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Catalin Popa
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Speech Cognitive Services resource and use it in a C# console application by executing API calls to generate predictions.
You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then building a simple C# console application with Visual Studio Community that will execute speech-to-text in different languages.
Read more
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Speech Cognitive Services resource and use it in a C# console application by executing API calls to generate predictions.
You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then building a simple C# console application with Visual Studio Community that will execute speech-to-text in different languages.
Read more
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Speech Cognitive Services resource and use it in a C# console application by executing API calls to generate predictions.
You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then building a simple C# console application with Visual Studio Community that will execute speech-to-text in different languages.
The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure.
If you enjoy this project, we recommend taking the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization: https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals
Register for this course and see more details by visiting:
OpenCourser.com/course/wc7xr2/build
What's inside
Syllabus
Project Overview
By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Speech Cognitive Services resource and use it in a C# console application by executing API calls to generate predictions. You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then building a simple C# console application with Visual Studio Community that will execute speech-to-text in different languages. The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by experts in AI and Machine Learning at Microsoft Azure, assuring high-quality instruction
Suitable for beginners looking to build a foundation in AI and Machine Learning, with no prior experience required
Provides a comprehensive overview of Speech Cognitive Services, covering both concepts and practical applications
Offers hands-on experience through API calls and C# console application development, fostering practical skills
Aligned with industry best practices, ensuring relevance and applicability in the field
Course completion prepares learners for the Microsoft Azure AI Fundamentals AI-900 Exam, enhancing career prospects
Save this course
Save Build automated speech systems with Azure Cognitive Services 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 Build automated speech systems with Azure Cognitive Services with these
activities:
Review basic programming concepts before starting the course
Show steps
Refresh basic programming skills to enhance understanding of speech recognition concepts.
Browse courses on
Programming Fundamentals
Show steps
-
Review basic programming syntax and semantics.
-
Practice writing simple programs in a programming language.
Review concepts of natural language processing and machine learning before starting the course
Show steps
Strengthen understanding of foundational concepts related to speech recognition.
Browse courses on
Natural Language Processing
Show steps
-
Read introductory articles and books on natural language processing.
-
Review machine learning algorithms and techniques.
Join a study group or online forum dedicated to speech recognition
Show steps
Engage with peers to discuss and learn about speech recognition.
Show steps
-
Find a study group or online forum focused on speech recognition.
-
Participate in discussions and ask questions.
-
Share knowledge and resources with other members.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Exploring the Azure Portal for Speech Cognitive Services
Show steps
Explore the Azure Portal to become familiar with the interface and locate the Speech Cognitive Services resource.
Show steps
-
Log into the Azure Portal.
-
Navigate to the Speech Cognitive Services resource.
-
Familiarize yourself with the Speech Cognitive Services settings.
Complete practice exercises on speech recognition
Show steps
Improve understanding of speech recognition by completing practice exercises.
Show steps
-
Identify the different types of speech recognition systems.
-
Run and analyze speech recognition results.
-
Troubleshoot common speech recognition problems.
Building a C# Console Application Using Visual Studio
Show steps
Create a simple C# console application using Visual Studio to implement speech-to-text functionality.
Show steps
-
Add the necessary references.
-
Write the C# code to implement speech-to-text.
-
Open Visual Studio Community.
-
Create a new C# console application.
-
Test and debug the application.
API Calls to Generate Speech Predictions
Show steps
Practice executing API calls to the Speech Cognitive Services resource to generate predictions in different languages.
Show steps
-
Create a C# console application.
-
Configure the Speech Cognitive Services client.
-
Execute API calls to generate predictions.
-
Handle and display the prediction results.
Practice building speech recognition applications
Show steps
Gain hands-on experience in building speech recognition applications.
Show steps
-
Create a new speech recognition application.
-
Add speech recognition functionality to an existing application.
-
Deploy a speech recognition application to the cloud.
Attend a workshop on speech recognition
Show steps
Gain in-depth knowledge of speech recognition through a dedicated workshop.
Show steps
-
Research and find a workshop on speech recognition.
-
Register for the workshop and attend all sessions.
-
Take notes and ask questions during the workshop.
Follow tutorials on advanced speech recognition techniques
Show steps
Enhance understanding of speech recognition by exploring advanced techniques.
