Paper Title

Text-to-Speech & Speech-to-Text Conversion

Article Identifiers

Registration ID: IJNRD_209338

Published ID: IJNRD2311287

DOI: Click Here to Get

Authors

Shaikh Arbaz Hussain , Shaikh Irshad Baba , Yasa Keerthi , Dr. S. Sree Hari Raju

Keywords

Text-to-Speech, Speech-to-Text, corpus-based TTS, Deep Neural Network, Google location Tracking System, podcasts.

Abstract

Text-to-Speech & Speech-to-Text is the integration of completely two different technologies onto a single platform. These technologies are quite opposite to each other in conversions and deal with highly trained models with Deep Neural Networks (DNNs). Text-to-Speech (TTS) is a technology that helps users to convert any text into speech. The text may be his/her content a document or an email, whatever the text may be TTS can convert it into human-like speech. This technology is used nowadays in Google location tracking Systems, Railway Stations, education, and so on. Corpus-based TTS helps in generating a synthesized speech that resembles human sound. Speech-to-Text (STT) is a technology that deals with speech recognition which converts recognized speech into text. Speech may be human instant voice or streaming content, podcasts, and call recordings. This technology is widespread in today’s business world which helps quick notes from words. The converted text is saved as Transcript.txt and speech is saved as .mp3 for user further requirements in his folders. This project and these technologies help humans work of reading, writing, and speaking much more easily and effectively.

How To Cite (APA)

Shaikh Arbaz Hussain, Shaikh Irshad Baba, Yasa Keerthi, & Dr. S. Sree Hari Raju (November-2023). Text-to-Speech & Speech-to-Text Conversion . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), c707-c710. https://ijnrd.org/papers/IJNRD2311287.pdf

Issue

Volume 8 Issue 11, November-2023

Pages : c707-c710

Other Publication Details

Paper Reg. ID: IJNRD_209338

Published Paper Id: IJNRD2311287

Downloads: 000121984

Research Area: Computer Engineering 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311287.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311287

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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.

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