ext = '.midi'

Label extension

test_labels = ['2018']

Folder to test labels

test_wavs = ['2018']

Folder to test wavs

train_labels = ['2004', '2006', '2008', '2009', '2011', '2013', '2014', '2015', '2017']

Folder to train labels

train_wavs = ['2004', '2006', '2008', '2009', '2011', '2013', '2014', '2015', '2017']

Folder to train wavs

url = 'https://storage.googleapis.com/magentadata/datasets/maestro/v2.0.0/maestro-v2.0.0.zip'

Dataset URL

class omnizart.constants.datasets.MapsStructure

Bases: omnizart.constants.datasets.BaseStructure

Structure of MAPS dataset

Methods

load_label(label_path)

Load and parse labels for the given label file path.

label_ext = '.txt'

Label extension

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

test_labels = ['MAPS_ENSTDkAm_2/ENSTDkAm/MUS', 'MAPS_ENSTDkCl_2/ENSTDkCl/MUS']

Folder to test labels

test_wavs = ['MAPS_ENSTDkAm_2/ENSTDkAm/MUS', 'MAPS_ENSTDkCl_2/ENSTDkCl/MUS']

Folder to test wavs

train_labels = ['MAPS_AkPnBcht_2/AkPnBcht/MUS', 'MAPS_AkPnBsdf_2/AkPnBsdf/MUS', 'MAPS_AkPnStgb_2/AkPnStgb/MUS', 'MAPS_AkPnCGdD_2/AkPnCGdD/MUS', 'MAPS_SptkBGCl_2/SptKBGCl/MUS', 'MAPS_StbgTGd2_2/StbgTGd2/MUS']

Folder to train labels

train_wavs = ['MAPS_AkPnBcht_2/AkPnBcht/MUS', 'MAPS_AkPnBsdf_2/AkPnBsdf/MUS', 'MAPS_AkPnStgb_2/AkPnStgb/MUS', 'MAPS_AkPnCGdD_2/AkPnCGdD/MUS', 'MAPS_SptkBGCl_2/SptKBGCl/MUS', 'MAPS_StbgTGd2_2/StbgTGd2/MUS']

Folder to train wavs

class omnizart.constants.datasets.McGillBillBoard

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of McGill BillBoard dataset.

Methods

get_test_labels(dataset_path)	Get list of complete test label paths
get_test_wavs(dataset_path)	Get list of complete test wav paths
get_train_labels(dataset_path)	Get list of complete train label paths
get_train_wavs(dataset_path)	Get list of complete train wav paths

feature_file_name = 'bothchroma.csv'

Name of feature files

feature_folder = './McGill-Billboard-Features'

Path to the feature folder relative to dataset

classmethod get_test_labels(dataset_path)

Get list of complete test label paths

classmethod get_test_wavs(dataset_path)

Get list of complete test wav paths

classmethod get_train_labels(dataset_path)

Get list of complete train label paths

classmethod get_train_wavs(dataset_path)

Get list of complete train wav paths

ignore_ids = [353, 634, 1106]

File IDs to be ignored

index_file_path = './billboard-2.0-index.csv'

Path to the index file relative the dataset

label_file_name = 'majmin.lab'

Name of label files

label_folder = './McGill-Billboard-MIREX'

Path to the label folder relative to dataset

train_test_split_id = 1000

Split ID of train/test set.

url = 'https://drive.google.com/uc?export=download&id=1_K_Fof4zt1IQvs1aDmf-5wY0wHqgcPlC'

Dataset URL

class omnizart.constants.datasets.MedleyDBStructure

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of MedleyDB dataset.

Notice here that current design of the structure is for getting vocal melody ground-truth files only. All other tracks are ignored when calling to get_train_data_pair or get_test_data_pair.

Methods

get_test_labels(dataset_path)	Get list of complete test label paths
get_train_labels(dataset_path)	Get list of complete train label paths
load_label(label_path)	Load and parse labels for the given label file path.

classmethod get_test_labels(dataset_path)

Get list of complete test label paths

classmethod get_train_labels(dataset_path)

Get list of complete train label paths

label_ext = '.csv'

Extension of pitch label files.

label_postfix = '_STEM_{track_num}'

Postfix of pitch label files. Can be formatted with label_postfix.format(track_num=...).

