Universiti Teknologi Malaysia Institutional Repository

Application of genetic algorithm in unit selection for Malay speech synthesis system

Lim, Yee Chea and Tan, Tian Swee and Shaikh Salleh, Sheikh Hussain and Ling, Dandy Kwong (2012) Application of genetic algorithm in unit selection for Malay speech synthesis system. Expert Systems With Applications, 39 (5). pp. 5376-5383. ISSN 0957-4174

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Official URL: http://dx.doi.org/10.1016/j.eswa.2011.11.047


Corpus based speech synthesis can produce high quality synthetic speech due to it high sensitivity to unit context. Large speech database is embedded in synthesis system and search algorithm (unit selection) is needed to search for the optimal unit sequence. Speech feature which served as target cost is estimated from the input text. The acoustic parameters which served as join cost are derived from mel frequency cepstral coefficients (MFCCs) and Euclidean distance. In this paper, a new method which is Genetic Algorithm is proposed to search for optimal unit sequence. Genetic Algorithm (GA) is a population based search algorithm that is based on the biological principles of selection, reproduction, crossover and mutation. It is a stochastic search algorithm for solving optimization problem. The speech unit sequence that has minimum join cost will be synthesized into complete waveform data.

Item Type:Article
Uncontrolled Keywords:Expert systems
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Biosciences and Medical Engineering
ID Code:46618
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 13:56
Last Modified:17 Sep 2017 14:49

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