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Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)

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Request Data Sample
Volume
100K
Tracks
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries

Description

“Acoustic Country Blues” is an AI music dataset curated to encapsulate the rustic allure of acoustic country blues melodies. This collection resonates with authentic heartfelt strums, capturing the essence, fingerpicking intricacies, and melancholic chord progressions of acoustic country blues.
"Acoustic Country Blues" beckons you to the heart of a rustic musical landscape, where soulful storytelling meets the raw authenticity of country blues. This meticulously curated AI-generated music dataset captures the essence of a bygone era, encapsulating the heartfelt strums, intricate fingerpicking, and emotive chord progressions that define Acoustic Country Blues. With an array of carefully crafted samples, this provides an expansive canvas for machine learning applications, allowing the exploration and reimagining of the timeless allure of this genre through a modern, digital lens. Dive into the timeless beauty of acoustic guitar strums, the haunting notes of slide guitars, and the resonant warmth of fingerpicked strings. This exceptional AI Music Dataset encompasses an array of vital data categories, contributing to its excellence. It encompasses Machine Learning (ML) Data, serving as the foundation for training intricate algorithms that generate musical pieces. Music Data, offering a rich collection of melodies, harmonies, and rhythms that fuel the AI's creative process. AI & ML Training Data continuously hone the dataset's capabilities through iterative learning. Copyright Data ensures the dataset's compliance with legal standards, while Intellectual Property Data safeguards the innovative techniques embedded within, fostering a harmonious blend of technological advancement and artistic innovation. This dataset can also be useful as Advertising Data to generate music tailored to resonate with specific target audiences, enhancing the effectiveness of advertisements by evoking emotions and capturing attention. It can be a valuable source of Social Media Data as well. Users can post, share, and interact with the music, leading to increased user engagement and virality. The music's novelty and uniqueness can spark discussions, debates, and trends across social media communities, amplifying its reach and impact.

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.)

Volume

10,000 Tracks
50,000 Tracks
100,000 Tracks

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$10,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls

Use Cases

Machine Learning
Artificial Intelligence
Generative AI
AI Music
Music Generation

Categories

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Frequently asked questions

What is Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)?

“Acoustic Country Blues” is an AI music dataset curated to encapsulate the rustic allure of acoustic country blues melodies. This collection resonates with authentic heartfelt strums, capturing the essence, fingerpicking intricacies, and melancholic chord progressions of acoustic country blues.

What is Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data) used for?

This product has 5 key use cases. Rightsify recommends using the data for Machine Learning, Artificial Intelligence, Generative AI, AI Music, and Music Generation. Global businesses and organizations buy AI Training Data from Rightsify to fuel their analytics and enrichment.

Who can use Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for AI Training Data. Get in touch with Rightsify to see what their data can do for your business and find out which integrations they provide.

Which countries does Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data) cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Rightsify is headquartered in United States of America.

How much does Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data) cost?

Pricing for Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data) starts at USD10,000 per year. Connect with Rightsify to get a quote and arrange custom pricing models based on your data requirements.

How can I get Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)?

Businesses can buy AI Training Data from Rightsify and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Rightsify can deliver this product in .json, .csv, and .xls format.

What is the data quality of Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)?

You can compare and assess the data quality of Rightsify using Datarade’s data marketplace.

What are similar products to Acoustic Country Blues Dataset for AI-Generated Music (Machine Learning (ML) Data)?

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

Starts at
$10,000 / year
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$10,000 / year
Usage-based Not available