Chengshi Zheng

Title: Chengshi Zheng: Innovator in Acoustic Feedback Suppression

Introduction

Chengshi Zheng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of acoustic feedback suppression through his innovative methods. His work focuses on utilizing deep learning techniques to enhance the performance of closed-loop systems.

Latest Patents

Chengshi Zheng holds a patent for a "Deep learning-based method for acoustic feedback suppression in closed-loop system." This method involves applying an offline trained closed-loop system suppression model to process audio signal inputs. The processed audio signal is then fed to a sound reproduction unit for playback, effectively achieving acoustic feedback suppression. The model is built on deep learning principles, which allows for the simulation of the closed-loop system and the generation of a unit impulse response of the acoustic feedback path. This innovative approach also includes calculating a maximum stable gain and generating both closed-loop and open-loop target signals for training the model.

Career Highlights

Chengshi Zheng is affiliated with the Chinese Academy of Sciences, where he continues to advance research in his field. His work has garnered attention for its practical applications in improving audio systems and reducing feedback issues.

Collaborations

Chengshi Zheng collaborates with fellow researcher Xiaodong Li, contributing to the development of advanced acoustic technologies.

Conclusion

Chengshi Zheng's innovative work in deep learning-based acoustic feedback suppression showcases his commitment to advancing technology in audio systems. His contributions are paving the way for more effective solutions in this critical area of research.