Parametric modeling of audio features of suona music of intangible cultural heritage and its digital storage strategy

The digitization of non-heritage suona music is of great significance to the study of changes in the historical form of music and culture, historical audio restoration, and national music and cultural inheritance. This paper constructs suona music feature extraction algorithm, takes energy spectrum, amplitude spectrum and beat histogram as the entry point, and categorizes and models suona music features according to the human ear's subjective perception of music in four aspects: pitch, loudness, timbre and rhythm. Then we analyze the influence and applicability of timbre and melody to folk music, and extract the four features of Mel's inverted spectral coefficient reflecting timbre, fundamental frequency reflecting melody, resonance peaks, and frequency band energy distribution. Experiments were designed to analyze and compare feature extraction and directivity. It is found that in the four octave bands from 125Hz to 4000Hz, the shape of the directivity graph formed by the normalized sound pressure level NSPL values at each measurement point of suona music is basically the same, and the trend of the directivity graph does not deviate too much. The directivity of suona in each octave band is characterized as strong in the front and weak in the back, and strong in the top and weak in the bottom. This paper provides a new technique for further research and retrieval of suona music, as well as restoration and digital remastering.