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Database Interaction Using Automatic Speech Recognition

Author(s):

Deeba Shahab , Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India; Pragati Naikare, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India; Shravani Deshmukh, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India

Keywords:

Natural Language Processing, LN2SQL, Speech Recognition, SQL, Syntactic, Semantic, Tokenization, Data Dictionary, Lexical Analysis

Abstract

This Interaction with databases is achievable only if we are familiar about the standard SQL queries. In this paper, speech-based DBMS communication is the focus. Users can use their voice to interface with the database and retrieve information. Therefore, it is not necessary for the user to have prior understanding of SQL queries. Information retrieval is concerned with providing quick access to information based on a user's request, which will be presented as a query. If further information is required, a dialogue system that can understand spoken natural language questions will ask for it before responding to the speaker's question. Primarily a small number of information extraction research studies are devoted to the study of spoken language information extraction, the majority of which concentrate only on written language processing. In this system, user can also enter the query using speech. System will convert speech into the text format. This query will get transformed to SQL query. System will execute the query and gives output to the user.

Other Details

Paper ID: IJSRDV10I80038
Published in: Volume : 10, Issue : 8
Publication Date: 01/11/2022
Page(s): 37-40

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