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Deploy A Microsoft Azure Speech To Text Web App

Offered By: Coursera Project Network via Coursera

Tags

Microsoft Azure Courses Python Courses Natural Language Processing (NLP) Courses Streamlit Courses Heroku Courses Cloud Services Courses Speech to Text Courses Audio Transcription Courses

Course Description

Overview

In this 2-hour-long project-based course, you will learn how to import the necessary python modules for Azure Speech to Text SDK, Create a function to transcribe audio to text, Build a web app using Streamlit and deploy the web app to Heroku. This project is a beginner python project for anyone interested in learning about how to productionize cloud speech-to-text services, Azure, particularly through a web app on Heroku and leveraging python audio modules. At the end of this project, learners will have a publicly available Streamlit web app that can transcribe uploaded audio files

Syllabus

  • Project Overview
    • Welcome to the “Deploy A Microsoft Azure Speech To Text Web App” guided project. In this project, we will deploy a web app that leverages Microsoft Azure's Cognitive services to transcribe uploaded WAV audio files with a python Streamlit app. This project is a beginner python project for anyone interested in learning about how to productionize cloud speech-to-text services, Azure, particularly through a web app on Heroku and leveraging python audio modules. At the end of this project, learners will have a publicly available Streamlit web app that can transcribe uploaded audio files.

Taught by

Emmanuel Acheampong

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