What programming languages and tools are used in this course?

You’ll primarily use Python with libraries and machine learning frameworks for computer vision and speech tasks.

Do I need prior experience in AI or machine learning?

No prior AI or ML experience is required. Basic programming skills in Python are recommended to follow along effectively.

What career opportunities can AI skills in vision and speech open up?

These skills prepare you for roles in AI engineering, computer vision development, speech technology, and data science.

Will I earn a certificate after completing the course?

Yes, you’ll receive a Coursera certificate that validates your AI skills and can be showcased on LinkedIn or to employers.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI Applications: Computer Vision and Speech Recognition

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AI Applications: Computer Vision and Speech Recognition

Dieser Kurs ist Teil von Spezialisierung „Mastering AI: Neural Nets, Vision System, Speech Recognition“

Dozent: Edureka

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4 Module

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4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Digital Signal Processing
Kategorie: Applied Machine Learning
Kategorie: Computer Vision

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In diesem Kurs gibt es 4 Module

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.

Das ist alles enthalten

32 Videos5 Lektüren5 Aufgaben2 Diskussionsthemen

32 Videos Insgesamt 166 Minuten

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

5 Lektüren Insgesamt 40 Minuten

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

5 Aufgaben Insgesamt 54 Minuten

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

2 Diskussionsthemen Insgesamt 20 Minuten

Introduce Yourself 10 Minuten
Simplifying OpenCV Environment Setup 10 Minuten

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.

Das ist alles enthalten

28 Videos2 Lektüren3 Aufgaben1 Diskussionsthema

28 Videos Insgesamt 137 Minuten

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

2 Lektüren Insgesamt 20 Minuten

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

3 Aufgaben Insgesamt 42 Minuten

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

1 Diskussionsthema Insgesamt 10 Minuten

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

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.

Das ist alles enthalten

27 Videos2 Lektüren3 Aufgaben1 Diskussionsthema

27 Videos Insgesamt 137 Minuten

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

2 Lektüren Insgesamt 20 Minuten

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

3 Aufgaben Insgesamt 42 Minuten

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

1 Diskussionsthema Insgesamt 10 Minuten

The Role of Speech Analysis in Modern AI Applications 10 Minuten

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.

Das ist alles enthalten

1 Video1 Lektüre1 Aufgabe1 Diskussionsthema

1 Video Insgesamt 4 Minuten

Summary for AI Applications: Computer Vision and Speech Recognition 4 Minuten

1 Lektüre Insgesamt 10 Minuten

Practice Project - Vehicle Tracking and Detection 10 Minuten

1 Aufgabe Insgesamt 30 Minuten

Knowledge Check : AI Applications: Computer Vision and Speech Recognition 30 Minuten

1 Diskussionsthema Insgesamt 10 Minuten

Describe Your Learning Journey 10 Minuten

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Dozent

Edureka

159 Kurse 148.161 Lernende

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Häufig gestellte Fragen

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.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.