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Emmanuel Acheampong
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/rv5nzk/deploy
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What's inside
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills for creating a production-ready speech-to-text app by leveraging cloud services
Suitable for aspiring and practicing developers interested in leveraging cloud services for speech to text applications
Provides hands-on experience with Azure Speech-to-Text SDK, Streamlit, and Heroku
May require some prior knowledge of Python and web development for effective application
Save this course
Save Deploy A Microsoft Azure Speech To Text Web App to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Deploy A Microsoft Azure Speech To Text Web App with these
activities:
Follow tutorials on the Azure Speech-to-Text documentation
Show steps
The Azure Speech-to-Text documentation provides tutorials that students can follow to gain hands-on experience with speech transcription.
Browse courses on
Speech Recognition
Show steps
-
Find the tutorial that best suits their needs
-
Follow the step-by-step instructions
-
Experiment with different settings and parameters
Practice transcription tasks using Azure Speech Studio
Show steps
Azure Speech Studio is a platform that can help students solidify their understanding of speech transcription tasks.
Browse courses on
Speech Recognition
Show steps
-
Create an account on Azure Speech Studio
-
Upload audio files and transcribe them
-
Review the transcriptions and make any necessary corrections
Brush up on Python for Beginners
Show steps
Review the basics of Python syntax and data structures to ensure a solid foundation for the course.
Browse courses on
Python Basics
Show steps
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Practice Speech To Text Audio Transcription
Show steps
Practice transcribing audio to text using python and the Azure Speech-to-Text SDK to deepen your understanding of speech recognition techniques.
Browse courses on
Speech to Text
Show steps
-
Set up your development environment and install the necessary python libraries
-
Import the necessary python modules for Azure Speech to Text SDK
-
Create a function to transcribe audio to text
-
Test your function with a sample audio file
Azure Speech to Text practice problems
Show steps
Work on practice problems and exercises to apply and reinforce Azure Speech to Text concepts.
Show steps
-
Find online practice problems or exercises related to Azure Speech to Text.
-
Set a timer and attempt to solve the problems on your own.
-
Review your solutions and identify areas for improvement.
Build a Web App Using Streamlit
Show steps
Deepen your understanding of web application development by building a Streamlit web app that incorporates speech-to-text functionality, consolidating your skills in both speech recognition and web development.
Browse courses on
Streamlit
Show steps
-
Set up your development environment and install the necessary python libraries
-
Create a new Streamlit app
-
Add a file upload component to your app
-
Integrate your speech-to-text function into your app
-
Test your app by uploading an audio file
Build a simple Azure Speech to Text app with Streamlit
Show steps
Follow a tutorial to build a simple web app that leverages Azure Speech to Text for speech-to-text functionality.
Browse courses on
Streamlit
Show steps
-
Find a beginner-friendly tutorial on building a Streamlit app with Azure Speech to Text.
-
Follow the steps in the tutorial to set up your development environment.
-
Complete the tutorial and test the functionality of your app.
Deploy the Web App to Heroku
Show steps
Enhance your knowledge of cloud deployment by deploying your Streamlit web app to Heroku, providing you with practical experience in making your app publicly accessible.
Browse courses on
Heroku
Show steps
-
Create a Heroku account and install the Heroku CLI
-
Configure your app for deployment on Heroku
-
Deploy your app to Heroku
-
Test your deployed app by accessing the Heroku URL
Develop a speech-to-text web app based on course learnings
Show steps
Apply the concepts learned in the course to build a functional speech-to-text web app that meets your specific requirements.
Show steps
-
Identify a problem or need that a speech-to-text web app could address.
-
Design the architecture and user interface of your app.
-
Implement the app using Python, Azure Speech to Text, and Streamlit.
-
Test and refine your app to ensure it meets your requirements.
Contribute to an existing project related to Azure Speech to Text
Show steps
Make contributions to an existing project related to Azure Speech to Text to gain practical experience and contribute to the community.
Show steps
-
Find an open-source project related to Azure Speech to Text on a platform like GitHub.
-
Review the project's documentation and identify an area where you can contribute.
-
Create a pull request to contribute your changes to the project.
Assist a non-profit organization with speech-to-text related tasks
Show steps
Use your new skills to support a non-profit organization that has speech-to-text related needs, providing valuable experience.
Show steps
-
Find a non-profit organization that has a need for speech-to-text services.
-
Contact the organization and offer your services.
-
Assist the organization with tasks such as transcribing audio or creating speech-to-text applications.
Follow tutorials on the Azure Speech-to-Text documentation
Show steps
The Azure Speech-to-Text documentation provides tutorials that students can follow to gain hands-on experience with speech transcription.
Browse courses on
Speech Recognition
Show steps
Show steps
Show steps
- Find the tutorial that best suits their needs
- Follow the step-by-step instructions
- Experiment with different settings and parameters
Practice transcription tasks using Azure Speech Studio
Show steps
Azure Speech Studio is a platform that can help students solidify their understanding of speech transcription tasks.
