DocumentCode :
2910721
Title :
Adopting Malay Syllable Structure for Syllable Based Speech Synthesizer for Iban and Bidayuh Languages
Author :
Juan, Sarah F S ; Edwin, Vyonne ; Chai Yeen Cheong ; Lee Jun Choi ; Yeo, Alvin W.
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak (UNIMAS), Kota Samarahan, Malaysia
fYear :
2011
fDate :
15-17 Nov. 2011
Firstpage :
216
Lastpage :
219
Abstract :
Sarawak, Malaysia, has many under-resourced languages, which stands to become extinct if measures are not taken to preserve and maintain them. These languages are mostly spoken by the indigenous groups and not all of the languages are documented or studied. As an initiative to preserve, a Text to Speech (TTS) system has been built for Iban and Bidayuh languages, two out of 44 living languages in Sarawak. To expedite the development, we employed knowledge of closely-related language, i.e. Malay, which is the first language in Malaysia. In this paper, we employed a syllabification algorithm based on Malay syllable structure to build the Iban and Bidayuh syllable list and speech corpus. An accuracy test for the algorithm was conducted to determine the quality of the output from the TTS system using Categorical Estimation (CE). Test showed high percentage in accuracy and quality has a mean score of 3.07 out of 5, suggesting the approach works.
Keywords :
natural language processing; speech synthesis; Bidayuh language; Iban language; Malay syllable structure; Malaysia; Sarawak; accuracy test; categorical estimation; speech corpus; syllabification algorithm; syllable based speech synthesizer; syllable list; text-to-speech system; Encyclopedias; Gold; Pragmatics; Speech; Speech synthesis; Synthesizers; syllabification algorithm; text to speech system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Language Processing (IALP), 2011 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1733-8
Type :
conf
DOI :
10.1109/IALP.2011.21
Filename :
6121506
Link To Document :
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