Sold by: KanjuTechÂ
Deployed on AWS
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Brain-inspired models and cutting-edge transformers for data-safe real-time language detection
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.
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.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor.
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/host/hour |
|---|---|---|
ml.p2.xlarge Inference (Batch) Recommended | Model inference on the ml.p2.xlarge instance type, batch mode | $0.38 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $0.25 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $1.28 |
Vendor refund policy
Please contact our support team at aws@kanju.techÂ
Legal
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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
KanjuTech's Speech Language Detection model's first release
Additional details
Inputs
- 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
- audio/mpeg, audio/mp4, audio/x-wav
https://github.com/KanjuTech/aws-marketplace/blob/main/sld_example_input.m4a
https://github.com/KanjuTech/aws-marketplace/blob/main/sld_example_input.m4a
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
data | Audio needs to be converted to bytes | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
If you have any questions about our product, please feel free to contact us. aws@kanju.techÂ
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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