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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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KanjuTech Speech Language Detection Free trial

By:
KanjuTech
Latest Version:
1.00
Brain-inspired models and cutting-edge transformers for data-safe real-time language detection
Continue to Subscribe

    Product Overview

    KanjuTech's Speech Language Detection model ensures secure end-to-end real-time language identification. The model accurately detects language based on 3 words. The whole model processing takes about 400ms on ml.g4dn.xlarge instance. Following AWS's secure policy, only users can access processed data through SageMaker products.

    Key Data

    Version
    1.00
    Usage Instructions
    Release Notes
    By
    KanjuTech
    Categories
    Classification-Audio
    Speech Recognition
    ML Solutions
    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Achieve human-level precision in speech language detection with our industry-grade solution. Your data is secure because only you have access as the user.

    • Our model seamlessly accommodates widely used formats of audio.

    • Identify language in real-time based on 3-word phrases.

    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$0.25/hr

    running on ml.g4dn.xlarge

    Model Batch Transform$0.38/hr

    running on ml.p2.xlarge

    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$0.736/host/hr

    running on ml.g4dn.xlarge

    SageMaker Batch Transform$1.125/host/hr

    running on ml.p2.xlarge

    About Free trial

    Try this product for 14 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.g4dn.xlarge
    Vendor Recommended
    $0.25

    Usage Information

    Model input and output details

    Input

    Summary

    The model supports common audio input formats. The input data could be in the MIME types audio/mpeg, audio/mp4, or audio/x-wav, for example, m4a, mp3, or wav.

    Limitations for input type
    The duration of the audio/chunk needs to be less than 15 sec.
    Input MIME type
    text/plain
    Sample input data
    Expand all input descriptions
    Field name
    data
    Description
    Audio needs to be converted to bytes
    Required
    Yes
    Data type
    FreeText

    Output

    Summary

    Output is a text with detected language.

    Output MIME type
    text/xml
    Sample output data
    Expand all output descriptions
    Field name
    text
    Description
    Output is a text with detected language.
    Always returned
    Yes
    Data type
    FreeText

    Sample notebook

    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

    KanjuTech Speech Language Detection

    If you have any questions about our product, please feel free to contact us.
    aws@kanju.tech

    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

    Please contact our support team at aws@kanju.tech

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