<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study introduces a sophisticated music recognition classification system designed to preprocess musical samples from various instruments and extract cepstrum coefficients. These coefficients are subsequently utilized to train the tuning parameters of a deep confidence network. Once trained, the model is employed to predict the types of instruments used in test samples. Additionally, this paper explores the innovative application of a digital sound effector to process audio from the erhu and popular music, aiming to achieve a harmonious integration of frequency and pitch, thereby facilitating both reference and innovation of the erhu within the realm of popular music. The analysis delineates that within the digital sound effector, the pitch accumulation plugin and the stirring effect plugin exert a more pronounced influence on the fusion of erhu sounds with pop music compared to the comb filter plugin. The integration of frequencies is predominantly observed in two key segments of the composition. The first segment, spanning from 1’30” to 3’25”, showcases the fusion within bars 21-85 of the erhu piece “Chu Song”. The second segment, occurring from 4’68” to 7’49”, employs equalizer and delay effects to blend electronic music elements with the erhu, enhancing the piece’s contemporary relevance and appeal. This innovative approach underscores the potential of digital effects in bridging traditional Chinese musical instruments with modern music genres.</p>
</abstract>

This study introduces a sophisticated music recognition classification system designed to preprocess musical samples from various instruments and extract cepstrum coefficients. These coefficients are subsequently utilized to train the tuning parameters of a deep confidence network. Once trained, the model is employed to predict the types of instruments used in test samples. Additionally, this paper explores the innovative application of a digital sound effector to process audio from the erhu and popular music, aiming to achieve a harmonious integration of frequency and pitch, thereby facilitating both reference and innovation of the erhu within the realm of popular music. The analysis delineates that within the digital sound effector, the pitch accumulation plugin and the stirring effect plugin exert a more pronounced influence on the fusion of erhu sounds with pop music compared to the comb filter plugin. The integration of frequencies is predominantly observed in two key segments of the composition. The first segment, spanning from 1’30” to 3’25”, showcases the fusion within bars 21-85 of the erhu piece “Chu Song”. The second segment, occurring from 4’68” to 7’49”, employs equalizer and delay effects to blend electronic music elements with the erhu, enhancing the piece’s contemporary relevance and appeal. This innovative approach underscores the potential of digital effects in bridging traditional Chinese musical instruments with modern music genres.

The application and innovation of erhu music in modern popular music

Hebei Minzu Normal University for Nationalities

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"The application and innovation of erhu music in modern popular music"}

This study introduces a sophisticated music recognition classification system designed to preprocess musical samples from various instruments and extract...

The application and innovation of erhu music in modern popular music

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 06. März 2024

Akzeptiert: 21. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1664

Schlüsselwörter
Music recognition, Digital sound effector, Frequency fusion, Pop music

© 2024 Meng Tong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The application and innovation of erhu music in modern popular music

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 06. März 2024

Akzeptiert: 21. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1664

SchlüsselwörterMusic recognition, Digital sound effector, Frequency fusion, Pop music

© 2024 Meng Tong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Music recognition, Digital sound effector, Frequency fusion, Pop music