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Microsoft Azure Cognitive Services

Speaker Recognition 1 and Bing Speech API

Matthew Kruczek

Move forward with your overall understanding of the Microsoft Cognitive Services Suite with this foundational course on Speaker Recognition and Bing Speech API.

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Move forward with your overall understanding of the Microsoft Cognitive Services Suite with this foundational course on Speaker Recognition and Bing Speech API.

You have all heard the expression: “software is eating the world.” If that is the case, then AI is the hungriest one at the table. In this course, Microsoft Azure Cognitive Services: Speaker Recognition 1 and Bing Speech API, you will learn how to understand, configure, and utilize the Speaker Recognition and Bing Speech API. First, you will explore what kind of data it accepts and sends. Next, you will discover how to utilize C# to interact with it. Finally, you will dive into the many features that it offers. When you are finished with this course, you will have a foundational knowledge of the Speaker Recognition API and the Big Speech API, which will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite.

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What's inside

Syllabus

Course Overview
Understand the Basics of Speech APIs
Recognizing a User’s Speech Pattern
Speech to Text and Back Again
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops knowledge and foundational skills for using Speaker Recognition and Bing Speech API, which are key aspects of Microsoft Cognitive Services
Taught by Matthew Kruczek, who is an experienced instructor in this field
Provides a strong introduction to the Microsoft Cognitive Services suite
Covers essential concepts such as recognizing speech patterns and converting speech to text
Suitable for beginners seeking a foundation in speech APIs
Utilizes interactive labs and hands-on materials for practical learning

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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 Microsoft Azure Cognitive Services: Speaker Recognition 1 and Bing Speech API with these activities:
Review Fundamental Concepts of Speech Recognition and API Integration
Solidify your understanding of the underlying principles and techniques used in speech recognition and API integration.
Browse courses on Speech Recognition
Show steps
  • Revisit course materials and notes on speech recognition and API integration
  • Complete short quizzes or practice exercises to test your knowledge
Compile a Resource List on Speaker Recognition and Bing Speech API
Enhance your knowledge base and stay updated with the latest developments in speech recognition.
Show steps
  • Gather resources from various sources, such as online articles, tutorials, and documentation
  • Organize the resources into categories based on topics or themes
  • Share the compilation with fellow students or the online community
Enhance Your Speech Recognition Skills through Guided Exercises
Strengthen your understanding and proficiency in using the Speech Recognition API and Bing Speech API.
Browse courses on Speech Recognition
Show steps
  • Complete the hands-on exercises provided in the course
  • Utilize online resources and tutorials to practice speech recognition tasks
  • Participate in online communities or forums to engage with others
Four other activities
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Show all seven activities
Build a Speech Recognition Application using Speaker Recognition API
Gain hands-on experience understanding and utilizing the Speaker Recognition API.
Show steps
  • Understand the concepts of Speaker Recognition and Bing Speech API
  • Set up the necessary components and environment for the application
  • Integrate the Speaker Recognition API and Bing Speech API into the application
  • Implement speech recognition and speaker identification features
  • Test and refine the application's functionality
Attend a Workshop on Speaker Recognition and Bing Speech API
Gain insights and practical experience from experts and industry professionals in the field of speech recognition.
Show steps
  • Identify and register for a relevant workshop
  • Attend the workshop and actively participate in hands-on exercises
  • Follow up with the workshop organizers or attendees to connect
Explore Advanced Techniques with Microsoft Cognitive Services Tutorials
Expand your knowledge and skills in utilizing advanced features of Microsoft Cognitive Services for speech recognition.
Browse courses on Cognitive Services
Show steps
  • Follow recommended tutorials from Microsoft or online resources
  • Implement advanced features such as language detection or sentiment analysis
  • Experiment with different scenarios and applications
Participate in a Speech Recognition Challenge
Apply your skills and knowledge in a competitive environment to enhance your understanding and problem-solving abilities.
Browse courses on Speech Recognition
Show steps
  • Find and register for a relevant speech recognition competition
  • Work on a project that addresses the challenge statement
  • Submit your solution and present it to the judges

