Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
"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
Downloads:
000425
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