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. By the end of this course, you鈥檒l be able to: - Analyze speech waveforms using various audio signal processing techniques. - Develop a solid understanding of computer vision principles and their applications. - Perform morphological operations on images and videos within a custom-configured environment. - Implement advanced techniques for processing audio and video data. - Apply OpenCV functionalities to build robust solutions for image and video analysis. This course is ideal for AI enthusiasts, data scientists, and developers looking to expand their skills in computer vision and speech analysis. Prior experience with Python programming and a basic understanding of machine learning concepts are recommended to fully benefit from this course. Embark on this educational journey to master the art of computer vision and speech recognition, and elevate your ability to build intelligent systems for the evolving field of artificial intelligence.
Demonstration: Matching Source and Reference Images
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Skills You'll Learn
Morphological Image Operations, Speech Recognition, Image and Video Processing with OpenCV, Computer Vision, Speech Analysis and Processing
From the lesson
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.
Taught By
Edureka