Optimization Effect of Nonlinear Denoising Algorithm of Audio Signal in Piano Performance on Aesthetic Performance of Piano Timbre

In recent years, with the rapid development of computer science and information technology, research on the acoustic aspects of audio signals has gradually become a hot topic in the field of music. Addressing the issue of low accuracy in current instrument audio recognition, this paper proposes a set of nonlinear denoising algorithms to optimize the aesthetic performance of piano tones. Using WAV files of Yamaha YA128EX piano performances as experimental data, MATLAB simulation results show that within 10s, 20s, and 30s, the root mean square errors (RMSE) of the signal processing using this method are 4.49%, 3.30%, and 3.36%, respectively, while the RMSE of other methods are 5.80%, 6.88%, and 3.76%, respectively. Therefore, the proposed method achieves more significant results in piano audio signal feature extraction, with higher extraction accuracy, and the beam integration of the recognition output is significantly improved.