Browse courses on
Natural Language Processing
Show steps
-
Research different speech recognition algorithms.
-
Implement a speech recognition algorithm in a programming language.
-
Evaluate the performance of a speech recognition algorithm.
Review basic programming concepts before starting the course
Show steps
Refresh basic programming skills to enhance understanding of speech recognition concepts.
Browse courses on
Programming Fundamentals
Show steps
Show steps
Show steps
- Review basic programming syntax and semantics.
- Practice writing simple programs in a programming language.
Review concepts of natural language processing and machine learning before starting the course
Show steps
Strengthen understanding of foundational concepts related to speech recognition.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Read introductory articles and books on natural language processing.
- Review machine learning algorithms and techniques.
Join a study group or online forum dedicated to speech recognition
Show steps
Engage with peers to discuss and learn about speech recognition.
Show steps
Show steps
Show steps
- Find a study group or online forum focused on speech recognition.
- Participate in discussions and ask questions.
- Share knowledge and resources with other members.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Exploring the Azure Portal for Speech Cognitive Services
Show steps
Explore the Azure Portal to become familiar with the interface and locate the Speech Cognitive Services resource.
Show steps
Show steps
Show steps
- Log into the Azure Portal.
- Navigate to the Speech Cognitive Services resource.
- Familiarize yourself with the Speech Cognitive Services settings.
Complete practice exercises on speech recognition
Show steps
Improve understanding of speech recognition by completing practice exercises.
Show steps
Show steps
Show steps
- Identify the different types of speech recognition systems.
- Run and analyze speech recognition results.
- Troubleshoot common speech recognition problems.
Building a C# Console Application Using Visual Studio
Show steps
Create a simple C# console application using Visual Studio to implement speech-to-text functionality.
Show steps
Show steps
Show steps
- Add the necessary references.
- Write the C# code to implement speech-to-text.
- Open Visual Studio Community.
- Create a new C# console application.
- Test and debug the application.
API Calls to Generate Speech Predictions
Show steps
Practice executing API calls to the Speech Cognitive Services resource to generate predictions in different languages.
Show steps
Show steps
Show steps
- Create a C# console application.
- Configure the Speech Cognitive Services client.
- Execute API calls to generate predictions.
- Handle and display the prediction results.
Practice building speech recognition applications
Show steps
Gain hands-on experience in building speech recognition applications.
Show steps
Show steps
Show steps
- Create a new speech recognition application.
- Add speech recognition functionality to an existing application.
- Deploy a speech recognition application to the cloud.
Attend a workshop on speech recognition
Show steps
Gain in-depth knowledge of speech recognition through a dedicated workshop.
Show steps
Show steps
Show steps
- Research and find a workshop on speech recognition.
- Register for the workshop and attend all sessions.
- Take notes and ask questions during the workshop.
Follow tutorials on advanced speech recognition techniques
Show steps
Enhance understanding of speech recognition by exploring advanced techniques.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Research different speech recognition algorithms.
- Implement a speech recognition algorithm in a programming language.
- Evaluate the performance of a speech recognition algorithm.
Career center
Learners who complete Build automated speech systems with Azure Cognitive Services will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. They use their knowledge of machine learning algorithms and techniques to solve real-world problems. This course can help you build a foundation in machine learning and prepare you for a career as a Machine Learning Engineer. You will learn how to create and train machine learning models, and how to use them to make predictions.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and data mining to extract insights from data. They use these insights to make informed decisions and solve problems. This course can help you build a foundation in data science and prepare you for a career as a Data Scientist. You will learn how to collect, clean, and analyze data, and how to use machine learning techniques to extract insights from data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course can help you build a foundation in software engineering and prepare you for a career as a Software Engineer. You will learn how to design, develop, and test software applications.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to make informed decisions and solve problems. This course can help you build a foundation in data analysis and prepare you for a career as a Data Analyst. You will learn how to collect, clean, and analyze data, and how to use data visualization tools to present your findings.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business processes and data to identify opportunities for improvement. They work with stakeholders to define requirements and develop solutions. This course can help you build a foundation in business analysis and prepare you for a career as a Business Analyst. You will learn how to identify business problems, gather requirements, and develop solutions.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with cross-functional teams to define product requirements, develop product roadmaps, and launch new products. This course can help you build a foundation in product management and prepare you for a career as a Product Manager. You will learn how to define product requirements, develop product roadmaps, and launch new products.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define project scope, develop project plans, and manage project resources. This course can help you build a foundation in project management and prepare you for a career as a Project Manager. You will learn how to plan, execute, and close projects.
