CONTENT
1. Title
2. Introduction
3. Motivation
4. Problem Statement
5. Objective of the Project
6. Requirement Specification
a) Hardware Requirement
b) Software/ Technology Requirement
7. Methodology/Technique
8. Flow Chart
9. List of Modules/Functionalities
10. Project Application
11. Project Limitation
12. References
Real-Time Voice Translator Using Python
Introduction
The Real-Time Voice Translator is a Python-based application
designed to break language barriers by providing real-time voice
translation. It captures spoken input, converts it to text, translates
it into a target language, and delivers the translated speech
output. This project combines advanced speech recognition,
language translation, and text-to-speech synthesis technologies,
all integrated into a user-friendly graphical interface.
Motivation
Effective communication across different languages is a challenge
in an increasingly interconnected world. This project addresses
this challenge by creating a tool that facilitates seamless
multilingual communication, making it beneficial for travelers,
professionals, and learners.
Problem Statement
Language barriers often hinder effective communication, leading
to misunderstandings and lost opportunities. Existing translation
tools are either not real-time, lack intuitive interfaces, or are
overly dependent on internet connectivity. This project aims to
develop a solution that is efficient, user-friendly, and capable of
real-time translations with minimal latency.
Objective of the Project
To design and implement a real-time voice translator application
that:
• Captures and processes voice input efficiently.
• Translates spoken text into a target language with high
accuracy.
• Provides audible output for the translated text.
• Offers a simple and interactive GUI for users to select
languages and control the process.
Requirement Specification
Hardware Requirements:
• Microphone and speakers for audio input and ouput.
• Minimum 4GB RAM.
• Multi-core processor (e.g., Intel i5 or equivalent).
Operating System:
Windows, macOS, or Linux.
Software/Technology Requirements
• Python 3.8 or higher.
• Required libraries: gTTS, SpeechRecognition,
GoogleTranslator, playsound, tkinter, threading.
METHODOLOGY
Speech Input: Capturing voice input using a microphone.
Speech Recognition: Converting spoken input into text using
the SpeechRecognition library.
Transliteration: Optional transliteration of input text for
better language processing.
Translation: Using the GoogleTranslator library for real-time
language translation.
Text-to-Speech: Converting the translated text to audible
speech using gTTS.
GUI Integration: Providing an intuitive interface using Tkinter
for language selection and user interaction.
Multithreading: Ensuring real-time responsiveness and
efficient CPU usage during translation.
Working Flow of Project:
VOICE INPUT SPEECH TO TEXT
(pyaudio) (speech_recognition)
TRANSLATE TEXT TRANSLITERATION
(GoogleTranslator) (Google.translateration)
TEXT TO SPEECH VOICE OUTPUT
(gTTS) (playsound)
REFERENCES:
Python official documentation:
https://docs.python.org
gTTS library: https://pypi.org/project/gTTS/
SpeechRecognition library:
https://pypi.org/project/SpeechRecognition/
GoogleTranslator library:
https://pypi.org/project/deep-translator/
Tkinter documentation:
https://docs.python.org/3/library/tkinter.html
DEPARTMENT OF COMPUTER SCIENCE &
ENGINEERING
PROJECT GUIDE SIGNATURE
PROJECT INCHARGE
HEAD OF DEPARTMENT
SUBMITTED BY
TEAM MEMBERS NAME
1. SHUBHAM KUMAR YADAV
2. ANUJ DWIVEDI
3. SUYOG VERMA
4. SANAT DUBEY
