🎤 Text to Speech Configurator
View on GitHubOverview
The Text to Speech Configurator is a Python application that converts text into speech with customizable settings. It features a graphical user interface (GUI) built using Tkinter and utilizes the pyttsx3 library for text-to-speech conversion. This project provides users with the ability to adjust volume, speech rate, and select different voices for a personalized listening experience.
Key Features
📝 Text Input
- Users can input or paste text into the provided text box
- Support for large text blocks and multiple paragraphs
- Easy text editing and modification capabilities
🔊 Volume Control
- Adjust the volume of the speech output using an intuitive slider
- Real-time volume adjustment during speech playback
- Precise volume control from 0% to 100%
⚡ Rate Control
- Set the speech rate in words per minute (wpm) using a slider
- Customizable speed for different reading preferences
- Range from slow to fast speech rates
🎭 Voice Selection
- Choose from available voices installed on the system
- Support for multiple language voices
- Male and female voice options
▶️ Speak Button
- Trigger the text-to-speech conversion with a single click
- Instant speech generation with current settings
- User-friendly interface for easy operation
💾 Settings Persistence
- Remember user preferences for future sessions
- Save and load custom voice configurations
- Consistent user experience across sessions
How It Works
1. Text Input
Users enter or paste their desired text into the application's text input area
2. Voice Configuration
Select preferred voice, adjust volume and speech rate using the control sliders
3. Speech Generation
Click the speak button to convert text to speech using the pyttsx3 engine
4. Audio Output
Listen to the generated speech with the configured voice and settings
5. Real-time Adjustment
Modify settings during playback for immediate feedback and customization
6. Settings Save
Application remembers user preferences for consistent experience
Technology Stack
Core Technologies
Features & Libraries
Installation & Usage
📥 Installation Steps
- Clone the repository from GitHub
- Navigate to the project directory
- Install required dependencies using pip
- Run the application using Python
🔧 Requirements
- Python 3.x (latest version recommended)
- Tkinter library (included with Python)
- pyttsx3 library for text-to-speech
- Audio output device for speech playback
💻 Command Line Usage
- git clone [repository-url]
- cd Text-to-Speech-Configurator
- pip install -r requirements.txt
- python main.py
Code Architecture
The application is built with a clean, modular architecture. The main.py file contains the core application logic, utilizing Tkinter for the GUI framework and pyttsx3 for text-to-speech conversion. The code is structured to separate UI components from speech processing logic, making it maintainable and extensible.
🏗️ GUI Components
Tkinter-based interface with text input, sliders, dropdown menus, and control buttons
🔊 Speech Engine
pyttsx3 engine initialization and voice management for text-to-speech conversion
⚙️ Settings Management
Configuration handling for volume, rate, and voice selection with persistence
Use Cases
📚 Accessibility
Assist users with visual impairments or reading difficulties by converting text to audio
🎓 Learning & Education
Help students learn pronunciation and improve language skills through audio feedback
📖 Content Consumption
Convert articles, documents, and e-books into audio format for hands-free listening
🔧 Development Testing
Test text-to-speech functionality in applications and verify voice quality
Future Enhancements
🌐 Multi-language Support
Add support for multiple languages and regional voice options
💾 File Import/Export
Enable importing text from files and exporting audio to various formats
🎵 Audio Customization
Add pitch control, emphasis, and advanced audio effects
☁️ Cloud Integration
Integrate with cloud-based TTS services for enhanced voice quality