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.
Conversion of ADC (Analog to Digital Converter) to DAC (Digital to Analog Converter)
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Skills You'll Learn
Deep Learning, Natural Language Processing, Data Processing, Computer Vision, Visualization (Computer Graphics), Image Analysis, Python Programming, Artificial Intelligence
From the lesson
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.
Taught By
Edureka