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    Item type:Publication,
    Deep Neural Networks for Sound Synthesis of Thai Duct F1ute, Khlui
    (2021-04-01)
    Sinjankhom, Tantep
    ;
    ; ;
    Kato, Tomonori
    This paper introduces Thai musical instrument sound synthesis with an intelligent technique which is a combination of deep neural networks and conventional signal processing techniques. The instrument focused on in this paper is the Khlui, which is a unique Thai reedless wind instrument. Khlui sound can be synthesized by performing a combination of additive and subtractive syntheses. The synthesis system takes the pitch and loudness of any monophonic input signal. Then, multilayer perceptron and recurrent neural networks are used together in order to generate 3 parameters which are harmonic distribution, filter magnitude response, and the signal envelope. Finally, the harmonic characteristic of the Khlui along with the blowing noises are highly synthesized. The results are natural-sounding and realistic when compared with the recorded Khlui audio. This research will contribute to the more convenient natural synthesis of the Khlui sounds.
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    Item type:Publication,
    Acoustical analysis of the thai duct flute, Khlui
    (2020-07-01) ;
    Padthong, Padcharawan
    ;
    Sinpru, Bhumrape
    ;
    Sriseang, Nutwarot
    ;
    The purpose of this paper is to study the acoustical model of the Thai traditional duct flute, khlui. The relation between physical characteristics of the flute, such as acoustic length, playing hole, temperature effect, etc., and the frequency of each musical note of khluis is investigated. First, the fundamental frequencies of each finger hole of 10 khluis are measured. Then, data between the ideal musical notes and measured notes of khlui are analysed. The results indicate that the production process of khlui still has limits in accuracy. Finally, in order to develop a production standard of the Thai duct flute, a model of khlui is designed. The musical notes of the designed flute are measured. The accuracy of the designed flute is investigated to support the understanding of its acoustical model.