VOICE BASED EMAIL MANAGEMENT SYSTEM

Abstract

ABSTRACT A voice based email management system (100), comprising a speech-to-text (STT) conversion module (102) configured to convert spoken input into textual data for composing and sending emails, a text-to-speech (TTS) conversion module (104) configured to read aloud received email content and an interactive voice response (IVR) (106) module that facilitates navigation and commands through the spoken input. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of management system and in particular relates to a voice based email management system.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Email accessibility is essential for enabling inclusive communication, particularly for visually impaired users who face unique challenges when interacting with standard computer interfaces. Voice-based email systems can bridge this gap by allowing users to compose, read, and manage emails using speech , Claims:1. A voice based email management system (100), comprising:
a speech-to-text (STT) conversion module (102) configured to convert spoken input into textual data for composing and sending emails;
a text-to-speech (TTS) conversion module (104) configured to read aloud received email content; and
an interactive voice response (IVR) module (106) that facilitates navigation and commands through the spoken input.

2. The voice based email management system (100) as claimed in claim 1, wherein the speech-to-text (STT) conversion module (102) and text-to-speech (TTS) conversion module comprise plurality of machine learning models to improve recognition accuracy over time through user feedback and regular training sessions.

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