Voice Based E-Mail System for Visually Impaired using Hidden Markov Models

Abstract

The paper aims to develop a voice-based email system utilizing Hidden Markov Models (HMMs) for speech recognition. In an era where multitasking and hands-free interaction are paramount, this system offers a convenient and intuitive way for users to manage their emails through natural spoken commands. Leveraging a diverse dataset of voice recordings and corresponding text transcripts, HMMs are trained to recognize various email related commands such as composing new emails, reading inbox contents, replying to messages, and more.