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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.

Background Noise Classifier (CPU)

By: Appen (fka Figure Eight) Latest Version: Version 1

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)
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Additional Resources

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Support Information

Background Noise Classifier (CPU)

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