AI Applications: Computer Vision and Speech Recognition

This course is part of Mastering AI: Neural Nets, Vision System, Speech Recognition Specialization

Instructor: Edureka

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.
  • Skills you'll gain

  •   Deep Learning
  •   Data Processing
  •   Visualization (Computer Graphics)
  •   Artificial Intelligence
  •   Image Analysis
  •   Natural Language Processing
  •   Python Programming
  •   Computer Vision
  • There are 4 modules in this course

    By the end of this course, you’ll 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.

    Video Processing using OpenCV

    Speech Recognition and Audio Analysis

    Course Wrap-Up and Assessment

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