eLearnAfrica
Applied Artificial Intelligence: Speech Recognition Systems
CloudSwyft Global Systems, Inc.
  • Start Date: 18 Jan, 2021
  • 3 weeks
  • Study Content: Videos


Developing and understanding Automatic Speech Recognition (ASR) systems using Python.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

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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. You’ll 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, you’ll 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.


You’ll delve into the components of ASR as well as the fundamental theory and background of speech recognition.


Build your own speech recognition system


You’ll 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, you’ll 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.


This course is aimed at anyone with an understanding of data analysis who has created models using machine learning. Individuals who will benefit from this course include:



  • Data Analysts

  • Machine Learning Engineers

  • Deep Learning Engineers

  • Many more professionals involved in the development of AI-based technologies.


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

CloudSwyft Global Systems, Inc.

This university is part of the partnership between eLearnAfrica and FutureLearn.

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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