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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Cyanite Audio Analyzer

Latest Version:
mpv2
The Cyanite Audio Analyzer will analyze audio (music) and gives back tagging results.

    Product 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.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • New updated AI Auto-Description

    • Performance increase: ~2x faster per inference

    • Refined Taxonomy

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$1.00/inference

    running on any instance

    Model Batch Transform$450.00/hr

    running on ml.c5.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.408/host/hr

    running on ml.c5.2xlarge

    SageMaker Batch Transform$0.408/host/hr

    running on ml.c5.2xlarge

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on the number of inferences generated by the ML Model per month. Typically, the number of inferences is the same as the number of successful calls to the real-time endpoint. For models that support multiple inputs in a request, sellers have the option to meter the number of inputs processed in a request to count generated inferences.
    Additional infrastructure cost, taxes or fees may apply.

    Usage Information

    Model input and output details

    Input

    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
    Sample input data

    Output

    Summary

    The container returns JSON-formatted output. Please have a look at the documentation and JSON Scheme here

    Output MIME type
    application/json
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Cyanite Audio Analyzer

    Please send any support requests to support@cyanite.ai

    AWS Infrastructure

    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.

    Learn More

    Refund Policy

    No refunds.

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