Digital Research Of Mongolia Tune Based On Physiological And Acoustic Study

Mongolian folk songs are the most beautiful and the most typical style in Mongolian minority, it is the art exhibition of Mongolian way of life, thus the research of Mongolia folk song will abound human art treasure house. From the current study situation, the research of Mongolian tune length is all limited to the surface of the singing style form, not based on the acoustic research for internal study of physiological characteristics. In this paper, we research Mongolian folk songs from digital voice, voice and breathing three aspects to collect multi-dimensional and analysis signal from all the aspects.In pronunciation:we study the Mongolian tune and divide drawl duration category length in the singing from length, formant and resonance peak; in energy:we analyzed energy’s distribution and resonant producing from harmonic and resonant envelope in the singing. Then, we analyze voice from the fundamental frequency, open quotient and speed. We calculated the tendency of music frequency statistically. From the frequency distribution statistics of whole article and the tendency of music frequency At last, we collect chest and abdomen breathing single of both man and woman from the type of acoustic.In this paper, through the deep learning of Mongolian folk songs’internal rhythm and acoustic features from the above three aspects, we comparatively analyzed two kinds of singing in acoustic way, which provided a basis data for the protection and spread of Mongolian folk songs, but also laid a theoretical foundation for systematic and deeper research of future.