Application of lossless signal transmission technology in piano timbre recognition

• Published in: Nonlinear engineering Vol. 14; no. 1; pp. 11 - 88
• Main Author: Li, Lin
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 24.06.2025; Walter de Gruyter GmbH
• Subjects: Analog to digital converters; Audio data; Audio signals; Correlation analysis; Digital signal processing; lossless signal transmission; Musical instruments; piano timbre recognition; Pianos; Recognition; Signal processing; Signal quality; Signal transmission; Synthesis
• ISSN: 2192-8029; 2192-8010; 2192-8029
• DOI: 10.1515/nleng-2025-0108

In a timbre recognition system, the representation of functional sounds is the foundation of timbre frequency recognition correlation analysis and is crucial for the overall performance of the system. In order to obtain more accurate tone frequency points, this study adopts a dual tone multi frequency (DTMF) signal processing system based on A/D converter, which can effectively extract key information from audio signals. Furthermore, utilizing envelope function based electronic synthesis technology, an analog signal processing module has been developed to optimize the quality of audio signals. Next the analog signal is converted into a digital signal through an A/D converter for subsequent digital signal processing and recognition. Accurate detection of DTMF signals is a crucial step in the application of technology in signal processing, which directly affects the effectiveness of timbre recognition. With the continuous development of music signal recognition and electronic synthesis technology, the role of lossless signal transmission technology is becoming increasingly prominent. The research in this article shows that lossless signal transmission technology has achieved significant results in piano timbre recognition, with an accuracy of 89.32%, which is 22.54% higher than traditional transmission technology. This achievement not only provides new ideas for the improvement and development of musical instruments, but also provides technical support for the development of robot bands. In summary, the application of lossless signal transmission technology in piano timbre recognition has broad prospects and practical application value.