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Developing Automatic Speech Recognition System (ASR) included the knowledge of several areas such as linguistics, computer science, mathematics, and electrical engineering. The [course_title] course is designed to introduce you to the modern concepts of ASR along.

When a person speaks, he produces a time-varying pattern of sounds or waves that are transmitted through the air and captured by a sensor like a microphone and turned into a sequence of numbers representing the pressure change over time. ASR converts the time-pressure signal into a time-frequency-energy signal. The course teaches you how to do all these for creating an ASR system.

After completing the course, you will be able to build a speech recognition system almost entirely using Python.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: Microsoft

Course Curriculum

Course Introduction
Before Your Start 00:03:00
Welcome 00:02:00
Background and Fundamental Theory
Module 1: Introduction 00:02:00
Module 1: Lab Introduction 00:01:00
Speech Signal Processing
Module 2: Introduction 00:02:00
Module 2: Lab Introduction 00:01:00
Acoustic Modeling
Module 3: Introduction 00:03:00
Module 3: Lab Introduction 00:02:00
Language Modeling
Module 4: Introduction 00:04:00
Module 4: Lab Introduction 00:03:00
Speech Decoding
Module 5: Introduction 00:03:00
Module 5: Lab Introduction 00:04:00
Advanced Acoustic Modeling Techniques
Module 6: Introduction 00:04:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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