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Microsoft Azure Cognitive Services

Speech to Text SDK

Jared Rhodes

This course will teach you how to create applications using Cognitive Services: Speech to Text. With it, your applications are more accessible and easier to use with a natural user interface.

Read more

This course will teach you how to create applications using Cognitive Services: Speech to Text. With it, your applications are more accessible and easier to use with a natural user interface.

Creating and integrating advanced artificial intelligence into any application is a monumental task for most developers. In this course, Microsoft Azure Cognitive Services: Speech to Text SDK, you will gain the ability to create applications with Cognitive Services: Speech to Text. First, you will learn how to use the C# SDK. Next, you will discover the extensibility and customization options. Finally, you will explore how to integrate with Azure Functions and batch processing. When you are finished with this course, you will have the skills and knowledge of Cognitive Services: Speech to Text needed to integrate advanced artificial intelligence into any application.

This course is no longer available. Find something similar by browsing:
Microsoft Azure Cognitive Services Speech to Text SDK C# Azure Functions Batch Processing

What's inside

Syllabus

Course Overview
Understanding the Basics of Speech to Text
Using the Speech to Text SDKs
Going Beyond the Basics
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores Cognitive Services: Speech to Text, which is standard in AI development
Taught by Jared Rhodes, who is recognized for their work in AI
Develops advanced artificial intelligence skills, which are core to many industries
Covers the extensibility and customization options of Cognitive Services: Speech to Text
Examines how to integrate with Azure Functions and batch processing, which are highly relevant to AI development

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Practical azure speech to text sdk

According to learners, this course offers a strong foundation for integrating Microsoft Azure Cognitive Services: Speech to Text into applications. Students particularly value the hands-on approach and the practical use of the C# SDK. The course's coverage of extensibility, customization options, and integration with Azure Functions is considered highly relevant for real-world projects. While providing a clear overview of core concepts, some learners might find that deeper exploration of specific advanced scenarios or troubleshooting is desired. Overall, it's a valuable resource for developers seeking to enhance applications with natural user interfaces.
SDKs and APIs evolve rapidly, requiring continuous content updates for relevance.
"I hope the course gets updated regularly, as SDKs and APIs change quite often in Azure, affecting relevance."
"It's crucial for such a course to reflect the latest versions of the SDK to remain relevant to my work."
"I had to sometimes check Microsoft's documentation for the latest syntax changes in the SDK."
Offers valuable insights into integrating Speech to Text with Azure's ecosystem.
"The segment on integrating with Azure Functions was particularly helpful for my project."
"I learned practical ways to leverage Azure's capabilities for batch processing, which is a big plus."
"It showed me how to extend my applications by connecting them to other Azure services effortlessly."
Well-structured content with concepts explained in an easy-to-understand manner.
"The instructor did a great job explaining complex concepts in a digestible and structured manner."
"I felt the course flowed logically, moving from basics to more advanced topics seamlessly."
"The content made it easy for me to grasp the fundamentals of Speech to Text quickly."
Focuses on hands-on application of the C# SDK for real-world use.
"I found the hands-on examples with the C# SDK incredibly useful for practical implementation."
"The course provided clear steps for me to integrate Speech to Text into my applications, making AI accessible."
"I appreciate how the course showed me how to use the SDK effectively for real-world scenarios."
Provides a solid foundation, but advanced users may desire more in-depth content.
"While I got a solid foundation, I wished for more advanced scenarios and troubleshooting tips."
"I felt that some topics, like customization, could have been explored in greater detail for complex needs."
"For someone with prior experience, the course might feel a bit too introductory in some parts."

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 Microsoft Azure Cognitive Services: Speech to Text SDK with these activities:
Review C# Basics
Having a refreshed understanding of C# will help you more easily follow the course content.
Browse courses on C#
Show steps
  • Review C# syntax and data types.
  • Practice writing simple C# programs.
  • Complete online tutorials or exercises on C# basics.
Build a Simple Speech-to-Text Application
Building a simple application will help you apply the concepts you learn in the course and reinforce your understanding.
Show steps
  • Create a new C# project.
  • Add the Cognitive Services Speech SDK to your project.
  • Write code to use the SDK to transcribe speech.
  • Test your application and make any necessary adjustments.
Volunteer at a Local Organization Using Speech-to-Text
Volunteering is a practical way to apply your knowledge and contribute to society.
Show steps
  • Find a local organization that uses Speech-to-Text technology.
  • Contact the organization and inquire about volunteer opportunities.
  • Assist the organization with their Speech-to-Text needs.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Transcribing Speech
Practicing transcription will help you develop proficiency and confidence using the Cognitive Services Speech SDK.
Show steps
  • Find a source of audio or video with speech.
  • Use the Cognitive Services Speech SDK to transcribe the speech.
  • Compare your transcription with the original audio or video.
Explore Advanced Speech-to-Text Features
Exploring advanced features will help you expand your knowledge and learn how to use the Cognitive Services Speech SDK more effectively.
Show steps
  • Review the Cognitive Services Speech SDK documentation.
  • Follow online tutorials or courses on advanced Speech-to-Text features.
  • Experiment with different features in your own projects.
Natural Language Processing with Python
This book provides a comprehensive overview of natural language processing techniques that complement the concepts covered in the course.
View Natural Language Processing with Python:... on Amazon
Show steps
  • Read the book's introduction and first few chapters.
  • Complete the exercises and hands-on projects in the book.
  • Apply the techniques you learn to your own projects.
Contribute to an Open-Source Speech-to-Text Project
Contributing to an open-source project will not only help you learn from others but also make a valuable contribution to the community.
Show steps
  • Find an open-source Speech-to-Text project that interests you.
  • Review the project's documentation and codebase.
  • Identify an area where you can contribute.
  • Make a pull request with your changes.

