Lixuan Zhu

Title: Lixuan Zhu: Innovator in Speech Feature Extraction Technology

Introduction

Lixuan Zhu is a prominent inventor based in Jiangsu, China, known for his contributions to the field of speech feature extraction technology. He holds two patents that showcase his innovative approach to optimizing algorithms for low-power applications in intelligent systems.

Latest Patents

Lixuan Zhu's latest patents include a "Serial FFT-based low-power MFCC speech feature extraction circuit" and an "Ultra-low-power speech feature extraction circuit based on non-overlapping framing and serial FFT." The first patent discloses a circuit designed to optimize the MFCC algorithm and serial FFT algorithm, significantly reducing circuit area and power consumption. This circuit comprises several modules, including preprocessing, framing and windowing, FFT, Mel filtration, and logarithm and DCT. The improved FFT algorithm processes data in a serial pipeline manner, effectively utilizing audio frame time while minimizing storage area and operation frequency.

The second patent focuses on an ultra-low-power speech feature extraction circuit that employs non-overlapping framing and serial FFT. This invention aims to reduce large-scale storage issues associated with framing, further decreasing circuit area and power consumption. The architecture of the circuit integrates various modules, including pre-process, windowing, Fourier transform, Mel filtering, adjacent frame merging, and DCT, optimizing the MFCC algorithm for enhanced performance.

Career Highlights

Lixuan Zhu is affiliated with Southeast University, where he continues to advance research in intelligent systems and speech processing technologies. His work has significantly impacted the development of efficient algorithms and circuits in the field.

Collaborations

Lixuan Zhu collaborates with notable colleagues, including Weiwei Shan and Jun Yang, contributing to innovative projects and research initiatives in their field.

Conclusion

Lixuan Zhu's innovative patents and contributions to speech feature extraction technology highlight his expertise and commitment to advancing intelligent systems. His work continues to influence the development of low-power applications in computation and speech processing.