Sold by: Cyanite
Deployed on AWS
The Cyanite Audio Analyzer will analyze audio (music) and gives back tagging results.
Overview
The Cyanite Audio Analyzer is a powerfull tool to automatically tag music. It offers a broad variety of tags like BPM, Key, Mood, Genre, Sub-genre, Voice, Voice, Gender, Voice, Tags, Instruments, Valence & Arousal, Energy Level, Energy Dynamics, Musical Era, Movement, Character, Classical Epoch, and AI Descriptions.
Highlights
- New updated AI Auto-Description
- Performance increase: ~2x faster per inference
- Refined Taxonomy
Details
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Delivery method
Latest version
Deployed on AWS
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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
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost |
|---|---|---|
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $450.00/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $1.00/request |
Dimensions summary
This listing bills you two ways, both tied to usage. The first dimension charges for model inference on the ml.c5.2xlarge instance in batch mode, priced per host hour. You pay for the time the instance runs while processing your audio. The second dimension charges per inference request, so cost scales with the number of analyses you run. These two dimensions work together rather than as competing tiers. You pay for compute time on the batch instance plus a per-request fee for each inference the model performs.
Top-of-mind questions for buyers
Each inference request is one analysis the model runs on an audio file you submit. Cost scales directly with how many analyses you request. You upload mp3s up to 15 minutes long, and each file processed counts toward your request total on that dimension.
The host-hour dimension meters the time the ml.c5.2xlarge instance runs in batch mode. Charges accrue while the instance is active and processing. A fully stopped instance does not accrue software host-hour charges, though underlying AWS storage fees may still apply separately.
Both charges apply together on the same bill. Host-hour charges dominate when the batch instance runs for long stretches on large catalogs. Per-request charges dominate when you run many separate analyses on shorter or fewer runtime windows. Your workload pattern decides which weighs more.
cyanite.ai
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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
New Cyanite Audio Analyzer
Additional details
Inputs
- Summary
Calling the model package is done via REST. The container expects audio files as binary data within the data field of a POST request. We recommend the SageMaker Python SDK for handling invocations.
- Input MIME type
- audio/mpeg
https://github.com/cyanite-ai/aws-marketplace/blob/main/audio_analyzer/examples/example-audios/podcast-jingle-01-by-musikhalde-from-filmmusic-io.mp3
https://github.com/cyanite-ai/aws-marketplace/blob/main/audio_analyzer/examples/example-audios/podcast-jingle-01-by-musikhalde-from-filmmusic-io.mp3
Resources
Vendor resources
Support
Vendor support
Please send any support requests to support@cyanite.ai
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.
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