ABSTRACT
The Voice-Based Email Sending System is an intelligent application designed to enable users to compose and send emails using spoken commands, thereby eliminating the need for manual typing and enhancing accessibility. The system integrates speech recognition, text-to-speech synthesis, and automated email transmission to provide a seamless hands-free communication experience. User voice input is captured through a microphone and processed using a speech recognition engine to convert spoken language into textual data. Special attention is given to interpreting spoken email addresses by converting verbal expressions such as “at,” “dot,” and number words into valid email symbols and digits. The processed text undergoes cleaning and validation to ensure correctness and prevent invalid email formats. Text-to-speech feedback is continuously provided to guide the user through each stage of interaction, making the system interactive and user-friendly. Secure email transmission is achieved using the Simple Mail Transfer Protocol (SMTP) with authentication mechanisms to protect user credentials. Error handling techniques are incorporated to manage speech recognition failures, network issues, and invalid inputs. The proposed system is particularly beneficial for visually impaired individuals, elderly users, and users with physical disabilities who may face challenges while using conventional email interfaces. Additionally, the system can be extended to support multilingual speech recognition and noise reduction techniques for improved accuracy. Experimental evaluation demonstrates reliable performance in converting speech to text and successfully delivering emails with minimal user intervention. Overall, this project highlights the potential of voice-driven interfaces in enhancing digital communication and promoting inclusive technology solutions.
INTRODUCTION
The rapid evolution of information and communication technologies has transformed the way individuals interact and exchange information in the digital era. Email has emerged as one of the most reliable and widely adopted communication platforms for personal, educational, corporate, and governmental purposes. Despite its popularity, conventional email systems continue to depend primarily on manual text input through keyboards or touch-based devices. Such interaction methods can be difficult or inaccessible for visually impaired users, elderly individuals, and people with physical or motor impairments. The need for alternative and inclusive interaction mechanisms has driven research and development in the field of human–computer interaction. Voice-based systems have gained significant attention due to their natural, intuitive, and hands-free mode of communication. Speech-based interfaces allow users to interact with machines in a manner similar to human conversation. The integration of speech recognition and text-to-speech technologies has enabled the development of intelligent systems capable of understanding and responding to spoken commands. The Voice-Based Email Sending System proposed in this project aims to simplify email communication by allowing users to compose and send emails using voice commands alone. The system captures audio input from the user through a microphone and processes it using a speech recognition engine to convert spoken language into textual information. To enhance user experience, the system provides continuous audio feedback using text-to-speech synthesis, ensuring that users are informed about system actions at every stage. One of the major challenges in voice-driven email systems is accurately interpreting spoken email addresses, which often include special characters such as “at,” “dot,” and numerical values. Misinterpretation of these components can lead to incorrect email addresses and message delivery failures. To address this issue, the proposed system incorporates intelligent text processing techniques that convert spoken words into valid email symbols and digits. The system also applies text cleaning mechanisms to remove unwanted characters and correct common speech recognition errors. Email address validation is performed to ensure that the detected address conforms to standard formatting rules and domain structures. Security is a critical concern in automated communication systems, particularly when sensitive information is transmitted over the internet. The proposed system uses authenticated Simple Mail Transfer Protocol communication to securely send emails through a trusted email service provider.
OBJECTIVES
The primary objective of this project is to design and develop a reliable voice-based email sending system that enables users to compose and transmit emails using spoken commands instead of traditional keyboard-based input methods. The system aims to provide an accessible and user-friendly communication platform that reduces dependency on physical input devices and enhances ease of use for individuals with visual impairments, physical disabilities, or limited technical proficiency. By integrating speech recognition and text-to-speech technologies, the project seeks to create an interactive environment where users can communicate with the system naturally and efficiently. Another important objective of the project is to accurately capture and process user voice input in real time using speech recognition techniques. The system is designed to convert spoken language into textual data with high accuracy while minimizing errors caused by pronunciation variations, accents, or environmental noise. The project emphasizes improving speech-to-text conversion reliability so that the user’s spoken commands are correctly interpreted and processed by the system. A key objective of this project is to intelligently interpret spoken email addresses, which often include special characters such as “at,” “dot,” and numerical values that are not naturally spoken in everyday conversation. The system aims to translate these spoken words into valid email symbols and digits through effective text preprocessing techniques. This objective addresses one of the major challenges in voice-based email systems and ensures correct identification of recipient email addresses. The project also aims to implement robust text cleaning and normalization mechanisms to remove unwanted characters, correct common speech recognition errors, and standardize the extracted textual data. This objective ensures that the final email address, subject, and message content are free from inconsistencies that could lead to communication errors. By incorporating intelligent cleaning techniques, the system improves accuracy and reliability in real-world usage scenarios. Another significant objective is to validate the extracted email address before sending the message. The system is designed to verify domain structures, check for invalid symbols, and ensure compliance with standard email formatting rules. This validation objective helps prevent email delivery failures and enhances the overall reliability of the system. Ensuring correctness before transmission reduces unnecessary network usage and improves user confidence. Security is a critical consideration in automated communication systems, and one of the objectives of this project is to ensure secure email transmission
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SYSTEM REQUIREMENTS
A. Hardware Requirements
• A desktop or laptop computer capable of running Python applications.
• Minimum 4 GB RAM to support speech processing and background services.
• Processor with at least Intel i3 or equivalent for smooth execution.
• Microphone for capturing user voice input clearly.
• Speakers or headphones for receiving text-to-speech audio feedback.
• Stable internet connection for speech recognition and email transmission.
• Sufficient storage space for program files and dependencies.
• Standard input/output devices for system setup and monitoring.
B. Software Requirements
• Operating System: Windows, macOS, or Linux.
• Programming Language: Python 3.8 or higher.
• Python Integrated Development Environment (IDLE) or any suitable IDE.
• SpeechRecognition library for speech-to-text conversion.
• sounddevice library for audio recording.
• smtplib module for email transmission.
• email.message module for structured email creation.
• subprocess module for text-to-speech execution.
• re module for text preprocessing and validation.
• numpy library for audio data handling.
• noisereduce library for noise handling (optional).
• Internet browser for Google Speech API access.
• Gmail account with SMTP access enabled.
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