Amazon SageMaker
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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.
Product Overview
This model is trained to recognize if there is any sort of background noise (be it a dog barking, street sounds, static, airplane noise, or anything other than the main speaker speaking) when there is a single speaker in the audio snippet. Fundamentally, it classifies an audio recording as noisy or not noisy and can detect background noise from both female and male speaker. We’ve tested this model on .wav audio, with 44100 sample rates, 16 bits per sample, and 2 channels with an average file size of 2MB.
Key Data
| By | Appen (fka Figure Eight) |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Additional Resources
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Support Information
Background Noise Classifier (GPU)
If you need any support, have questions, or suggestions, please email ml-support@figure-eight.com
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