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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50946

E-Book to Audio Convertor

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50946

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50946

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SBP

Sayali B. Patil

MMG

Mayuri M. Gaikwad

SSM

Sushant S. Mohite

YPP

Yogesh P. Patil

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Abstract

The eBook to Audio Converter project aims to transform written eBooks into high-quality audio formats, enhancing accessibility and convenience for users. This project addresses the growing demand for accessible digital content by converting various eBook formats (e.g., PDF, EPUB, DOCX) into natural-sounding spoken audio. The process involves several key steps: extracting text from eBooks, cleaning and refining the content by removing non-essential elements and converting the refined text into speech using advanced Text-to-Speech (TTS) technology. The system supports multiple eBooks formats and utilizes TTS engines to provide customizable and lifelike speech synthesis. Key features include support for diverse le types, sophisticated text parsing to ensure clarity, and integration with TTS services that over voice customization and SSML support. This project aims to facilitate a seamless transition from text to audio, making written content more accessible to individuals with visual impairments, those who prefer auditory learning, or anyone needing to multitask. By leveraging cutting-edge TTS technology and focusing on user experience, the eBook to Audio Converter project provides a robust solution that enhances digital content accessibility and usability.

KEYWORDS

– eBook-to-Audio Conversion Text-to-Speech (TTS) Natural Language Processing (NLP) Neural Speech Synthesis Voice Cloning Audio Signal Processing Digital Content Accessibility Automated Audio Rendering

Cite This Article

Sayali B. Patil, Mayuri M. Gaikwad, Sushant S. Mohite, Yogesh P. Patil, "E-Book to Audio Convertor," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50946

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Publication Date

6/22/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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1

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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