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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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Article Details
Issue: Vol 17 No 1 (2014)
Page No.: 32-38
Published: Mar 31, 2014
Section: Natural Sciences - Research article
DOI: https://doi.org/10.32508/stdj.v17i1.1240
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Vu, N., Nguyen, B., Pham, N., Huynh, T., Bui, T., & Vu, Q. (2014). Performing Text – To – Speech based Hidden Markov Model on Digital Signal Processing platform. Science and Technology Development Journal, 17(1), 32-38. https://doi.org/https://doi.org/10.32508/stdj.v17i1.1240
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