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A Structured Approach towards Robust Database Collection for Language Identification

机译:用于语言识别的强大数据库收集的结构化方法

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Language Identification (LID) is a method by which the language is identified from an utterance communicated by an unidentified person. Language Identification systems classification is based on database collection methodologies, techniques of extraction of features from the speech signals and methods of classification. From the very beginning stage of database collection to the classification stage, it is evaluated that there is a great need to work on all the dimensions of language identification systems. This paper gives a review of different databases used in the area of Indian Language Identification systems. Also, the existing work delivers a structured method towards robust speech database collection for developing an efficient language identification system. The paper also presents several databases available for language identification systems.
机译:语言识别(盖子)是一种方法,通过由未识别的人传达的话语来识别语言。语言识别系统分类基于数据库收集方法,从语音信号提取特征的技术和分类方法。从数据库收集的一开始阶段到分类阶段,评估有很大需要在语言识别系统的所有维度上工作。本文给出了对印度语言识别系统领域使用的不同数据库的审查。此外,现有工作为强大的语音数据库收集提供了一种结构化方法,用于开发有效的语言识别系统。本文还提供了用于语言识别系统的几个数据库。

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