Machine learning Music Data | 50,000 Files | Vocal and Instrumental | Cleared for Generative AI and Machine Learning | Soundsnap
# | 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 |
4 | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
5 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
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 |
Data Dictionary
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... |
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
Country Coverage
History
Volume
50,000 | music tracks |
Pricing
License | Starts at |
---|---|
One-off purchase |
$500,000 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
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.