Browse courses on
Speech Recognition
Show steps
Show steps
Show steps
- Create an account on Azure Speech Studio
- Upload audio files and transcribe them
- Review the transcriptions and make any necessary corrections
Brush up on Python for Beginners
Show steps
Review the basics of Python syntax and data structures to ensure a solid foundation for the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Practice Speech To Text Audio Transcription
Show steps
Practice transcribing audio to text using python and the Azure Speech-to-Text SDK to deepen your understanding of speech recognition techniques.
Browse courses on
Speech to Text
Show steps
Show steps
Show steps
- Set up your development environment and install the necessary python libraries
- Import the necessary python modules for Azure Speech to Text SDK
- Create a function to transcribe audio to text
- Test your function with a sample audio file
Azure Speech to Text practice problems
Show steps
Work on practice problems and exercises to apply and reinforce Azure Speech to Text concepts.
Show steps
Show steps
Show steps
- Find online practice problems or exercises related to Azure Speech to Text.
- Set a timer and attempt to solve the problems on your own.
- Review your solutions and identify areas for improvement.
Build a Web App Using Streamlit
Show steps
Deepen your understanding of web application development by building a Streamlit web app that incorporates speech-to-text functionality, consolidating your skills in both speech recognition and web development.
Browse courses on
Streamlit
Show steps
Show steps
Show steps
- Set up your development environment and install the necessary python libraries
- Create a new Streamlit app
- Add a file upload component to your app
- Integrate your speech-to-text function into your app
- Test your app by uploading an audio file
Build a simple Azure Speech to Text app with Streamlit
Show steps
Follow a tutorial to build a simple web app that leverages Azure Speech to Text for speech-to-text functionality.
Browse courses on
Streamlit
Show steps
Show steps
Show steps
- Find a beginner-friendly tutorial on building a Streamlit app with Azure Speech to Text.
- Follow the steps in the tutorial to set up your development environment.
- Complete the tutorial and test the functionality of your app.
Deploy the Web App to Heroku
Show steps
Enhance your knowledge of cloud deployment by deploying your Streamlit web app to Heroku, providing you with practical experience in making your app publicly accessible.
Browse courses on
Heroku
Show steps
Show steps
Show steps
- Create a Heroku account and install the Heroku CLI
- Configure your app for deployment on Heroku
- Deploy your app to Heroku
- Test your deployed app by accessing the Heroku URL
Develop a speech-to-text web app based on course learnings
Show steps
Apply the concepts learned in the course to build a functional speech-to-text web app that meets your specific requirements.
Show steps
Show steps
Show steps
- Identify a problem or need that a speech-to-text web app could address.
- Design the architecture and user interface of your app.
- Implement the app using Python, Azure Speech to Text, and Streamlit.
- Test and refine your app to ensure it meets your requirements.
Contribute to an existing project related to Azure Speech to Text
Show steps
Make contributions to an existing project related to Azure Speech to Text to gain practical experience and contribute to the community.
Show steps
Show steps
Show steps
- Find an open-source project related to Azure Speech to Text on a platform like GitHub.
- Review the project's documentation and identify an area where you can contribute.
- Create a pull request to contribute your changes to the project.
Assist a non-profit organization with speech-to-text related tasks
Show steps
Use your new skills to support a non-profit organization that has speech-to-text related needs, providing valuable experience.
Show steps
Show steps
Show steps
- Find a non-profit organization that has a need for speech-to-text services.
- Contact the organization and offer your services.
- Assist the organization with tasks such as transcribing audio or creating speech-to-text applications.
Career center
Learners who complete Deploy A Microsoft Azure Speech To Text Web App will develop knowledge and skills
that may be useful to these careers:
Speech Recognition Engineer
Speech Recognition Engineer
As a Speech Recognition Engineer, you will be responsible for designing, developing, and implementing speech recognition systems. This course will help you build a foundation in the fundamentals of speech recognition, including audio processing, feature extraction, and acoustic modeling. You will also learn about the different types of speech recognition systems and how to evaluate their performance. This knowledge will be essential for your success as a Speech Recognition Engineer.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop and implement systems that can understand and generate human language. This course will help you build a foundation in the fundamentals of natural language processing, including text processing, machine learning, and deep learning. You will also learn about the different types of natural language processing systems and how to evaluate their performance. This knowledge will be essential for your success as a Natural Language Processing Engineer.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. This course will help you build a foundation in the fundamentals of data science, including data analysis, machine learning, and deep learning. You will also learn about the different types of data science projects and how to evaluate their success. This knowledge will be essential for your success as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning systems. This course will help you build a foundation in the fundamentals of machine learning, including supervised learning, unsupervised learning, and deep learning. You will also learn about the different types of machine learning systems and how to evaluate their performance. This knowledge will be essential for your success as a Machine Learning Engineer.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. This course will help you build a foundation in the fundamentals of database administration, including database design, database implementation, and database maintenance. You will also learn about the different types of databases and how to evaluate their performance. This knowledge will be essential for your success as a Database Administrator.
