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The AI Show: Ep 55 | Audio analytics with Azure Automated ML
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2022Apr 13
Serge Retkowsky is back to demonstrate how audio processing can consist of extracting audio signal information into spectrograms (time vs frequency vs Db) images that we can use to build a custom vision model with Azure. We'll also extract some audio components and use a generic classification model with Azure ML and its AutoML features. Jump to: 00:00 Welcome to the AI Show 01:27 Intro to Audio analytics with Azure Automated ML 03:02 Fast Fourier Transform (FFT) - Time Domain Signal to Frequency Domain Signal 05:10 Spectogram of how the spectrum of of frequencies vary over time 07:50 Demo - Music Genre Classification 13:15 Creating a Chromagram 14:05 Spectograms generation 15:04 Music Genre Classification with Automated ML for Images 16:34 Calling AutoML CV Model 22:42 Demo 2 25:29 Learn more Recommended resources: AutoML for Images doc https://aka.ms/AIShow/AutoML/AzureML AutoML for Images Algorithms https://aka.ms/AIShow/AutoMLImages/Al... AutoML for Images Tutorial https://aka.ms/AIShow/AutoMLImages/Tu... Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Connect with Seth   / sethjuarez   Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe AI Show Playlist https://aka.ms/AIShowPlaylist Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

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Microsoft Developer

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