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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Survey On Voice Command Based Data Retrieval System
Authors Name: Maria Joseph , Clair Mary Mathew , Shabna Shajahan , Gowri M Nair , Rakhi Ramachandran Nair
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IJRTI_200427
Published Paper Id: IJRTI2501093
Published In: Volume 10 Issue 1, January-2025
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Abstract: The rapid advancements in natural language pro- cessing (NLP), speech recognition, and database management have led to the creation of innovative systems that improve how humans interact with computers. This survey combines information from ten research papers to provide a detailed overview of modern techniques in areas like voice-based in- terfaces, converting natural language into SQL queries, and deep learning methods for speech and text processing. Key topics include creating systems to turn natural language into structured database queries, improving the accuracy of speech- to-text technology, and using advanced machine learning models such as Recurrent Neural Networks (RNNs), Transformers, and Hidden Markov Models (HMMs). These developments aim to make human-computer interactions smoother and more effective. The surveyed papers also points to specialized applications, such as smart home systems, big data models, and information retrieval from unstructured speech datasets. While noticeable progress has been made in areas like sequence modeling, fea- ture extraction, and query optimization, the review identifies challenges related to scalability, noise handling, and language diversity. The production of these findings provides a roadmap for future research, the need for robust, adaptable, and user concentrated systems. This survey serves as a base reference for researchers seeking to address the technological gaps and advance innovations in natural language interfaces, speech recognition, and intelligent data retrieval systems.
Keywords: NLP, Speech Recognition, SQL Query Genera- tion, RNNs, Transformer Models.
Cite Article: "Survey On Voice Command Based Data Retrieval System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a786-a793, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501093.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2501093
Registration ID:200427
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a786-a793
Country: Kottayam, Kerala, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501093
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501093
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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