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VNUHCM Journal of

Science and Technology Development

An official journal of Viet Nam National University Ho Chi Minh City, Viet Nam since 1997

ISSN: 1859-0128
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Performing Text – To – Speech based Hidden Markov Model on Digital Signal Processing platform

Nhat Truong Minh Vu 1, *
Binh Hieu Nguyen 1
Nhat Minh Pham 1
Thuan Huu Huynh 1
Tu Trong Bui 1
Quan Hai Vu 1

  1. University of Science, VNU-HCM
Correspondence to: Nhat Truong Minh Vu, University of Science, VNU-HCM. Email: pvphuc@vnuhcm.edu.vn.
Volume & Issue: Vol. 17 No. 1 (2014) | Page No.: 32-38 | DOI: 10.32508/stdj.v17i1.1240
Published: 2014-03-31

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Copyright © 2014 by the author(s).

Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Text To Speech (TTS) using Hidden Markov Model (HMM) has become popular in recent years. However, because most of such systems were implemented on personal computers (PCs), it is difficult to offer these systems to real applications. In this paper, we present a hardware implementation of TTS based on DSP architecture, which is applicable for real applications. By optimizing hardware architecture, the quality of the DSP-based synthesized speech is nearly identical to that synthesized on PCs.

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