Natthawut Kertkeidkachorn

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Tones in tonal languages are defined based on the characteristics of their fundamental frequencies. However, it has been shown that fundamental frequencies alone do not lead to good tone identification, either by human or machines. This paper reports a study based on tone perception experiments in which participants identified Thai tones from recorded(More)
In Thai, tonal information is a crucial component for identifying the lexical meaning of a word. Consequently, Thai tone classification can obviously improve performance of Thai speech recognition system. In this article, we therefore reported our study of Thai tone classification. Based on our investigation, most of Thai tone classification studies relied(More)
Spoken and written languages evolve constantly through their everyday usages. Combining with practical expectation for automatically generating synthetic speech suitable for various domains of context, such a reason makes Text-to-Speech (TTS) systems of living languages require characteristics that allow extensible handlers for new language phenomena or(More)
Spelling recognition is a workaround to recognize unfamiliar words, such as proper names or unregistered words in a dictionary, which typically cause ambiguous pronunciations. In the Thai spelling task, some alphabets cannot be differentiated by only spectral cues. In such cases, tonal cues play a critical role in distinguishing those alphabets. In this(More)
Mapping instances to the Linked Open Data (LOD) cloud plays an important role for enriching information of instances, since the LOD cloud contains abundant amounts of interlinked instances describing the instances. Consequently, many techniques have been introduced for mapping instances to a LOD data set; however, most of them merely focus on tackling with(More)