Open Access

A study of the influence of audio signal processing technology on the expression of music aesthetics in piano performance

  
Mar 21, 2025

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Figure 1.

Schematic diagram of audio signal recognition
Schematic diagram of audio signal recognition

Figure 2.

Tree structure of multi-resolution analysis
Tree structure of multi-resolution analysis

Figure 3.

Three-layer decomposition plot of the signal
Three-layer decomposition plot of the signal

Figure 4.

Signal-noise ratio and relative error results
Signal-noise ratio and relative error results

Figure 5.

The method of noise reduction is proposed in this paper
The method of noise reduction is proposed in this paper

Figure 6.

MFCC tonal feature parameter visualization
MFCC tonal feature parameter visualization

Figure 7.

Emotional identification confusion matrix
Emotional identification confusion matrix

Figure 8.

Original signal, distortion signal, calibration signal comparison result
Original signal, distortion signal, calibration signal comparison result

Analysis of the test repertoire

Spectral component (Hz) 0-40 40-100 100-200 200-500 500-1K 1K-4K 4K-8K 8K-16K 16K-24K
Proportion 0.002 0.003 0.005 0.009 0.013 0.035 0.296 0.331 0.306

The results of the sound quality evaluation before and after processing

Indeies Definition score Stereoscopic rating Spatial rating Snr (db) Thd (%)
Pre-processing 3.26 3.51 2.84 80 0.09
Post-processing 4.39 4.77 4.42 93 0.03

The frequency and the tune table

Project Content
Scale B A G F E D C
Simple spectrum 7 6 5 4 3 2 1
Frequency 495 441 393 350 331 294 262
The logarithm of the frequency 53.9 52.9 51.9 50.9 50.4 49.4 48.4
Language:
English