Script to speech conversion for Hindi language by using artificial neural network

Prajakta Rathod
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引用次数: 3

Abstract

This paper represents the technique for converting the text written in Hindi language into speech by using artificial neural network. Text to speech conversion software can have many applications in day to day life. It can be useful for blind people to read the document. It is useful in giving education to the students by listening what is written in books. If someone doesn't have time to read emails, he can listen the contents of email while doing other work. The document containing Hindi text is scanned and given as an input to the system, it is considered as an image. Then preprocessing is done for the document to obtained clear image. In this system neural network is used for character recognition, so the system can be enhanced to work with letters written in different style or fonts. After the letters in the document are successfully identified by neural network, the text in the document is converted into speech.
利用人工神经网络对印地语进行脚本到语音的转换
本文介绍了利用人工神经网络将印地语文本转换为语音的技术。文本到语音转换软件在日常生活中可以有许多应用。盲人阅读这份文件是很有用的。通过听书中所写的内容对学生进行教育是有用的。如果有人没有时间阅读邮件,他可以在做其他工作的同时听邮件内容。包含印地语文本的文档被扫描并作为输入输入到系统中,它被视为图像。然后对文档进行预处理,得到清晰的图像。在这个系统中,神经网络被用于字符识别,因此系统可以增强以不同风格或字体书写的字母。在神经网络成功识别出文档中的字母后,将文档中的文本转换为语音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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