基于词法分析器的语音识别集成框架

B. Sujatha, B. Vanajakshi, K. Nirmala
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引用次数: 1

摘要

人类之间最主要的交流方式是通过语言。如果使用得当,言语是最强大的交流工具。如今,英语已成为有文化的人之间交流最重要、最常用的语言。只有适当地使用首选语言的词汇,才有可能进行良好的交流。我们发现需要一个系统来分析语音中使用的词汇,这被称为语音。本系统开发了一个基于词法分析器(SALA)的语音分析集成框架。该系统应用于教学、就业、沟通技巧、英语词汇熟练度等方面。提出的SALA输入由英语语音组成的音频。该音频被并行录制并转换为文本,并通过标记器和词法分析器传递,然后与GSL进行比较,以创建讲话者在输入音频中使用的词汇水平报告。该系统采用最流行的语音到文本转换技术对语音进行分析,这是人工智能的一个特殊分支。
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SALA-An Integrated Framework for Speech Recognition Using Lexical Analyzer
First and foremost method of communication between humans is through speech. Speech is the most powerful communication tool if it is used in an appropriate way. These days English has become the most prominent and most used language for interaction between literates. Good communication is possible only if vocabulary of the preferred language is used appropriately. We have found need of a system which analyzes the vocabulary used in the spoken audio which is referred to as speech. This system developed an Integrated Framework for Speech Analysis using Lexical Analyzer (SALA). This system is used in several areas of concern such as in teaching, employment, communication skills, one’s dexterity in English vocabulary. The proposed SALA takes input an audio which consists of English speech. This audio is parallelly recorded and also converted into text and is passed through tokenizer and lexical analyzer, then compared with GSL to create a report of the vocabulary levels used by the speaker in the input audio. This system uses the most popular Speech to Text Conversion to analyze the speech which is a peculiar branch of Artificial Intelligence.
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