Applied Artificial Intelligence: Speech Recognition Systems

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Course Features

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Duration

3 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

This course is part of the Advanced and Applied AI in Microsoft Azure Expert Track, designed to develop AI and machine learning skills and prepare students for Microsoft microcredentials. The course focuses on Automatic Speech Recognition (ASR) and its components. Students will learn how sounds are captured by sensors and converted into numerical data, as well as how ASR systems convert this data into textual representations of spoken words. The course covers both the theory and practical aspects of speech recognition, including identifying and fixing design problems. Through hands-on exercises, students will build different function blocks of a speech recognition system using Python code. By the end of the course, they will be able to create a speech recognition system from scratch, which can be a valuable tool for data science activities. The course is accredited by Microsoft.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Fundamentals of Speech Recognition

Basic Signal Processing for Speech Recognition

Acoustic Modelling and Labeling

Common Algorithms for Language Modelling

Decoding Acoustic Features into Speech

Target Students

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.

Course Accreditations

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