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

meta_file_postfix = '_METADATA.yaml'

Postfix of meta files.

pitch_annotation_folder = 'Annotations/Pitch_Annotations'

Folder to pitch-related ground truth files. The reason to define another variable for holding the same content as train_labels is to keep the flexibility for extending the ability getting other kinds of ground-truth files such as guitar tracks or bass tracks.

test_labels = ['Annotations/Pitch_Annotations']

Folder to test label files

test_wavs = ['Audio/MusicDelta_FunkJazz', 'Audio/Phoenix_LarkOnTheStrandDrummondCastle', 'Audio/MatthewEntwistle_TheArch', 'Audio/SecretMountains_HighHorse', 'Audio/Snowmine_Curfews', 'Audio/StevenClark_Bounty', 'Audio/TablaBreakbeatScience_Animoog', 'Audio/ClaraBerryAndWooldog_AirTraffic', 'Audio/MusicDelta_Rockabilly', 'Audio/JoelHelander_Definition']

Folder to test wavs

train_labels = ['Annotations/Pitch_Annotations']

Folder to train label files

train_wavs = ['Audio/AClassicEducation_NightOwl', 'Audio/AimeeNorwich_Child', 'Audio/AimeeNorwich_Flying', 'Audio/AlexanderRoss_GoodbyeBolero', 'Audio/AlexanderRoss_VelvetCurtain', 'Audio/AmarLal_Rest', 'Audio/AmarLal_SpringDay1', 'Audio/Auctioneer_OurFutureFaces', 'Audio/AvaLuna_Waterduct', 'Audio/BigTroubles_Phantom', 'Audio/BrandonWebster_DontHearAThing', 'Audio/BrandonWebster_YesSirICanFly', 'Audio/CelestialShore_DieForUs', 'Audio/ChrisJacoby_BoothShotLincoln', 'Audio/ClaraBerryAndWooldog_Boys', 'Audio/ClaraBerryAndWooldog_Stella', 'Audio/ClaraBerryAndWooldog_TheBadGuys', 'Audio/ClaraBerryAndWooldog_WaltzForMyVictims', 'Audio/Creepoid_OldTree', 'Audio/CroqueMadame_Oil', 'Audio/CroqueMadame_Pilot', 'Audio/Debussy_LenfantProdigue', 'Audio/DreamersOfTheGhetto_HeavyLove', 'Audio/EthanHein_1930sSynthAndUprightBass', 'Audio/EthanHein_BluesForNofi', 'Audio/EthanHein_GirlOnABridge', 'Audio/EthanHein_HarmonicaFigure', 'Audio/FamilyBand_Again', 'Audio/Grants_PunchDrunk', 'Audio/Handel_TornamiAVagheggiar', 'Audio/HeladoNegro_MitadDelMundo', 'Audio/HezekiahJones_BorrowedHeart', 'Audio/HopAlong_SisterCities', 'Audio/InvisibleFamiliars_DisturbingWildlife', 'Audio/JoelHelander_ExcessiveResistancetoChange', 'Audio/JoelHelander_IntheAtticBedroom', 'Audio/KarimDouaidy_Hopscotch', 'Audio/KarimDouaidy_Yatora', 'Audio/LizNelson_Coldwar', 'Audio/LizNelson_ImComingHome', 'Audio/LizNelson_Rainfall', 'Audio/MatthewEntwistle_AnEveningWithOliver', 'Audio/MatthewEntwistle_DontYouEver', 'Audio/MatthewEntwistle_FairerHopes', 'Audio/MatthewEntwistle_ImpressionsOfSaturn', 'Audio/MatthewEntwistle_Lontano', 'Audio/MatthewEntwistle_TheFlaxenField', 'Audio/Meaxic_TakeAStep', 'Audio/Meaxic_YouListen', 'Audio/MichaelKropf_AllGoodThings', 'Audio/Mozart_BesterJungling', 'Audio/Mozart_DiesBildnis', 'Audio/MusicDelta_80sRock', 'Audio/MusicDelta_Beatles', 'Audio/MusicDelta_BebopJazz', 'Audio/ChrisJacoby_PigsFoot', 'Audio/FacesOnFilm_WaitingForGa', 'Audio/Lushlife_ToynbeeSuite', 'Audio/MusicDelta_Beethoven', 'Audio/MusicDelta_Grunge', 'Audio/Phoenix_BrokenPledgeChicagoReel', 'Audio/MusicDelta_Britpop', 'Audio/MusicDelta_ChineseChaoZhou', 'Audio/MusicDelta_ChineseDrama', 'Audio/MusicDelta_ChineseHenan', 'Audio/MusicDelta_ChineseJiangNan', 'Audio/MusicDelta_ChineseXinJing', 'Audio/MusicDelta_ChineseYaoZu', 'Audio/MusicDelta_CoolJazz', 'Audio/MusicDelta_Country1', 'Audio/MusicDelta_Country2', 'Audio/MusicDelta_Disco', 'Audio/MusicDelta_FreeJazz', 'Audio/MusicDelta_FusionJazz', 'Audio/MusicDelta_Gospel', 'Audio/MusicDelta_GriegTrolltog', 'Audio/MusicDelta_Hendrix', 'Audio/MusicDelta_InTheHalloftheMountainKing', 'Audio/MusicDelta_LatinJazz', 'Audio/MusicDelta_ModalJazz', 'Audio/MusicDelta_Pachelbel', 'Audio/MusicDelta_Punk', 'Audio/MusicDelta_Reggae', 'Audio/MusicDelta_Rock', 'Audio/MusicDelta_Shadows', 'Audio/MusicDelta_SpeedMetal', 'Audio/MusicDelta_SwingJazz', 'Audio/MusicDelta_Vivaldi', 'Audio/MusicDelta_Zeppelin', 'Audio/NightPanther_Fire', 'Audio/Phoenix_ColliersDaughter', 'Audio/Phoenix_ElzicsFarewell', 'Audio/Phoenix_ScotchMorris', 'Audio/Phoenix_SeanCaughlinsTheScartaglen', 'Audio/PortStWillow_StayEven', 'Audio/PurlingHiss_Lolita', 'Audio/Schubert_Erstarrung', 'Audio/Schumann_Mignon', 'Audio/StrandOfOaks_Spacestation', 'Audio/SweetLights_YouLetMeDown', 'Audio/TablaBreakbeatScience_CaptainSky', 'Audio/TablaBreakbeatScience_MiloVsMongo', 'Audio/TablaBreakbeatScience_MoodyPlucks', 'Audio/TablaBreakbeatScience_PhaseTransition', 'Audio/TablaBreakbeatScience_RockSteady', 'Audio/TablaBreakbeatScience_Scorpio', 'Audio/TablaBreakbeatScience_Vger', 'Audio/TablaBreakbeatScience_WhoIsIt', 'Audio/TheDistricts_Vermont', 'Audio/TheScarletBrand_LesFleursDuMal', 'Audio/TheSoSoGlos_Emergency', 'Audio/Wolf_DieBekherte']

