Article: Characteristics of bel canto resonance based on multi-scale features Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.91 pp.54 - 69 Abstract: Traditional studies on bel canto resonance rely mainly on subjective auditory evaluation, lacking standardised quantitative methods. It is difficult to accurately capture the internal correlations and variation patterns of multi-scale resonance characteristics, it also makes the optimisation of bel canto teaching and singing skills lack of scientific quantitative basis. To address this issue, this paper proposes a dedicated multi-scale feature extraction algorithm and an attention-based feature fusion algorithm. Combined with acoustic experiments on soprano singing signals, we conduct a systematic quantitative study. Results show that this method can effectively extract multi-scale features of bel canto resonance. The recognition rate of the fused features for bel canto vocal types is significantly higher than that of the single feature, and the average recognition rate of all vowels is more than 90%, which can accurately reveal the characteristic distribution of bel canto resonance. Inderscience Publishers - linking academia, business and industry through research

Title: Characteristics of bel canto resonance based on multi-scale features

Authors: Xuemei Li

Addresses: Drama College, Henan Vocational Institute of Arts Zhengzhou, Zhengzhou, 450000, China

Abstract: Traditional studies on bel canto resonance rely mainly on subjective auditory evaluation, lacking standardised quantitative methods. It is difficult to accurately capture the internal correlations and variation patterns of multi-scale resonance characteristics, it also makes the optimisation of bel canto teaching and singing skills lack of scientific quantitative basis. To address this issue, this paper proposes a dedicated multi-scale feature extraction algorithm and an attention-based feature fusion algorithm. Combined with acoustic experiments on soprano singing signals, we conduct a systematic quantitative study. Results show that this method can effectively extract multi-scale features of bel canto resonance. The recognition rate of the fused features for bel canto vocal types is significantly higher than that of the single feature, and the average recognition rate of all vowels is more than 90%, which can accurately reveal the characteristic distribution of bel canto resonance.

Keywords: bel canto; resonance characteristics; multiscale feature; acoustic quantitative analysis.

DOI: 10.1504/IJICT.2026.155779

International Journal of Information and Communication Technology, 2026 Vol.27 No.91, pp.54 - 69

Received: 10 Mar 2026
Accepted: 14 May 2026
Published online: 13 Aug 2026 *

Title: Characteristics of bel canto resonance based on multi-scale features

Keep up-to-date