Sold by: SensifaiÂ
Overview
Sensifai offers automatic audio recognition and tagging. For example, our basic software recognizes hundreds of different sound categories like musical instruments, natural sounds, and machinery audios. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of audios and sounds by providing the required training dataset.
Highlights
- Sensifai's basic audio recognition system covers hundreds of concepts (this software is accessible through AWS marketplace). However, customers and users often deal with a new set of sounds. Therefore, we have designed an easy-to-use interface which automates the process of training an audio/sound recognition system.
- You can use Sensifai's interface through Sagemaker to develop an audio/sound recognition system that covers your set of concepts for your own specific use-case. Provide a training dataset and create your own audio recognition system immediately.
- If you do not have dataset for training or looking for pre-trained models for audio recognition or other domains of video/image analysis, you can check our ready to use API or contact us directly (sales@sensifai.com).
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
Free trial
Try this product free for 2 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 | $3.60 |
ml.p2.xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.xlarge instance type, real-time mode | $3.50 |
ml.p2.xlarge Training Recommended | Algorithm training on the ml.p2.xlarge instance type | $0.10 |
Vendor refund policy
You may cancel your subscription at any time; However, we will not refund payments made by you under the agreement for any reason whatsoever.
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 algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the 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
Audio or sound recognition.
Additional details
Inputs
- Summary
See example notebook for example usage.
- Input MIME type
- audio/wav, audio/mp3
See Input Summary
See Input Summary
Resources
Vendor resources
Support
Vendor support
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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