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Using the Speech Recognition and Synthesis .NET APIs
Tony Thorsen
Tony Thorsen
This is an introductory course on how to utilize the speech recognition and synthesis APIs in the .NET framework.
Read more
This is an introductory course on how to utilize the speech recognition and synthesis APIs in the .NET framework.
Read more
This is an introductory course on how to utilize the speech recognition and synthesis APIs in the .NET framework.
This course introduces the Speech Recognition and Synthesis APIs provided by the .NET framework, which will allow developers to bring new accessibility experiences to their .NET applications. This course will guide developers from getting started with the recognition and synthesis concepts to actually implementing them in C# using a simple WPF application. XML standards, such as Speech Recognition Grammar Specification (SRGS) and Speech Synthesis Markup Language (SSML), will be covered in-depth, as well.
Register for this course and see more details by visiting:
OpenCourser.com/course/y8lf74/using
What's inside
Syllabus
Course Overview
Introduction
Using the Speech Recognition API
Building and Using Speech Recognition Grammars
Read more
Syllabus
Course Overview
Introduction
Using the Speech Recognition API
Building and Using Speech Recognition Grammars
Read more
Using the Speech Synthesis API
Customizing the Synthesized Voice
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Guides learners from beginner to advanced concepts
Introduces accessibility experience in .NET applications
Leverages industry standard XML like SRGS and SSML
Focuses on practical implementation using a WPF application
Provides hands-on experience with speech recognition and synthesis APIs
Taught by industry experts, ensuring up-to-date knowledge
Save this course
Save Using the Speech Recognition and Synthesis .NET APIs 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 Using the Speech Recognition and Synthesis .NET APIs with these
activities:
Review C# Programming Basics
Show steps
Refresh your knowledge of C# programming fundamentals to ensure a solid foundation for implementing speech recognition and synthesis.
Browse courses on
C# Programming
Show steps
-
Review online tutorials or documentation on C# basics.
-
Practice writing simple C# programs.
-
Create a small C# project to demonstrate your understanding.
Join a Study Group or Discussion Forum
Show steps
Engage with fellow learners to clarify concepts, exchange ideas, and reinforce your understanding.
Show steps
-
Search for online study groups or discussion forums related to the course topic.
-
Join the group or forum and actively participate in discussions.
-
Ask questions, share insights, and collaborate on projects.
Build and Test Speech Recognition Grammars
Show steps
Create and modify speech recognition grammars using SRGS to improve the accuracy and efficiency of speech recognition.
Show steps
-
Create a new C# project.
-
Add the necessary namespaces for speech recognition.
-
Define a grammar using SRGS.
-
Load the grammar into a speech recognizer.
-
Test the speech recognizer using different utterances.
One other activity
Expand to see all activities and additional details
Show all four activities
Create a Demo Application Using Speech APIs
Show steps
Develop a practical application that incorporates both speech recognition and speech synthesis, solidifying your understanding of their usage.
Browse courses on
Speech Recognition
Show steps
-
Design the application's functionality and user interface.
-
Implement speech recognition using the C# APIs.
-
Integrate speech synthesis to provide feedback to the user.
-
Test and refine the application.
-
Share the application with others.
Review C# Programming Basics
Show steps
Refresh your knowledge of C# programming fundamentals to ensure a solid foundation for implementing speech recognition and synthesis.
Browse courses on
C# Programming
Show steps
Show steps
Show steps
- Review online tutorials or documentation on C# basics.
- Practice writing simple C# programs.
- Create a small C# project to demonstrate your understanding.
Join a Study Group or Discussion Forum
Show steps
Engage with fellow learners to clarify concepts, exchange ideas, and reinforce your understanding.
Show steps
Show steps
Show steps
- Search for online study groups or discussion forums related to the course topic.
- Join the group or forum and actively participate in discussions.
- Ask questions, share insights, and collaborate on projects.
Build and Test Speech Recognition Grammars
Show steps
Create and modify speech recognition grammars using SRGS to improve the accuracy and efficiency of speech recognition.
Show steps
Show steps
Show steps
- Create a new C# project.
- Add the necessary namespaces for speech recognition.
- Define a grammar using SRGS.
- Load the grammar into a speech recognizer.
- Test the speech recognizer using different utterances.
One other activity
Expand to see all activities and additional details
Show all four activities
Create a Demo Application Using Speech APIs
Show steps
Develop a practical application that incorporates both speech recognition and speech synthesis, solidifying your understanding of their usage.
Browse courses on
Speech Recognition
Show steps
Show steps
Show steps
- Design the application's functionality and user interface.
- Implement speech recognition using the C# APIs.
- Integrate speech synthesis to provide feedback to the user.
- Test and refine the application.
- Share the application with others.
Career center
Learners who complete Using the Speech Recognition and Synthesis .NET APIs will develop knowledge and skills
that may be useful to these careers:
Speech Interface Engineer
Speech Interface Engineer
A Speech Interface Engineer works with speech and audio technologies to improve systems. They design, create, and maintain systems that convert speech to text, text to speech, or perform other speech-related tasks. A Speech Interface Engineer should take this course because it will teach them key programming concepts for speech recognition and synthesis systems.
Speech-Language Pathologist
Speech-Language Pathologist
Speech-Language Pathologists work with people who have speech and language disorders. They diagnose and treat disorders that can affect speech, articulation, voice, or language. Speech-Language Pathologists may also work with people who have difficulty swallowing. This course is a good fit for a Speech-Language Pathologist because it can help them to better understand the speech recognition and synthesis process, which can improve the assessment and treatment of patients.
