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Applied Artificial Intelligence: Speech Recognition Systems 

  • Offered byFutureLearn

Applied Artificial Intelligence: Speech Recognition Systems
 at 
FutureLearn 
Overview

Duration

3 weeks

Total fee

900

Mode of learning

Online

Credential

Certificate

Applied Artificial Intelligence: Speech Recognition Systems
 at 
FutureLearn 
Highlights

  • Duration 3 weeks
  • Weekly study 5 hours
  • Included in an ExpertTrack Course 2 of 4
Details Icon

Applied Artificial Intelligence: Speech Recognition Systems
 at 
FutureLearn 
Course details

More about this course
  • 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.
  • 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.
  • 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.
Read more

Applied Artificial Intelligence: Speech Recognition Systems
 at 
FutureLearn 
Curriculum

Course Introduction

About this Course

Introduction to Fundamental Theory

CloudSwyft Hands-On Lab 1

Speech Signal Processing

CloudSwyft Hands-On Lab 2

Wrapping Up the Week

Acoustic and Language Modeling

Acoustic Modelling

Deep Neural Network Acoustic Models

CloudSwyft Hands-On Lab 3

Language Modelling

Language Model Evaluation and Operations

Wrapping up the week

Speech Decoding and Advanced Acoustic Modeling Techniques

Week 3 Welcome and CloudSwyft Hands-On Lab 4

Speech Decoding

WFST, Acceptors and Graph Composition

CloudSwyft Hands-On Lab 5

Advanced Acoustic Modeling Techniques

Improved Objective Functions

Course Completion

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Applied Artificial Intelligence: Speech Recognition Systems
 at 
FutureLearn 

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