使用隐马尔可夫模型的视障语音电子邮件系统

Supriyaa C, S. Anu Priya
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引用次数: 0

摘要

本文旨在开发一种基于语音的电子邮件系统,利用隐马尔可夫模型(HMM)进行语音识别。在多任务处理和免提交互成为主流的时代,该系统为用户通过自然的口语命令管理电子邮件提供了一种便捷、直观的方式。利用不同的语音记录数据集和相应的文本转录,HMM 经过训练可识别各种与电子邮件相关的命令,如撰写新邮件、阅读收件箱内容、回复邮件等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voice Based E-Mail System for Visually Impaired using Hidden Markov Models
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.
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