Software Engineer
Software Engineer
A Software Engineer designs and develops computer software. They may work on a variety of projects, from developing new applications to maintaining existing ones. A Software Engineer should take this course because it will teach them valuable programming concepts for developing speech recognition and synthesis applications.
Data Scientist
Data Scientist
A Data Scientist analyzes data to find patterns and insights. They use their findings to develop solutions to business problems. A Data Scientist should take this course because it will teach them how to analyze speech data, which can be used to improve speech recognition and synthesis systems.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and maintains AI systems. They may work on a variety of projects, from developing new AI algorithms to deploying AI systems to production. An AI Engineer should take this course because it will teach them key programming concepts for developing speech recognition and synthesis systems.
Linguist
Linguist
A Linguist studies language and how it is used. They may work on a variety of projects, from developing new language technologies to teaching language classes. A Linguist should take this course because it will teach them about the structure of spoken language, which can be used to improve speech recognition and synthesis systems.
Technical Writer
Technical Writer
A Technical Writer creates documentation for technical products and services. They may work on a variety of projects, from writing user manuals to developing training materials. A Technical Writer should take this course because it will teach them about the structure of spoken language, which can be used to improve the clarity and accuracy of technical writing.
User Experience Designer
User Experience Designer
A User Experience Designer designs and develops the user interface for products and services. They may work on a variety of projects, from designing websites to developing mobile apps. A User Experience Designer should take this course because it will teach them about the principles of human-computer interaction, which can be used to improve the usability of speech recognition and synthesis systems.
Product Manager
Product Manager
A Product Manager plans and develops new products and services. They may work on a variety of projects, from identifying market opportunities to developing product roadmaps. A Product Manager should take this course because it will teach them about the principles of product development, which can be used to improve the success of speech recognition and synthesis products.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. They may work on a variety of projects, from developing marketing strategies to creating marketing materials. A Marketing Manager should take this course because it will teach them about the principles of marketing, which can be used to promote speech recognition and synthesis products and services.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of sales professionals. They may work on a variety of projects, from developing sales strategies to closing deals. A Sales Manager should take this course because it will teach them about the principles of sales, which can be used to increase sales of speech recognition and synthesis products and services.
Customer Success Manager
Customer Success Manager
A Customer Success Manager helps customers to achieve success with a product or service. They may work on a variety of projects, from onboarding new customers to resolving customer issues. A Customer Success Manager should take this course because it will teach them about the principles of customer success, which can be used to improve the satisfaction of speech recognition and synthesis customers.
Technical Support Specialist
Technical Support Specialist
A Technical Support Specialist provides technical support to customers. They may work on a variety of projects, from answering customer questions to resolving technical issues. A Technical Support Specialist should take this course because it will teach them about the principles of technical support, which can be used to improve the satisfaction of speech recognition and synthesis customers.
Quality Assurance Tester
Quality Assurance Tester
A Quality Assurance Tester tests software to ensure that it meets quality standards. They may work on a variety of projects, from developing test plans to executing tests. A Quality Assurance Tester should take this course because it will teach them about the principles of quality assurance, which can be used to improve the quality of speech recognition and synthesis systems.
For more career information including salaries, visit:
OpenCourser.com/course/y8lf74/using
Reading list
We've selected ten 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
Using the Speech Recognition and Synthesis .NET APIs.
Save
This comprehensive textbook provides a solid foundation in speech and language processing, covering topics such as speech recognition, natural language understanding, and speech synthesis. It is an excellent resource for gaining a deeper understanding of the theoretical underpinnings of the technologies used in this course.
This textbook provides a comprehensive overview of natural language processing, covering topics such as natural language understanding, natural language generation, and machine translation. It good resource for gaining a deep understanding of the field.
This textbook provides a comprehensive introduction to speech and language processing, covering topics such as speech recognition, natural language understanding, and text processing. It good resource for gaining a broad understanding of the field.
This classic textbook provides a comprehensive overview of speech processing, covering topics such as speech recognition, speech synthesis, and speech coding. It valuable resource for gaining a broad understanding of the field.
This practical guide focuses on natural language processing using Python. It covers essential topics such as text preprocessing, feature engineering, and machine learning algorithms for NLP tasks. Reading this book will enhance your ability to apply NLP techniques in your projects.
This comprehensive textbook provides a thorough overview of speech synthesis, covering topics such as text-to-speech conversion, prosody modeling, and voice cloning. It is an excellent resource for gaining a deep understanding of the technologies used in this course.
This handbook provides a comprehensive overview of cognitive linguistics, covering topics such as conceptual metaphor, construction grammar, and usage-based linguistics. It good resource for gaining a deeper understanding of the cognitive processes involved in language use.
Save
This textbook provides a comprehensive overview of speech communication, covering topics such as speech production, speech perception, and speech coding. It good resource for gaining a general understanding of the field.
Save
This textbook provides a cognitive science perspective on natural language understanding, covering topics such as language comprehension, discourse analysis, and computational models of language. It good resource for gaining a deeper understanding of the cognitive processes involved in language processing.
This textbook provides a comprehensive overview of phonetics, covering topics such as articulatory phonetics, acoustic phonetics, and phonological theory. It good resource for gaining a deeper understanding of the production and perception of speech sounds.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y8lf74/using
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Time
196 hours
Level
Introductory
Via
Pluralsight
Instructor
Tony Thorsen
Language
English
Good to know
Guides learners from beginner to advanced concepts
Introduces accessibility experience in .NET applications
Leverages industry standard XML like SRGS and SSML
Focuses on practical implementation using a WPF application
Provides hands-on experience with speech recognition and synthesis APIs
Taught by industry experts, ensuring up-to-date knowledge
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