AI Applications: Computer Vision and Speech Recognition

本课程是 Mastering AI: Neural Nets, Vision System, Speech Recognition 专项课程的一部分

位教师：Edureka

访问权限由 New York State Department of Labor 提供

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

12 项作业

授课语言：英语（English）

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积累特定领域的专业知识

本课程是 Mastering AI: Neural Nets, Vision System, Speech Recognition 专项课程专项课程的一部分

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该课程共有4个模块

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.

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.

涵盖的内容

32个视频5篇阅读材料5个作业2个讨论话题

32个视频总计166分钟

Course Introduction 4分钟
Industrial Breakthrough in Audio and Speech Recognition 2分钟
Speech Recognition Technology 5分钟
Computer Vision Application 5分钟
Computer Vision Applications: Medical and Plant Disease 6分钟
AI Responsibility Pyramid 7分钟
Evolution of Computer Vision and Speech Analysis 5分钟
Evolution of Speech Analysis 5分钟
What is OpenCV? 6分钟
Installing OpenCV on Windows 4分钟
Installing OpenCV on Windows: Handling Libraries in Jupyter 5分钟
Installing Integrated Libraries - NumPy, Matplotlib, SciPy, and Pillow 6分钟
Installing Integrated Libraries - Dlib, Scikit, and Pytorch 5分钟
Operations on OpenCV 3分钟
Demonstration: Loading the Image and Encoding Image to RGB 6分钟
Demonstration: Resizing, Rotating and Flipping the Image 7分钟
Demonstration: Gaussian Blur 7分钟
Demonstration: Edge Detection and Conversion 6分钟
Demonstration: Image Thresholding - Binary Image 5分钟
Demonstration: Different Methods of Thresholding 6分钟
Demonstration: Practical Use Cases 3分钟
What is Adaptive Thresholding 5分钟
Demonstration of Global Adaptive Threshold 5分钟
Demonstration: Implementing Adaptive Thresholding Methods 7分钟
Morphological Operations 5分钟
Morphological Operations in OpenCV 4分钟
Demonstration: Opening (Dilation and Erosion) 6分钟
Demonstration: Closing and Morphological Gradient 6分钟
Blackhat and Whitehat Transformations 5分钟
Demonstration: Whitehat/Tophat 4分钟
Demonstration: Blackhat 6分钟
Summary of Computer Vision with OpenCV 7分钟

5篇阅读材料总计40分钟

Welcome to AI Applications: Computer Vision and Speech Recognition 10分钟
Exploring Technologies for Computer Vision 10分钟
Ethical Considerations in Computer Vision 10分钟
LBPH Algorithm: Local Binary Patterns Histogram 5分钟
Watershed Algorithm for Image Processing 5分钟

5个作业总计54分钟

Knowledge Check : Computer Vision with OpenCV 30分钟
Practice Quiz : Evolution of AI and Computer Vision 6分钟
Practice Quiz : Setting Up Environment 6分钟
Practice Quiz : Image Processing 6分钟
Practice Quiz : Morphological Operations 6分钟

2个讨论话题总计20分钟

Introduce Yourself 10分钟
Simplifying OpenCV Environment Setup 10分钟

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.

涵盖的内容

28个视频2篇阅读材料3个作业1个讨论话题

28个视频总计137分钟

Video Processing 3分钟
Demonstration: Implementing Frame by Frame Video Processing 4分钟
Demonstration: Exiting the Processing Operation 3分钟
Demonstration: Initializing the Video Frames 6分钟
Demonstration: Saving the Frames 7分钟
Demonstration: Loading the Data 5分钟
Demonstration: Reading and Writing Operations 6分钟
Demonstration: Histogram Matching 7分钟
Demonstration: Matching Source and Reference Images 5分钟
Demonstration: Cumulative Distribution Function 5分钟
Demonstration: Differences in Images 4分钟
Haar Cascade 2分钟
Haar Cascade: Algorithm Overview 6分钟
Haar Cascade Application and Limitation 2分钟
Demonstration: Implementation of Haar Cascade Algorithm 7分钟
Demonstration: Face Detection Code for Static Image 4分钟
Demonstration: Implementing Boundary Box for Face Detection 6分钟
Demonstration: Applying Face Detection on Images 6分钟
Introduction to Face Recognition 6分钟
Demonstration: Setting Up Pre-requisite Libraries and Loading the Image 2分钟
Demonstration: Face Recognition and Detection 5分钟
Demonstration: Facial Landmark Detection with File Loading and Library Setup 5分钟
Demonstration: Adjusting Video details through OpenCV 6分钟
Demonstration: Face Recognition 7分钟
Demonstration: Encoding Facial Landmarks 4分钟
Demonstration: Implementing Facial Landmarks on Images 4分钟
Demonstration: Implementing Facial Landmarks on Videos 5分钟
Summary of Video Processing with OpenCV 6分钟

2篇阅读材料总计20分钟

Marker-Based Augmented Reality (AR) 10分钟
Pros and Cons of OpenCV’s Haar cascade Face Detector 10分钟

3个作业总计42分钟

Knowledge Check : Video Processing with OpenCV 30分钟
Practice Quiz : Video Processing Using OpenCV 6分钟
Practice Quiz : Exploring Various Techniques for Face Detection and Recognition 6分钟

1个讨论话题总计10分钟

The Future of Face Recognition and Security: Opportunities and Challenges 10分钟

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.

涵盖的内容

27个视频2篇阅读材料3个作业1个讨论话题

27个视频总计137分钟

Introduction to Speech: Audio Data 4分钟
Introduction to Speech: Human Computer Interaction and Applications 5分钟
Processing Speech 6分钟
Speech Production 7分钟
Difficulties in Analyzing Speech 7分钟
Working of Sound Waves 5分钟
ADC and Sample Rate, Bit Rate 3分钟
Conversion of ADC (Analog to Digital Converter) to DAC (Digital to Analog Converter) 5分钟
Demonstration: Generating Sound 7分钟
Demonstration: Spectrogram 6分钟
Demonstration: Signal Frequencies Over Time 4分钟
Summary of Audio File Analysis 2分钟
Demonstration: Converting a Sound File into Waveform 7分钟
Human Speech 7分钟
Speech Waveform 5分钟
Digital Signal Processing 7分钟
MFCC (Mel Frequency Cepstral Coefficient) 6分钟
Windowing Formula and Cepstrum 5分钟
Demonstration: Computing the Spectrogram 4分钟
Demonstration: Digitizing the Audio Data 5分钟
Demonstration: Converting Fragmented Parts of Audio File for Speech Recognition 4分钟
Voice Onset, Voice Offset, Tremor, and Noise Detection 6分钟
Understanding the Concepts of Voice Onset and Offset 3分钟
Tremor Detection 2分钟
Demonstration: ZCR, Pitch Detection, Voice Activity Detection 5分钟
Demonstration: Tremor Detection 5分钟
Summary of Speech Recognition and Audio Analysis 5分钟

2篇阅读材料总计20分钟

Speech Analysis In Cyber Security 10分钟
Speech Processing - Interactive Creation and Evaluation (SPICE) Toolkit 10分钟

3个作业总计42分钟

Knowledge Check : Speech Recognition and Audio Analysis 30分钟
Practice Quiz : Speech and it's Variation 6分钟
Practice Quiz : Digitizing and Analyzing Speech 6分钟

1个讨论话题总计10分钟

The Role of Speech Analysis in Modern AI Applications 10分钟

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.