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
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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
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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
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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.
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