Photo-realistic text-driven malay talking head with multiple expression

Swee, Tan Tian; Salleh, Sheikh Hussain Shaikh; Chew, Kim-Mey; Lim, Sheau-Chyi

doi:10.1109/iccce.2008.4580697

Cited by 1 publication

(1 citation statement)

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“…For the hearing impaired and vocally handicapped, the TTS system has been used as a communication tool with people who are sign language illiterate (Tan et al, 2007a;Tan et al, 2007b;Gold and Morgan, 2000). Another application of the TTS system is helpful automatic machine for language and emotional talk (HAMLET) which is developed to help users to express their feelings (Tan et al, 2008d;Lemmetty, 2001). Speech synthesis or text to speech is the process of transforming plain text into computer generated synthetic speech (Hasim et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Unit selection for Malay text-to-speech system using segmental context and simulated annealing

Swee¹,

Chea²,

Zainuddin³

et al. 2011

Sci. Res. Essays

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Unit selection method has become the main approach in speech synthesis. The increasing size of recorded speech has resulted in better synthesis speech quality but at the same time also resulted in more expensive computational effort. Therefore, this paper proposes a combination of segmental context matching procedure and Simulated Annealing (SA) in unit selection to improve the quality of synthetic speech and reduce the computational time. The process of unit selection is based on minimization of two costs: target cost and join cost. The segmental context (target cost), the first stage of unit selection matching procedure used to narrow down the search space, followed by an optimization method which is SA to find the units sequence with minimum join cost. Result shows that the synthesis words produced by the proposed system are 15.48% better compared to previous version of corpus-based Malay Text-to-Speech system. Future works may focus on combining SA with other heuristic methods to further enhancing the performance of unit selection.

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Section: Introductionmentioning

confidence: 99%