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Deploy A Microsoft Azure Speech To Text Web App
Emmanuel Acheampong
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
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
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Activities
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Deploy A Microsoft Azure Speech To Text Web App.
These are activities you can do either before, during, or after a course.
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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