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

Registration ID: IJNRD_209338

Published ID: IJNRD2311287

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

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

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.

Published Paper   E-Certificate

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

Volume 8 Issue 11, November-2023

Pages : c707-c710

Paper Reg. ID: IJNRD_209338

Published Paper Id: IJNRD2311287

Downloads: 000122258

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Hyderabad, Telangana, India

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

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