Research on Piano Timbre Transformation System Based on Diffusion Model
Chun-Chieh Hsu, Tsai-Ling Hsu, Chen-Chen Yeh, Shao-Chien Lu, Cheng-Han Wu, Bing-Ze Liu, Timothy K. Shih, Yu-Cheng Lin

TL;DR
This paper introduces a diffusion-based model for precise piano timbre conversion from various instruments, demonstrating high accuracy, stability across styles, and potential for real-time applications in digital music creation.
Contribution
The study presents a novel diffusion architecture for timbre conversion that effectively captures pitch and loudness features, enabling high-quality, real-time piano sound synthesis from diverse musical inputs.
Findings
High pitch accuracy and timbral similarity achieved
Stable performance across musical styles and lengths
Potential for real-time live performance applications
Abstract
We propose a timbre conversion model based on the Diffusion architecture de-signed to precisely translate music played by various instruments into piano ver-sions. The model employs a Pitch Encoder and Loudness Encoder to extract pitch and loudness features of the music, which serve as conditional inputs to the Dif-fusion Model's decoder, generating high-quality piano timbres. Case analysis re-sults show that the model performs excellently in terms of pitch accuracy and timbral similarity, maintaining stable conversion across different musical styles (classical, jazz, pop) and lengths (from short clips to full pieces). Particularly, the model maintains high sound quality and accuracy even when dealing with rapidly changing notes and complex musical structures, demonstrating good generaliza-tion capability. Additionally, the model has the potential for real-time musical conversion and is…
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Taxonomy
TopicsMusic Technology and Sound Studies · Music and Audio Processing · Diverse Interdisciplinary Research Innovations
