Have a question?
Message sent Close
4.35
36 reviews

Build E-Learning Application with Voice Over Using Python 3

Build a complete Text-to Speech application in Python from scratch using tkinter for Python GUI development.
Instructor
Emenwa Global
6,429 Students enrolled
  • Description
  • Curriculum
  • FAQ
  • Reviews

Are you ready to embark on an exciting journey to master Python and Tkinter by building an interactive E-learning System for kids? This course, “Build E-learning System with Voice Over using Python and Tkinter,” is perfect for beginners who want to learn how to create a fun and educational application from scratch. Your final project will be an interactive tool that helps children learn the alphabet, associate letters with objects, and hear pronunciations for a complete learning experience.

What You Will Learn:

General Overview of E-learning Application Design: Understand the key concepts and design principles behind creating an engaging e-learning system for kids.

Environment Setup: Set up your development environment with Python 3 and Tkinter, ensuring a smooth start to your project.

Creating the Main Display Screen: Build a visually appealing main display screen to serve as the foundation of your application.

Create the Alphabet Buttons: Design interactive buttons for each letter of the alphabet (A-Z) that children can press to learn letters and corresponding objects.

Creating Row 2, Row 3, and Row 4: Organize your interface effectively by adding additional rows for a clean and structured layout.

How to Call the Images: Learn how to integrate images that will display when a letter is pressed, enhancing visual learning.

How to Add the Voice Command: Implement voice commands to pronounce letters and objects, creating an auditory learning experience.

Benefits of Taking This Course:

  1. Hands-On Learning: Gain practical experience by building a complete, interactive e-learning system from start to finish.

  2. Comprehensive Curriculum: The course covers everything from basic environment setup to advanced features like image integration and voice commands.

  3. Interactive and Fun: Develop a tool that is both educational and entertaining for children, helping them learn the alphabet in a fun way.

  4. Career Opportunities: Mastering Python and Tkinter opens up numerous opportunities in software development, particularly in educational technology.

  5. Skill Enhancement: Enhance your programming skills and learn how to create engaging graphical user interfaces.

Why Choose This Course?

  • Beginner-Friendly: This course is designed for beginners, providing clear and concise instructions for each step.

  • Expert Guidance: Learn from experienced instructors with a passion for teaching and a deep understanding of Python and Tkinter.

  • Community Support: Join a community of learners and get support from peers and instructors throughout your learning journey.

  • Flexible Learning: Access course materials anytime, anywhere, and learn at your own pace.

Intended Audience:

  • Beginners in Python: If you’re new to Python and want to build practical applications, this course is perfect for you.

  • Aspiring GUI Developers: Those looking to specialize in GUI development using Tkinter will find this course highly beneficial.

  • Educators and Parents: If you are an educator or parent looking to create interactive educational tools for children, this course will provide you with the necessary skills.

  • Hobbyists and Enthusiasts: Anyone with an interest in software development and e-learning can take this course to build engaging applications.

Embark on your journey to become a proficient Python developer and create impactful e-learning solutions for children with our comprehensive course. Enroll now and start building your E-learning System with Voice Over using Python and Tkinter today!

Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.

Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. Systems differ in the size of the stored speech units; a system that stores phones or diphones provides the largest output range, but may lack clarity. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely “synthetic” voice output.

The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood clearly. An intelligible text-to-speech program allows people with visual impairments or reading disabilities to listen to written words on a home computer. Many computer operating systems have included speech synthesizers since the early 1990s.

A text-to-speech system (or “engine”) is composed of two parts: a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization. The front-end then assigns phonetic transcriptions to each word, and divides and marks the text into prosodic units, like phrases, clauses, and sentences. The process of assigning phonetic transcriptions to words is called text-to-phoneme or grapheme-to-phoneme conversion. Phonetic transcriptions and prosody information together make up the symbolic linguistic representation that is output by the front-end. The back-end—often referred to as the synthesizer—then converts the symbolic linguistic representation into sound. In certain systems, this part includes the computation of the target prosody (pitch contour, phoneme durations), which is then imposed on the output speech.

Text-To-Speech Application System With TKinter & Python 3 teaches you the complete application of Python technology in the real life instance of speech synthesis. You will be able to implement the text to speech process from scratch following python programming principles.

Some Fundamentals of text-to-speech application system that were covered in this course are as follows:

  • Python GUI design

  • How to use voice command in python

  • You will know about Engine

  • How to use the entry box

  • How to create buttons

  • How to build a full text-to-speech alphabet application in python

Emenwa Global instructors are industry experts with years of practical, real-world experience building software at industry leading companies. They are sharing everything they know to teach thousands of students around the world, just like you, the most in-demand technical and non-technical skills (which are commonly overlooked) in the most efficient way so that you can take control of your life and unlock endless exciting new career opportunities in the world of technology, no matter your background or experience.

How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.35
36 reviews
Stars 5
13
Stars 4
10
Stars 3
9
Stars 2
1
Stars 1
3
73373
Course details
Video 1 hours
Lectures 2
Certificate of Completion

External Links May Contain Affiliate Links read more

Join our Telegram Channel To Get Latest Notification & Course Updates!
Join Our Telegram For FREE Courses & Canva PremiumJOIN NOW