Sold by: Appen (fka Figure Eight)Â
Overview
This model will generate lyrics for your next Billboard-topping single. It was trained on a corpus of songs of 139 artists, including those of many of the 100 most popular artists in America. The API takes two inputs: an artist name and seed words that the song could start with and will generate a new song in the lyrical style of the specified artist.
Highlights
- This model will generate lyrics for your next Billboard-topping single
Details
Sold by
Categories
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
For CPU: We recommend using a ml.c5.xlarge (CPU) instance type. Our tests on these took 4.246 seconds prediction time for average payloads of 64 Bytes when invoked from a desktop.
Additional details
Inputs
- Summary
Example for the /invocations endpoint:
Input (application/json): Artist name and seed lyrics (start of song).
Payload: {"instances": [{"artist":"adele", "seed": "goodbye"}]}
Output (application/json): Lyrics! (Note, if we don’t know the artist, you’ll get a 422 error with list of known artists)
Content: {"predictions": [ { "lyrics": {"Goodbye, are you there ..."}}]}
- Input MIME type
- json
See Input Summary
See Input Summary
Resources
Vendor resources
Support
Vendor support
If you need any support, have questions, or suggestions, please email ml-support@figure-eight.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
The Cyanite Lyrics Extractor extracts the lyrics from a musical audio file using deep learning technology.
Parakeet-tdt-0.6b-v2 is a 600-million-parameter automatic speech recognition (ASR) model designed for high-quality English transcription, featuring support for punctuation, capitalization, and accurate timestamp prediction.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.