Welcome to AI Applications: Computer Vision and Speech Recognition, where you'll acquire hands-on expertise in leveraging cutting-edge technologies to process visual data and interpret human speech. This course empowers you with the practical skills needed to solve real-world challenges in computer vision and speech analysis.
AI Applications: Computer Vision and Speech Recognition
AI Applications: Computer Vision and Speech Recognition
This course is part of Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization
Instructor: Edureka
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Analyze speech waveforms and apply audio signal processing techniques.
Develop and implement computer vision algorithms using OpenCV.
Perform morphological operations on images and videos for data manipulation.
Apply speech recognition techniques for digitizing and analyzing audio signals.
Details to know
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Recently updated!
February 2025
Assessments
12 assignments
Taught in English
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This course is part of the Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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.
What's included
32 videos5 readings5 assignments2 discussion prompts
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.
What's included
28 videos2 readings3 assignments1 discussion prompt
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.
What's included
27 videos2 readings3 assignments1 discussion prompt
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.
What's included
1 video1 reading1 assignment1 discussion prompt
Recommended if you're interested in Machine Learning
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Frequently asked questions
A basic understanding of Python programming and machine learning concepts is recommended.
Yes, you'll need to set up Python, OpenCV, and other relevant libraries for image, video, and speech processing.
While the course is beginner-friendly, prior Python knowledge and basic understanding of machine learning concepts will enhance your learning experience.