This course provides an introduction to Automatic Speech Recognition (ASR) and how it works. It explains the difference between acoustic and language models, and the right term to use between 'phones' and 'phonemes'. Led by Lenka Weingartová, a Linguist at NEWTON Technologies, and edited by Kateřina Morozová, Customer Support, this course is an ideal starting point for anyone interested in learning more about ASR. With music from www.bensound.com, this course is sure to be an enjoyable and informative experience. Click now to get started!
Using the Speech Recognition and Synthesis NET APIs
4.5
Pluralsight0 learners
Learn More
This course introduces developers to the Speech Recognition and Synthesis APIs provided by the NET framework. It will guide developers through the concepts of recognition and synthesis, and how to implement them in C# using a simple WPF application. XML standards such as Speech Recognition Grammar Specification (SRGS) and Speech Synthesis Markup Language (SSML) will also be covered in-depth. With this course, developers can bring new accessibility experiences to their NET applications. Click now to learn more!
GUI Development & Speech Recognition with Python Masterclass
4.3
Udemy273 learners
Learn More
This course is perfect for anyone looking to start a career in Graphical User Interface (GUI) and Voice User Interface (VUI) development. It covers topics such as CLI (Command Line Interface), Tkinter Library use for GUI development, Speech Recognition, Voice User Interface (VUI), Text to Speech, Speech to Text, and a project of GUI and VUI. With this comprehensive course, you will gain the skills and knowledge needed to create powerful and interactive GUI and VUI applications.
Applied Artificial Intelligence: Speech Recognition Systems
2.5
Futurelearn23 learners
Learn More
This Applied Artificial Intelligence: Speech Recognition Systems course is designed to help you develop AI and machine learning skills and prepare you for the relevant Microsoft microcredentials. You will learn the fundamentals of the components of a modern Automatic Speech Recognition (ASR) system and build your own speech recognition system almost entirely out of Python code. You will understand how sounds are captured by a sensor, turned into a sequence of numbers, and how an ASR system converts this into a textural representation of what was said. This course is ideal for data analysts, machine learning engineers, deep learning engineers, and many more professionals involved in the development of AI-based technologies.
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.
2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.
3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.
4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.
5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.
6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.
7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.
