Title :
Thai phonetization of English words using English syllables
Author :
Pitakpawatkul, Kitanan ; Suchato, Atiwong ; Punyabukkana, Proadpran ; Wutiwiwatchai, Chai
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
In Thai, it is not easy to find transcriptions of Roman characters such as English words. This leads to problems in Thai text-to-speech when facing with English words among Thai writing. Automatic English to Thai Grapheme-to-Phoneme conversion is proposed to tackle this problem. This paper presents an application of English syllable features to tone prediction model which is capable of classifying ambiguous tones and a refinement of post-processing module for phone prediction model. Experimental results show that the syllable and word accuracy are 76.03% and 53.93% respectively, which outperform all previous models.
Keywords :
natural language processing; speech processing; speech synthesis; English syllable feature; English syllables; English words; Roman characters; Thai grapheme to phoneme conversion; Thai phonetization; Thai text-to-speech; Thai writing; automatic English; phone prediction model; post processing module; tone prediction model; Accuracy; Analytical models; Dictionaries; Hidden Markov models; Mathematical model; Predictive models; Testing; Discriminative framework; English syllable; English to Thai G2P; Text-to-speech; Thai phonetization of English words;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4799-0546-1
DOI :
10.1109/ECTICon.2013.6559561