Information Technology Specialist
Information Technology Specialist
Information Technology Specialists provide technical support to users and maintain computer systems. They troubleshoot problems, install software, and provide training to users. This course can help you build a foundation in information technology and prepare you for a career as an Information Technology Specialist. You will learn how to troubleshoot problems, install software, and provide training to users.
Computer Programmer
Computer Programmer
Computer Programmers write, test, and maintain computer programs. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course can help you build a foundation in computer programming and prepare you for a career as a Computer Programmer. You will learn how to write, test, and maintain computer programs.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. They work with users to define database requirements, develop database schemas, and manage database performance. This course can help you build a foundation in database administration and prepare you for a career as a Database Administrator. You will learn how to design, implement, and maintain databases.
Network Administrator
Network Administrator
Network Administrators design, implement, and maintain computer networks. They work with users to define network requirements, develop network topologies, and manage network performance. This course can help you build a foundation in network administration and prepare you for a career as a Network Administrator. You will learn how to design, implement, and maintain computer networks.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. They use their knowledge of web development tools and techniques to create websites that meet the needs of users. This course can help you build a foundation in web development and prepare you for a career as a Web Developer. You will learn how to design, develop, and maintain websites.
Graphic designer
Graphic designer
Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course may help you build a foundation in graphic design and prepare you for a career as a Graphic Designer. You will learn how to create visual concepts that communicate ideas.
Technical Writer
Technical Writer
Technical Writers create user manuals, instructional materials, and other documentation to explain technical information. This course may help you build a foundation in technical writing and prepare you for a career as a Technical Writer. You will learn how to create user manuals, instructional materials, and other documentation to explain technical information.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software applications to find and fix defects. They work with developers to ensure that software applications meet the needs of users. This course may help you build a foundation in quality assurance and prepare you for a career as a Quality Assurance Analyst. You will learn how to test software applications to find and fix defects.
For more career information including salaries, visit:
OpenCourser.com/course/wc7xr2/build
Reading list
We've selected six 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
Build automated speech systems with Azure Cognitive Services.
This comprehensive textbook provides a foundational understanding of speech and language processing, covering topics such as natural language understanding, speech recognition, and language generation. It is commonly used in academic institutions and provides a solid background for the concepts explored in the course.
Serves as a practical guide to using the Natural Language Toolkit (NLTK), a popular Python library for natural language processing tasks. It covers essential concepts and techniques, making it valuable for applying the knowledge gained in the course to real-world projects.
Focuses on the machine learning techniques used in speech recognition, providing a deeper understanding of the underlying algorithms and their applications. It valuable resource for those interested in the technical aspects of speech recognition systems.
Delves into the advanced topic of deep learning for natural language processing. It explores the latest research and techniques in this field, providing a glimpse into the future directions of speech and language technologies.
Provides a practical introduction to natural language processing using Python. It covers essential concepts and techniques, making it a valuable resource for those interested in implementing speech-related applications using Python.
Provides an introduction to deep learning for natural language processing and speech recognition. It covers essential concepts and techniques, offering a starting point for those interested in exploring the applications of deep learning in these fields.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wc7xr2/build
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Effort
1.5
Level
Intermediate
Via
Coursera
Institution
Microsoft
Instructor
Catalin Popa
Language
English
Good to know
Taught by experts in AI and Machine Learning at Microsoft Azure, assuring high-quality instruction
Suitable for beginners looking to build a foundation in AI and Machine Learning, with no prior experience required
Provides a comprehensive overview of Speech Cognitive Services, covering both concepts and practical applications
Offers hands-on experience through API calls and C# console application development, fostering practical skills
Aligned with industry best practices, ensuring relevance and applicability in the field
Course completion prepares learners for the Microsoft Azure AI Fundamentals AI-900 Exam, enhancing career prospects
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