An FPT.AI-Based Text-to-Speech Application's End-to-End Conversion Speed Analysis

M. Chaitanya Bharathi; Dr. A. Seshagiri Rao; P. Ramalingamma

doi:10.55524/ijirem.2022.9.5.33

Abstract

In this paper, an FPT.AI-based text-to-speech (TTS) application is developed that converts Vietnamese text into spoken words. the applying is developed supported Django for Python ANd within the style of AN interactive website that is connected to an FPT.AI server through its application programming interface (API). the applying supports conversion of text to seven totally different Vietnamese speeches. Four out of seven voices are often wont to convert up to five hundred characters in an exceedingly single group action whereas the others support that of four hundred characters. supported the results obtained, the primary conversion time takes up to ten s to convert 400-character text into speech whereas the following times, given same text, it takes beneath one.8 s for the conversion. this is often applicable to any or all voices.

Keywords

FPT.AI, TTS, performance, analysis, Vietnamese, voice

Reference

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Cites this article as

M. C. B. , D. A. S. R. , P. Ramalingamma, "An FPT.AI-Based Text-to-Speech Application's End-to-End Conversion Speed Analysis", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-9, Issue-5, Page No-227-231, 2022. Available from: https://doi.org/10.55524/ijirem.2022.9.5.33

Corresponding Author

M. Chaitanya Bharathi

Assistant Professor, Department of Information Technology, PACE Institute of Technology and Sciences, Ongole, India

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