AI Applications: Computer Vision and Speech Recognition

Overview

Welcome to AI Applications: Computer Vision and Speech Recognition, where you will gain hands-on expertise in using cutting-edge technologies to process visual data and interpret human speech. This course equips you with practical skills to address real-world challenges in computer vision and speech analysis. By the end of this course, you will be able to: - Analyze speech waveforms using advanced audio signal processing techniques. - Develop a strong understanding of computer vision principles and applications. - Perform morphological operations on images and videos within a customized environment. - Implement advanced audio and video processing techniques. - Apply OpenCV functionalities to build robust solutions for image and video analysis. This course is ideal for AI enthusiasts, data scientists, and developers aiming to expand their skills in computer vision and speech recognition. Prior experience with Python programming and a basic understanding of machine learning concepts is recommended for optimal learning. Master the skills required to build intelligent systems in the evolving field of artificial intelligence with this focused course.

Syllabus

Computer Vision with OpenCV

This module is designed to help learners understand the history of AI and how its ongoing development has led to the creation of image and video processing tools like OpenCV. Learn to perform various image processing such as morphological operations.

Video Processing using OpenCV

In the second module of this course, you'll delve deeper into OpenCV functionalities for video preprocessing. You'll learn how to play videos using OpenCV, extract and combine frames, and demonstrate the use of Haar cascades and their integration with OpenCV.

Speech Recognition and Audio Analysis

In the third module of this course, you will learn the fundamental structure of speech and how it is organized. Process speech by analyzing waveforms and applying various techniques to manipulate them effectively.

Course Wrap-Up and Assessment

This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Computer Vision and OpenCV.