Controlling Email System Using Audio with Speech Recognition and Text to Speech

Over the last two decades, speech technologies and systems of human-computer interaction have progressed steadily and significantly. Speech systems are now widely available for a wide variety of activities that are both exciting and limitless. Speech recognition and system interaction technologies allow machines to interact to human voices accurately and effectively, enabling them to provide helpful services. Recent researches are focused on designing modules that are much more reliable to variation of surrounding, sound source, and various language and it's tones. Human Computer Interaction technology requires human voice emotion detection from source speech signals, which is a heavy task for Human Computer Interaction technology. In the literature review, different well-established speech recognition processing technology and classification of techniques have been used to extract human emotions from source signals. Mailing system is the most important modes of communication in corporate or organization eco-system. Sending an automated response to new incoming messages is a standard practice in corporate culture, but most of the time it seems somehow boring task with regular use of same thing. A framework can be developed to automate the boring task of manually writing thousands of emails. This work proposes a system in which sender will login to own email account and with the help of voice commands and speech that individual will manage to context and send email to particular person available in sender's list. This study focuses on ASR systems with a broad vocabulary that can enable speaker-independent activity and continuous speech in multiple languages. This paper provides a summary of the speech recognition technology as well as the most recent developments. This paper is based on methodology and Architecture of voice interaction starting from sender name, subject and body of email which makes it audio controlled email bot.