Paper Title

Speech to Text using Deep Learning

Article Identifiers

Registration ID: IJNRD_217843

Published ID: IJNRD2404243

DOI: Click Here to Get

Authors

Balu Madhu , L Nalini Joseph , L Vamsi Krishna Reddy , M Raj Kumar , S Uday Kiran

Keywords

Speech Recognition, Communicate, Input, Text, Language, Neural Machine Translation

Abstract

Speech recognition is one of the fastest growing engineering technologies. It has many applications in various fields, and offers many potential benefits. Many people could not communicate due to the language barrier. Our goal is to reduce this barrier with our program designed and developed to access the system in specific cases, providing vital assistance in enabling people to share information by operating the system using voice input Could. This project takes that factor into account and strives to ensure that our program recognizes speech and converts the input audio to text; This enables the user to perform file operations such as save, open, or opt out of voice-only input. We design a system that recognizes human voices and audio clips and translates between English and English. The output is in text format and we provide options to convert the audio from one language to another. Next, we hope to add a function that provides dictionary meanings for English words. Neural machine translation is the primary method used to perform machine translation in the industry. This work on speech recognition begins with an introduction to the technology and its applications in various fields. Part of the report is based on software improvements in speech recognition.

How To Cite (APA)

Balu Madhu, L Nalini Joseph, L Vamsi Krishna Reddy , M Raj Kumar, & S Uday Kiran (April-2024). Speech to Text using Deep Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), c86-c93. https://ijnrd.org/papers/IJNRD2404243.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : c86-c93

Other Publication Details

Paper Reg. ID: IJNRD_217843

Published Paper Id: IJNRD2404243

Downloads: 000121989

Research Area: Engineering

Country: Prakasam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404243.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404243

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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