Folder to train wavs

wav_postfix = '_MIX'

Postfix of wav files.

class omnizart.constants.datasets.MusicNetStructure

Bases: omnizart.constants.datasets.BaseStructure

Structure of MusicNet dataset

Methods

load_label(label_path)

Load and parse labels for the given label file path.

label_ext = '.csv'

Label extension

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

test_labels = ['test_labels']

Folder to test labels

test_wavs = ['test_data']

Folder to test wavs

train_labels = ['train_labels']

Folder to train labels

train_wavs = ['train_data']

Folder to train wavs

url = 'https://homes.cs.washington.edu/~thickstn/media/musicnet.tar.gz'

Dataset URL

class omnizart.constants.datasets.PopStructure

Bases: omnizart.constants.datasets.BaseStructure

Structure of Pop dataset

label_ext = '.mid'

Label extension

test_labels = ['05_align_mid/dist0p30']

Folder to test labels

test_wavs = ['01_ytd_audio/dist0p30']

Folder to test wavs

train_labels = ['05_align_mid/dist0p00', '05_align_mid/dist0p10', '05_align_mid/dist0p20', '05_align_mid/dist0p40', '05_align_mid/dist0p50', '05_align_mid/dist0p60']

Folder to train labels

train_wavs = ['01_ytd_audio/dist0p00', '01_ytd_audio/dist0p10', '01_ytd_audio/dist0p20', '01_ytd_audio/dist0p40', '01_ytd_audio/dist0p50', '01_ytd_audio/dist0p60']

Folder to train wavs

class omnizart.constants.datasets.TonasStructure

Bases: omnizart.constants.datasets.BaseStructure

Constant settings of TONAS dataset.

Attributes

url

Methods

load_label(label_path)

Load and parse labels for the given label file path.

label_ext = '.notes.Corrected'

Label extension for note-level transcription.

label_f0_ext = '.f0.Corrected'

Label extension for f0 contour transcription.

classmethod load_label(label_path)

Load and parse labels for the given label file path.

Parses different format of label information to shared intermediate format, encapslated with Label instances. The default is parsing MIDI file format.

test_labels = []

Folder to test labels

test_wavs = []

Folder to test wavs

train_labels = ['Deblas', 'Martinetes1', 'Martinetes2']

Folder to train labels

train_wavs = ['Deblas', 'Martinetes1', 'Martinetes2']

Folder to train wavs

url = None

The dataset is not made public. You have to ask for the access from zenodo: https://zenodo.org/record/1290722

Midi

Records MIDI related settings, including mapping of program number and the corresponding instrument name.