Project Manager
Project Manager
Project Managers plan, execute, and control projects. This course will help you build a foundation in the fundamentals of project management, including project planning, project execution, and project control. You will also learn about the different types of projects and how to evaluate their success. This knowledge will be essential for your success as a Project Manager.
DevOps Engineer
DevOps Engineer
DevOps Engineers design, implement, and maintain the processes and tools that enable software development and operations teams to work together effectively. This course will help you build a foundation in the fundamentals of DevOps, including DevOps principles, DevOps tools, and DevOps practices. You will also learn about the different types of DevOps teams and how to evaluate their success. This knowledge will be essential for your success as a DevOps Engineer.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, implement, and manage cloud computing systems. This course will help you build a foundation in the fundamentals of cloud computing, including cloud architecture, cloud services, and cloud security. You will also learn about the different types of cloud computing systems and how to evaluate their performance. This knowledge will be essential for your success as a Cloud Engineer.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation for software systems. This course will help you build a foundation in the fundamentals of technical writing, including technical writing principles, technical writing tools, and technical writing practices. You will also learn about the different types of technical writing projects and how to evaluate their success. This knowledge will be essential for your success as a Technical Writer.
Information Technology Manager
Information Technology Manager
Information Technology Managers plan, implement, and manage information technology systems. This course will help you build a foundation in the fundamentals of information technology management, including IT strategy, IT governance, and IT operations. You will also learn about the different types of information technology systems and how to evaluate their performance. This knowledge will be essential for your success as an Information Technology Manager.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate software systems to ensure that they meet quality standards. This course will help you build a foundation in the fundamentals of quality assurance, including software testing, software evaluation, and software quality assurance. You will also learn about the different types of software quality assurance projects and how to evaluate their success. This knowledge will be essential for your success as a Quality Assurance Analyst.
Web Developer
Web Developer
Web Developers design, develop, and implement websites and web applications. This course will help you build a foundation in the fundamentals of web development, including HTML, CSS, JavaScript, and web frameworks. You will also learn about the different types of websites and web applications and how to evaluate their usability. This knowledge will be essential for your success as a Web Developer.
Business Analyst
Business Analyst
Business Analysts help businesses to improve their processes and systems. This course will help you build a foundation in the fundamentals of business analysis, including business process analysis, business systems analysis, and business requirements analysis. You will also learn about the different types of business analysis projects and how to evaluate their success. This knowledge will be essential for your success as a Business Analyst.
Software Engineer
Software Engineer
Software Engineers design, develop, and implement software systems. This course will help you build a foundation in the fundamentals of software engineering, including software design, software development, and software testing. You will also learn about the different types of software systems and how to evaluate their quality. This knowledge will be essential for your success as a Software Engineer.
Data Analyst
Data Analyst
Data Analysts use data to make informed decisions. This course will help you build a foundation in the fundamentals of data analysis, including data collection, data cleaning, and data visualization. You will also learn about the different types of data analysis projects and how to evaluate their success. This knowledge will be essential for your success as a Data Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/rv5nzk/deploy
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deploy A Microsoft Azure Speech To Text Web App.
Provides a comprehensive overview of speech and language processing, covering topics such as speech production and perception, natural language processing, and machine learning for speech and language processing. It valuable resource for anyone interested in learning more about the field.
Provides a comprehensive overview of natural language processing, covering topics such as speech production and perception, natural language processing, and machine learning for speech and language processing. It valuable resource for anyone interested in learning more about the field.
Provides a comprehensive overview of speech and language processing for linguistics, covering topics such as speech production and perception, natural language processing, and machine learning for speech and language processing. It valuable resource for anyone interested in learning more about the field.
Save
Provides a comprehensive overview of natural language processing in Python, covering topics such as speech production and perception, natural language processing, and machine learning for speech and language processing. It valuable resource for anyone interested in learning more about the field.
Provides a comprehensive overview of speech and language engineering, covering topics such as speech production and perception, natural language processing, and machine learning for speech and language processing. It valuable resource for anyone interested in learning more about the field.
Provides a practical introduction to natural language processing, with a focus on using Python for NLP tasks. It covers a wide range of topics, including text classification, sentiment analysis, and machine translation.
Save
Provides a comprehensive overview of deep learning for natural language processing. It covers a wide range of topics, including word embeddings, recurrent neural networks, and attention mechanisms.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a popular open-source library for natural language processing in Python. It covers a wide range of topics, including text classification, sentiment analysis, and machine translation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rv5nzk/deploy
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Emmanuel Acheampong
Language
English
Good to know
Develops skills for creating a production-ready speech-to-text app by leveraging cloud services
Suitable for aspiring and practicing developers interested in leveraging cloud services for speech to text applications
Provides hands-on experience with Azure Speech-to-Text SDK, Streamlit, and Heroku
May require some prior knowledge of Python and web development for effective application
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