An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS Application

Tran, D.C. and Son Ha, H. and Quach, L.-D. and Hassan, M.F. (2020) An Email to Readable Vietnamese Text Conversion Algorithm for Use in TTS Application. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

In recent years, the growth of corporates' businesses worldwide has driven the setups of call centers for supporting global customers 24/7 across the globe. However, many of the call centers are operated by human manually. Thus, there is need for developing automatic call center which is powered by artificial intelligence (AI), hence reducing operational costs through automation of calls, answering calls, conducting surveys, and receiving customer feedbacks. In this context, recently developed engines such as FPT.AI serves well local customers since it supports well the national language. However, it's text-to-speech (TTS), an essential part of the complete engine, is currently having difficulties in reading customer emails. Therefore, this work presents an email to readable Vietnamese text conversion algorithm for use in TTS application. The average processing time tested on 60 emails is 1.7 milliseconds (ms). By manually validating the dataset, it is found that the algorithm achieves accuracy of up to 86.67. © 2020 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Impact Factor: cited By 0
Uncontrolled Keywords: Electronic mail; Engines; Sales, Call centers; Corporates; Customer feedback; It supports; National language; Processing time; Text conversion; Text to speech, Artificial intelligence
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 06:34
Last Modified: 25 Mar 2022 06:34
URI: http://scholars.utp.edu.my/id/eprint/30116

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