Speech Recognition Systems – Online Course

Developing and understanding Automatic Speech Recognition ASR systems using Python This course is part of the Advanced and Applied AI on Microsoft Azure ExpertTrack helping you develop AI and machine learning skills and prepare you for the relevant Microsoft microcredentials This course will teach you the fundamentals of the components of a modern Automatic Speech Recognition ASR system Youll then put this knowledge into practice by building your own speech recognition system almost entirely out of Python code a powerful tool used across AI and data science practices Delve into Automatic Speech Recognition When a human speaks a word they cause their voice to make time-varying patterns of sounds and waves of pressure that spread through the air During this course youll understand how these sounds are captured by a sensor turned into a sequence of numbers and how an automatic speech recognition system converts this into a textural representation of what was said Youll delve into the components of ASR as well as the fundamental theory and background of speech recognition Build your own speech recognition system Youll identify the different models and problems when designing Speech Recognition Systems as you build your own This hands-on approach will help you identify the different components of speech decoding and demonstrate your knowledge and understanding of techniques such as Advanced Acoustic Modelling During each lab youll build a different functioning block of the system and by the end of the course you will have built a speech recognition system almost entirely out of Python code a powerful tool that you can use across your data science practices Understand the fundamental theory of Speech Recognition Be able to demonstrate an understanding of the background of Speech Recognition Identify the different models and problems when designing Speech Recognition Systems Demonstrate knowledge of Deep Neural Network Acoustic Models Understand the vocabulary in Language Modelling Identify the different components of Speech Decoding Demonstrate an understanding of the techniques of Advanced Acoustic Modelling Fundamentals of Speech Recognition Basic Signal Processing for Speech Recognition Acoustic Modelling and Labeling Common Algorithms for Language Modelling Decoding Acoustic Features into Speech