Applied Artificial Intelligence: Speech Recognition Systems
- Offered byFutureLearn
Applied Artificial Intelligence: Speech Recognition Systems at FutureLearn Overview
Applied Artificial Intelligence: Speech Recognition Systems
at FutureLearn
Duration | 3 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Credential | Certificate |
Applied Artificial Intelligence: Speech Recognition Systems at FutureLearn Highlights
Applied Artificial Intelligence: Speech Recognition Systems
at FutureLearn
- Duration 3 weeks
- Weekly study 5 hours
- Included in an ExpertTrack Course 2 of 4
Applied Artificial Intelligence: Speech Recognition Systems at FutureLearn Course details
Applied Artificial Intelligence: Speech Recognition Systems
at FutureLearn
Skills you will learn
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.
Applied Artificial Intelligence: Speech Recognition Systems at FutureLearn Curriculum
Applied Artificial Intelligence: Speech Recognition Systems
at FutureLearn
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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