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This exploration paper explores the development of a textbook- to- speech Chrome extension, fastening on the perpetration and evaluation of a hang- grounded approach for textbook- to- speech conversion. The paper delves into the fundamentals of textbook- to speech technology, analyses the chosen hang- grounded system, and discusses the specialized perpetration, stoner experience, availability considerations, and performance analysis of the extension. Text to Speech( TTS) conflation is a process of rephrasing natural language textbook into speech. Pieces of recorded speech induce synthesized speech and a database is maintained for storing this synthesized speech. A speech synthesizer’s affair is determined through its resemblance to the person maximum and its capacity to be inferred. In recent times between the two main subsections machine literacy and deep literacy of Artificial Intelligence(AI), deep literacy has achieved huge success in the sphere of textbook to speech conflation. In this literature, a taxonomy is introduced which represents some of the deep literacy- grounded infrastructures and models popularly used in speech conflation. Different datasets that are used in TTS have also been bandied. Further, for assessing the quality of the synthesized speech some of the extensively used evaluation matrices are described. Eventually, the paper concludes with the challenges and unborn directions of the textbook- to- speech conflation system.
"Text- to- Speech Chrome Extension A Research Paper ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a449-a454, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508054.pdf
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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