Career center

Learners who complete Microsoft Azure Cognitive Services: Speaker Recognition 1 and Bing Speech API will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. They also work with data scientists to identify and prepare data for model training, and develop and implement algorithms to solve specific business problems. This course provides a solid foundation in the concepts and techniques used in machine learning, which are essential for a successful career as a Machine Learning Engineer. The course covers topics such as data preprocessing, feature engineering, model selection, and evaluation, and provides hands-on experience with popular machine learning tools and libraries.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify patterns and trends, and develop models to predict future outcomes. This course provides a strong foundation in the concepts and techniques used in data science, which are essential for a successful career as a Data Scientist. The course covers topics such as data mining, machine learning, and statistical analysis, and provides hands-on experience with popular data science tools and libraries.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and tools to create software that meets the needs of users. This course provides a solid foundation in the concepts and techniques used in software engineering, which are essential for a successful career as a Software Engineer. The course covers topics such as software design, programming, and testing, and provides hands-on experience with popular software development tools and technologies.
See salaries and explore the career path for Software Engineer
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketing teams to create products that meet the needs of users. This course provides a strong foundation in the concepts and techniques used in product management, which are essential for a successful career as a Product Manager. The course covers topics such as product design, development, and marketing, and provides hands-on experience with popular product management tools and techniques.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts help organizations to improve their business processes. They work with stakeholders to identify and analyze business needs, and develop solutions to improve efficiency and effectiveness. This course provides a strong foundation in the concepts and techniques used in business analysis, which are essential for a successful career as a Business Analyst. The course covers topics such as business process modeling, data analysis, and project management, and provides hands-on experience with popular business analysis tools and techniques.
See salaries and explore the career path for Business Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use data to make informed decisions and solve business problems. This course provides a strong foundation in the concepts and techniques used in data analysis, which are essential for a successful career as a Data Analyst. The course covers topics such as data mining, machine learning, and statistical analysis, and provides hands-on experience with popular data analysis tools and techniques.
See salaries and explore the career path for Data Analyst
Statistician
Statisticians collect, analyze, and interpret data to help organizations make informed decisions. They use statistical methods to identify trends and patterns, and develop models to predict future outcomes. This course provides a strong foundation in the concepts and techniques used in statistics, which are essential for a successful career as a Statistician. The course covers topics such as probability, inference, and regression analysis, and provides hands-on experience with popular statistical software.
See salaries and explore the career path for Statistician
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. They work with businesses to improve efficiency and effectiveness, and develop solutions to complex problems. This course provides a strong foundation in the concepts and techniques used in operations research, which are essential for a successful career as an Operations Research Analyst. The course covers topics such as linear programming, optimization, and simulation, and provides hands-on experience with popular operations research software.
See salaries and explore the career path for Operations Research Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations. They analyze financial statements, market trends, and economic data to help investors make informed decisions. This course provides a strong foundation in the concepts and techniques used in financial analysis, which are essential for a successful career as a Financial Analyst. The course covers topics such as financial statement analysis, valuation, and portfolio management, and provides hands-on experience with popular financial analysis tools and techniques.
See salaries and explore the career path for Financial Analyst
Market Research Analyst
Market Research Analysts collect and analyze data on consumer behavior and market trends. They use this data to help businesses understand their customers and develop effective marketing strategies. This course provides a strong foundation in the concepts and techniques used in market research, which are essential for a successful career as a Market Research Analyst. The course covers topics such as survey design, data analysis, and market segmentation, and provides hands-on experience with popular market research tools and techniques.
See salaries and explore the career path for Market Research Analyst
Sales Manager
Sales Managers develop and execute sales strategies to meet business goals. They work with sales teams to identify and target potential customers, and develop and deliver sales presentations. This course provides a strong foundation in the concepts and techniques used in sales management, which are essential for a successful career as a Sales Manager. The course covers topics such as sales planning, forecasting, and team management, and provides hands-on experience with popular sales management tools and techniques.
See salaries and explore the career path for Sales Manager
Marketing Manager
Marketing Managers develop and execute marketing strategies to promote products and services. They work with marketing teams to create and implement marketing campaigns, and track and measure campaign results. This course provides a strong foundation in the concepts and techniques used in marketing management, which are essential for a successful career as a Marketing Manager. The course covers topics such as marketing planning, branding, and digital marketing, and provides hands-on experience with popular marketing management tools and techniques.
See salaries and explore the career path for Marketing Manager
Account Manager
Account Managers manage relationships with existing customers to ensure satisfaction and drive revenue growth. They work with customers to identify their needs and develop solutions to meet those needs. This course provides a strong foundation in the concepts and techniques used in account management, which are essential for a successful career as an Account Manager. The course covers topics such as customer relationship management, sales negotiation, and account planning, and provides hands-on experience with popular account management tools and techniques.
See salaries and explore the career path for Account Manager

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 Microsoft Azure Cognitive Services: Speaker Recognition 1 and Bing Speech API.
Cover image
Automatic Speech Recognition
Save
Provides a comprehensive overview of the fundamentals of automatic speech recognition (ASR), covering deep learning approaches. It is particularly useful for readers seeking a deeper understanding of the theoretical foundations and technical details of ASR.
Automatic Speech Recognition: A Deep Learning...
Hardcover
$$$
Automatic Speech Recognition: A Deep Learning...
Kindle Edition
$$$
Cover image
Speech and Language Processing. An Introduction to...
Save
This classic textbook provides a comprehensive introduction to the field of speech and language processing. It covers a wide range of topics relevant to the course, including speech production and perception, language modeling, and natural language processing.
Speech and Language Processing An Introduction to...
Paperback
$$
Cover image
Natural Language Processing with Python
Save
Provides a practical introduction to natural language processing with Python. It covers a range of topics, including text preprocessing, natural language understanding, and natural language generation.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Deep Learning
Save
Provides an introduction to deep learning for speech and language processing. It covers a range of topics, including acoustic modeling, language modeling, and speech recognition.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Fundamentals of Speech Recognition
Save
Provides a comprehensive overview of the fundamentals of speech recognition. It covers a range of topics, including acoustic modeling, language modeling, and speech recognition algorithms.
Fundamentals of Speech Recognition
Paperback
Check
Fundamentals of Speech Recognition
Kindle Edition
Check
Cover image
Computer Systems: An Embedded Approach
Save
Provides a comprehensive overview of the field of speech and audio processing. It covers a range of topics, including digital signal processing, speech enhancement, and speech recognition.
Computer Systems: An Embedded Approach
Paperback
Check
Computer Systems: An Embedded Approach
Kindle Edition
Check

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Course image
Time
112 hours
Level
Introductory
Via
Pluralsight
Instructor
Matthew Kruczek
Language
English
Good to know
Develops knowledge and foundational skills for using Speaker Recognition and Bing Speech API, which are key aspects of Microsoft Cognitive Services
Taught by Matthew Kruczek, who is an experienced instructor in this field
Provides a strong introduction to the Microsoft Cognitive Services suite
Covers essential concepts such as recognizing speech patterns and converting speech to text
Suitable for beginners seeking a foundation in speech APIs
Utilizes interactive labs and hands-on materials for practical learning
Share and help others discover this course
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