Machine learning Music Data | 50,000 Files | Vocal and Instrumental | Cleared for Generative AI and Machine Learning | Soundsnap product image in hero

Machine learning Music Data | 50,000 Files | Vocal and Instrumental | Cleared for Generative AI and Machine Learning | Soundsnap

Soundsnap
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#
Filename
Genre
Subgenre
Similar to
Mood
Instrument
Attributes
BPM
Description
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx
2 Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
3 Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx
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6 Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx
7 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx
8 Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx
9 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx
10 Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx
... Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx
Sign In To Preview Data
Volume
50K
music tracks
Data Quality
20%
vocal
Avail. Formats
.csv and .xls
File
Coverage
249
Countries
History
10
years

Data Dictionary

[Sample] Soundsnap small music sampler.csv
Attribute Type Example Mapping
Filename
String Tomorrow (66-BPM)
Genre
String Pop
Subgenre
String Pop Ballads
Similar to
String The Weeknd, Dua Lipa, Selena Gomez, Lauv, Justin Bieber, ...
Mood
String Sad, Contemplative, Hopeful
Instrument
String Synth, Piano, Drums, Bass, Samples
Attributes
String Atmospheric, Emotional, Minimal
BPM
Integer 66
Description
String A chill and motivating synth pop ballad with hopeful over...
Product Attributes
Attribute Type Example Mapping
Genre
Rap/Hip-Hop
Subgenre
Alternative Hip-Hop
Similar to
Big K.R.I.T., Tyler The Creator, Bun B, Freddie Gibbs, Ma...
Mood
Chill, Carefree, Hopeful
Instrument
Piano, Synth, Drums, 808
Attributes
Atmospheric, Bouncy, Fashion
BPM
72
Description
A sexy and soulful modern alternative hip-hop track with ...

Description

The premier global music dataset. It includes 50,000 professional tracks across all genres, each accompanied by meticulously curated metadata. All rights are fully cleared for application in machine learning and AI generation.
Our catalog spans all modern genres, encompassing hip hop/ trap, all types of modern pop, EDM, reggaeton all the way to opera. It features music produced by individuals who have collaborated with notable artists like Gunna, Wizkid, Lil Pump, The Jonas Brothers, Polo G, Skepta, Ty Dolla $ign, among others. Tracks have stems and have been professionally mixed and mastered.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

10 years of historical data

Volume

50,000 music tracks

Pricing

Free sample available
License Starts at
One-off purchase
$500,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
20%
vocal
80%
instrumental

Delivery

Methods
S3 Bucket
REST API
Streaming API
Frequency
on-demand
Format
.csv
.xls

Use Cases

Machine Learning (ML)
Deep Learning Generative AI

Categories

Related Searches

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Frequently asked questions

What is Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap?

The premier global music dataset. It includes 50,000 professional tracks across all genres, each accompanied by meticulously curated metadata. All rights are fully cleared for application in machine learning and AI generation.

What is Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap used for?

This product has 3 key use cases. Soundsnap recommends using the data for Machine Learning (ML), Deep Learning, and Generative AI. Global businesses and organizations buy Machine Learning (ML) Data from Soundsnap to fuel their analytics and enrichment.

Who can use Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap?

This product is best suited if you’re a Enterprise looking for Machine Learning (ML) Data. Get in touch with Soundsnap to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap go?

This product has 10 years of historical coverage. It can be delivered on a on-demand basis.

Which countries does Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Soundsnap is headquartered in Cyprus.

How much does Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap cost?

Pricing for Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap starts at USD500,000 per purchase. Connect with Soundsnap to get a quote and arrange custom pricing models based on your data requirements.

How can I get Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap?

Businesses can buy Machine Learning (ML) Data from Soundsnap and get the data via S3 Bucket, REST API, and Streaming API. Depending on your data requirements and subscription budget, Soundsnap can deliver this product in .csv and .xls format.

What is the data quality of Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap?

Soundsnap has reported that this product has the following quality and accuracy assurances: 80% instrumental, 20% vocal. You can compare and assess the data quality of Soundsnap using Datarade’s data marketplace.

What are similar products to Machine learning Music Data 50,000 Files Vocal and Instrumental Cleared for Generative AI and Machine Learning Soundsnap?

This product has 3 related products. These alternatives include Music Data for Machine Learning (ML) 50,000 Music Files Updated Weekly Royalty Free Music Pre-cleared for Generative AI, FileMarket 20,000 Voice Memos Multilingual Training Data for Conversational AI Machine Learning (ML) Data, and Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data. You can compare the best Machine Learning (ML) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$500,000 / purchase
License Starts at
One-off purchase
$500,000 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available