Instrumental Music Dissemination of Southwest Ethnic Minorities Based on Big Data Technology

Luo, Jiaqi

doi:10.1007/978-3-031-29097-8_121

Cited by 1 publication

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“…Music, as a cultural carrier that transcends time and space, has always been an important component of human emotional expression and cultural inheritance [1][2][3]. In particular, the timbres of traditional ethnic musical instruments, which contain rich historical and cultural information and carry the unique charm of national music [4][5][6], are of significant interest. However, over time, many recordings of traditional instrument timbres face the risk of degradation and loss, presenting severe challenges to the preservation and restoration of these sounds.…”

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confidence: 99%

Synthesis and Restoration of Traditional Ethnic Musical Instrument Timbres Based on Time-Frequency Analysis

Chen,

Xiang,

Xiong

2024

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With the advent of the digital age, the preservation and restoration of the timbres of traditional ethnic musical instruments have emerged as significant areas of study in musicology and signal processing. Music serves not only as a bridge between history and culture but also plays an irreplaceable role in expressing ethnic characteristics and emotions. The timbres of traditional ethnic musical instruments, owing to their unique musical expressiveness and cultural value, have attracted widespread attention from both the academic and industrial sectors. However, many valuable timbre recordings are facing threats of damage and disappearance due to limitations in old recording technologies and preservation conditions. Moreover, existing timbre processing technologies still require improvements in separation accuracy, synthesis authenticity, and restoration naturalness. This study aims to achieve efficient separation, authentic synthesis, and natural restoration of the sounds of traditional ethnic musical instruments through advanced signal processing methods. Initially, this paper discusses a sound separation technique for traditional ethnic musical instruments based on time-frequency analysis, addressing the issue of insufficient resolution in complex audio signals. Subsequently, it proposes a timbre synthesis method based on the Transformer deep learning model, which can understand and reproduce the delicate timbral characteristics of musical instruments. Finally, addressing the continuity issue in timbre restoration, this paper introduces an innovative restoration technique to enhance the quality of damaged audio restoration and auditory consistency. Through the application of these methods, this study not only contributes to the protection and restoration of traditional timbres but also advances related audio processing technologies.

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