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.
Music Recognition (Trainable Algorithm) Free trial
By:
Latest Version:
v1
Automatic music genre recognition
Product Overview
Sensifai offers automatic music genre recognition and tagging. For example, our basic software recognizes different categories of music pieces. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of music genres by providing the required training dataset.
Key Data
Version
By
Categories
Type
Algorithm
Highlights
Sensifai's basic music genre recognition system covers different categories of music (this software is accessible through AWS marketplace). However, customers and users often deal with a new set of concepts and musics. Therefore, we have designed an easy-to-use interface which automates the process of training a music genre recognition system.
If you do not have dataset for training or looking for pre-trained models for music recognition or other domains of audio/video/image analysis, you can check our ready to use API or contact us directly (sales@sensifai.com).
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
Algorithm Training$.4/hr
running on ml.p3.2xlarge
Model Realtime Inference$2.00/hr
running on ml.p2.xlarge
Model Batch Transform$2.00/hr
running on ml.p2.xlarge
Infrastructure PricingWith 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
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 Algorithm Training$3.825/host/hr
running on ml.p3.2xlarge
SageMaker Realtime Inference$1.125/host/hr
running on ml.p2.xlarge
SageMaker Batch Transform$1.125/host/hr
running on ml.p2.xlarge
About Free trial
Try this product for 2 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
Algorithm Training
For algorithm training 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 | Algorithm/hr | |
|---|---|---|
ml.p2.xlarge | $0.10 | |
ml.p3.2xlarge Vendor Recommended | $0.40 | |
ml.c5.2xlarge | $1.00 | |
ml.c5.xlarge | $0.70 | |
ml.c5.4xlarge | $1.00 | |
ml.c5.9xlarge | $2.00 | |
ml.m5.large | $0.10 |
Usage Information
Fulfillment Methods
Amazon SageMaker
See example notebook for example usage.
Channel specification
Fields marked with * are required
training
Input modes: File
Content types: -
Compression types: None
Hyperparameters
Fields marked with * are required
WINDOW_SIZE
Size of window
Type: Integer
Tunable: No
N_MELS
Number of mel frequency bands
Type: Integer
Tunable: No
SEED
random seed for spliting data
Type: Integer
Tunable: No
N_LAYERS
Number of layers
Type: Integer
Tunable: No
FILTER_LENGTH
length of filter
Type: Integer
Tunable: No
CONV_FILTER_COUNT
Number of convolutional filter
Type: Integer
Tunable: No
LSTM_COUNT
Number of LSTM
Type: Integer
Tunable: No
BATCH_SIZE
Number of batches
Type: Integer
Tunable: No
EPOCH_COUNT
Number of samples for training
Type: Integer
Tunable: No
DEFAULT_SHAPE
input frame lenth to pad
Type: Integer
Tunable: No
VALIDATION_SPLITER
split traning data
Type: Integer
Tunable: No
VALIDATION_PERCENT
what percentage of data is for validation.
Type: Integer
Tunable: No
Additional Resources
End User License Agreement
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Support Information
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 MoreRefund 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.
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