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Audio Classification with PyTorch & Azure ML Service

Microsoft Reactor

113K subscribers

662 views 2 years ago

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Audio Classification with PyTorch & Azure ML Service

11Likes

662Views

2022May 20

In this workshop you will be learning how to do audio classification with PyTorch. There are multiple ways to build an audio classification model. You can use the waveform, tag sections of a wave file, or even use computer vision on the spectrogram image. In this session we will first break down how to understand audio data, from analog to digital representations, then we will build the model using computer vision on the spectrogram images. That's right, you can turn audio into an image representation and then do computer vision to classify the word spoken. The session will focus on Azure services and related products like Azure Machine Learning Service & PyTorch In this session you will Learn the basics of audio data, Learn how to visualize and transform audio dataand Build a binary classification speech model that can recognize "yes" and "no" Further Learning : https://aka.ms/IntrotoPyTorch-LM-26/3 Speaker : Shivam Sharma Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies. Social Handle LinkedIn - / shivam-sharma-9828a536 Twitter - / shivamsharma_ts Facebook - / tsshivamsharma [eventID:15610]

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Microsoft Reactor

113K subscribers

Audio Classification with PyTorch & Azure ML Service

Chapters View all

Introduction

Introduction

Introduction

Code of Conduct

Code of Conduct

Code of Conduct

Speaker Introduction

Speaker Introduction

Speaker Introduction

Agenda

Agenda

Agenda

Introduction to Audio Classification

Introduction to Audio Classification

Introduction to Audio Classification

Problem Statement

Problem Statement

Problem Statement

Learn Module

Learn Module

Learn Module

Sample Rate

Sample Rate

Sample Rate

Microsoft Reactor

Audio Classification with PyTorch & Azure ML Service

Chapters

Introduction

Introduction

Introduction

Code of Conduct

Code of Conduct

Code of Conduct

Speaker Introduction

Speaker Introduction

Speaker Introduction

Agenda

Agenda

Agenda

Introduction to Audio Classification

Introduction to Audio Classification

Introduction to Audio Classification

Problem Statement

Problem Statement

Problem Statement

Learn Module

Learn Module

Learn Module

Sample Rate

Sample Rate

Sample Rate

Amplitude

Amplitude

Amplitude

Frames

Frames

Frames

Azure ML Service

Azure ML Service

Azure ML Service

Azure Data Lake

Azure Data Lake

Azure Data Lake

To The Learned Module

To The Learned Module

To The Learned Module

Data Loader

Data Loader

Data Loader

Vector Representation

Vector Representation

Vector Representation

ML Spectrogram

ML Spectrogram

ML Spectrogram

CNN

CNN

CNN

Chapters

Chapters