Career center

Learners who complete Microsoft Azure Cognitive Services: Speech to Text SDK will develop knowledge and skills that may be useful to these careers:
Speech Scientist
Speech Scientists study the production, perception, and processing of speech. They use their knowledge of speech science to develop new technologies and applications that can improve the way we communicate. This course can help Speech Scientists build a foundation in speech-to-text technology, which can be used to develop new speech recognition and synthesis technologies.
See salaries and explore the career path for Speech Scientist
Natural Language Processing Engineer
Natural Language Processing Engineers design, develop, and deploy natural language processing models. They use their knowledge of natural language processing algorithms and data science techniques to create models that can understand and process human language. This course can help Natural Language Processing Engineers build a foundation in speech-to-text technology, which can be used to create natural language processing models that can understand and process spoken language.
See salaries and explore the career path for Natural Language Processing Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They use their knowledge of machine learning algorithms and data science techniques to create models that can learn from data and make predictions. This course can help Machine Learning Engineers build a foundation in speech-to-text technology, which can be used to create machine learning models that can understand and process spoken language.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
Software Engineers design, develop, test, and maintain software systems. They use their knowledge of programming languages and software engineering principles to create software that meets the needs of users. This course can help Software Engineers build a foundation in speech-to-text technology, which can be used to create more accessible and user-friendly software applications.
See salaries and explore the career path for Software Engineer
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They use these insights to solve business problems and make better decisions. This course can help Data Scientists build a foundation in speech-to-text technology, which can be used to analyze audio data and extract valuable insights.
See salaries and explore the career path for Data Scientist
Interaction Designer
Interaction Designers design and develop the interactions between users and software and websites. They use their knowledge of human factors and design principles to create interactions that are natural and intuitive.
See salaries and explore the career path for Interaction Designer
Technical Support Specialist
Technical Support Specialists provide technical support to users of software and websites. They use their knowledge of the software or website to help users troubleshoot problems and find solutions.
See salaries and explore the career path for Technical Support Specialist
Quality Assurance Analyst
Quality Assurance Analysts test software and websites to ensure that they are free of defects. They use their knowledge of testing principles and techniques to identify and report defects.
See salaries and explore the career path for Quality Assurance Analyst
Business Analyst
Business Analysts analyze business processes and requirements to identify opportunities for improvement. They use their knowledge of business analysis principles and techniques to create solutions that meet the needs of the business.
See salaries and explore the career path for Business Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to identify trends and patterns. They use their knowledge of data analysis principles and techniques to create reports and presentations that communicate insights to stakeholders.
See salaries and explore the career path for Data Analyst
User Experience Designer
User Experience Designers design and develop user interfaces for software and websites. They use their knowledge of human factors and design principles to create user interfaces that are easy to use and enjoyable.
See salaries and explore the career path for User Experience Designer
Information Architect
Information Architects design and organize the structure and content of websites and software applications. They use their knowledge of information science and design principles to create information architectures that are easy to navigate and understand.
See salaries and explore the career path for Information Architect
Product Manager
Product Managers are responsible for the development and launch of new products. They use their knowledge of market research and product development to create products that meet the needs of users.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They use their knowledge of project management principles and techniques to ensure that projects are completed on time, within budget, and to the required quality.
See salaries and explore the career path for Project Manager
Technical Writer
Technical Writers create and maintain documentation for software and websites. They use their knowledge of technical writing principles and style guides to create documentation that is clear, concise, and accurate.
See salaries and explore the career path for Technical Writer

Reading list

We've selected five 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 Microsoft Azure Cognitive Services: Speech to Text SDK.
Cover image
Cyberformalism
Save
Provides background knowledge in natural language processing principles and speech recognition technologies, framing the course content in a larger context.
Cyberformalism: Histories of Linguistic Forms in...
Hardcover
$$
Cyberformalism: Histories of Linguistic Forms in...
Kindle Edition
$$
Cover image
Speech and Audio Processing
Save
Provides a comprehensive overview of speech and audio processing techniques, serving as a foundational resource for understanding the underlying principles of Speech to Text.
Speech and Audio Processing: A MATLAB®-based...
Hardcover
$$$$
Speech and Audio Processing: A MATLAB®-based...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
Provides an introduction to natural language processing concepts and techniques, complementing the course's focus on Speech to Text applications.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
(中文) Python Natural Language Processing(Chinese Edition)
Paperback
$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
AI in Language Teaching, Learning, and Assessment
Save
Presents a practical approach to AI for natural language processing, covering various techniques and models used in speech recognition and other NLP applications.
AI in Language Teaching, Learning, and Assessment
Paperback
$$$$
Cover image
Cross-Lingual Word Embeddings
Save
Delves into deep learning techniques used in natural language processing, including speech recognition, offering advanced insights beyond the course's scope.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$

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Course image
Time
79 hours
Level
Introductory
Via
Pluralsight
Instructor
Jared Rhodes
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores Cognitive Services: Speech to Text, which is standard in AI development
Taught by Jared Rhodes, who is recognized for their work in AI
Develops advanced artificial intelligence skills, which are core to many industries
Covers the extensibility and customization options of Cognitive Services: Speech to Text
Examines how to integrate with Azure Functions and batch processing, which are highly relevant to AI development
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