Stores MIDI-related constant variables.

omnizart.constants.midi.MIDI_PROGRAM_NAME_MAPPING = {'0': 'Acoustic Grand Piano', '1': 'Bright Acoustic Piano', '10': 'Music Box', '100': 'FX 5 (brightness)', '101': 'FX 6 (goblins)', '102': 'FX 7 (echoes)', '103': 'FX 8 (sci-fi)', '104': 'Sitar', '105': 'Banjo', '106': 'Shamisen', '107': 'Koto', '108': 'Kalimba', '109': 'Bag pipe', '11': 'Vibraphone', '110': 'Fiddle', '111': 'Shanai', '112': 'Tinkle Bell', '113': 'Agogo', '114': 'Steel Drums', '115': 'Woodblock', '116': 'Taiko Drum', '117': 'Melodic Tom', '118': 'Synth Drum', '119': 'Reverse Cymbal', '12': 'Marimba', '120': 'Guitar Fret Noise', '121': 'Breath Noise', '122': 'Seashore', '123': 'Bird Tweet', '124': 'Telephone Ring', '125': 'Helicopter', '126': 'Applause', '127': 'Gunshot', '13': 'Xylophone', '14': 'Tubular Bells', '15': 'Dulcimer', '16': 'Drawbar Organ', '17': 'Percussive Organ', '18': 'Rock Organ', '19': 'Church Organ', '2': 'Electric Grand Piano', '20': 'Reed Organ', '21': 'Accordion', '22': 'Harmonica', '23': 'Tango Accordion', '24': 'Acoustic Guitar (nylon)', '25': 'Acoustic Guitar (steel)', '26': 'Electric Guitar (jazz)', '27': 'Electric Guitar (clean)', '28': 'Electric Guitar (muted)', '29': 'Overdriven Guitar', '3': 'Honky-tonk Piano', '30': 'Distortion Guitar', '31': 'Guitar Harmonics', '32': 'Acoustic Bass', '33': 'Electric Bass (finger)', '34': 'Electric Bass (pick)', '35': 'Retless Bass', '36': 'Slap Bass 1', '37': 'Slap Bass 2', '38': 'Synth Bass 1', '39': 'Synth Bass 2', '4': 'Electric Piano 1', '40': 'Violin', '41': 'Viola', '42': 'Cello', '43': 'Contrabass', '44': 'Tremolo Strings', '45': 'Pizzicato Strings', '46': 'Orchestral Harp', '47': 'Timpani', '48': 'String Ensemble 1', '49': 'String Ensemble 2', '5': 'Electric Piano 2', '50': 'Synth Strings 1', '51': 'Synth Strings 2', '52': 'Choir Aahs', '53': 'Voice Oohs', '54': 'Synth Voice', '55': 'Orchestra Hit', '56': 'Trumpet', '57': 'Trombone', '58': 'Tuba', '59': 'Muted Trumpet', '6': 'Harpsichord', '60': 'French Horn', '61': 'Brass Section', '62': 'Synth Brass 1', '63': 'Synth Brass 2', '64': 'Soprano Sax', '65': 'Alto Sax', '66': 'Tenor Sax', '67': 'Baritone Sax', '68': 'Oboe', '69': 'English Horn', '7': 'Clavi', '70': 'Bassoon', '71': 'Clarinet', '72': 'Piccolo', '73': 'Flute', '74': 'Recorder', '75': 'Pan Flute', '76': 'Blown Bottle', '77': 'Shakuhachi', '78': 'Whistle', '79': 'Ocarina', '8': 'Celesta', '80': 'Lead 1 (square)', '81': 'Lead 2 (sawtooth)', '82': 'Lead 3 (calliope)', '83': 'Lead 4 (chiff)', '84': 'Lead 5 (charang)', '85': 'Lead 6 (voice)', '86': 'Lead 7 (fifths)', '87': 'Lead 8 (bass+lead)', '88': 'Pad 1 (new age)', '89': 'Pad 2 (warm)', '9': 'Glockenspiel', '90': 'Pad 3 (polysynth)', '91': 'Pad 4 (choir)', '92': 'Pad 5 (bowed)', '93': 'Pad 6 (metallic)', '94': 'Pad 7 (halo)', '95': 'Pad 8 (sweep)', '96': 'FX 1 (rain)', '97': 'FX 2 (soundtrack)', '98': 'FX 3 (crystal)', '99': 'FX 4 (atmosphere)'}

Mappings of MIDI program number and the corresponding name derived from the Wiki page: https://en.wikipedia.org/wiki/General_MIDI

omnizart.constants.midi.MUSICNET_INSTRUMENT_PROGRAMS = [0, 6, 40, 41, 42, 43, 60, 68, 70, 71, 73]

Program numbers that are used in MusicNet dataset.

omnizart.constants.midi.POP_INSTRUMENT_PROGRAMES = [24, 32, 40, 0, 56]

Program numbers that represent different groups of channels used in Pop dataset. Guitar, bass, strings, organ, piano, and others

omnizart.constants.midi.SOUNDFONT_PATH = '/home/runner/work/omnizart/omnizart/omnizart/resource/soundfonts.sf2'

Path to the soundfont.