Deploy A Microsoft Azure Speech To Text Web App
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
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- Level Beginner
- Duration 4 hours
- Course by Coursera Project Network
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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 filesModules
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Learn to deploy a Microsoft Azure Speech to Text web app in this 2-hour beginner course. You'll import Python modules, create transcription functions, build a web app with Streamlit, and deploy on Heroku. Ideal for those new to cloud speech-to-text services, this course offers a practical project to enhance your IT and computer science skills. Available for free on Coursera, guided by expert instruction.
Emmanuel Acheampong