Indian Language Identification Systems: A Review on databases and AI based Industrial Applications

Himani Tomar, Deepti Deshwal, Neelu Trivedi
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Abstract

The technique for determining the language of an unidentified speaker from an utterance is called Language Identification. The classification of Language Identification Systems is based on database gathering approaches, feature extraction techniques from speech signals, and classification algorithms. Database plays a very important role in language identification systems. So, to build an efficient language identification system all the stages beginning from database collection to feature extraction and finally classification should be considered. The purpose of this study is to provide an overview of the various databases utilized in the field of Indian Language Identification systems. The document also lists many databases that can be used to identify languages. Different industrial applications of Artificial intelligence are also covered in this work.
印度语言识别系统:基于数据库和人工智能的工业应用综述
从话语中确定身份不明的说话者的语言的技术称为语言识别。语言识别系统的分类是基于数据库收集方法、语音信号特征提取技术和分类算法。数据库在语言识别系统中起着非常重要的作用。因此,要构建一个高效的语言识别系统,需要考虑从数据库收集到特征提取再到分类的各个阶段。本研究的目的是概述在印度语言识别系统领域使用的各种数据库。该文档还列出了许多可用于识别语言的数据库。这项工作还涵盖了人工智能的不同工业应用。
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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