Company Filing History:
Years Active: 2025
Title: Huaqiu Zhang: Innovator in Audio Feature Extraction
Introduction
Huaqiu Zhang is a prominent inventor based in Guangdong, China. He is known for his contributions to audio feature extraction technology. His innovative work has led to the development of a unique method that enhances the robustness of audio processing systems.
Latest Patents
Huaqiu Zhang holds a patent for a "Divisive normalization method, device, audio feature extractor, and a chip." This invention focuses on improving the robustness against variations in background noise. The proposed per-channel divisive normalization method involves obtaining an average number of input spikes over an averaging window using a low-pass filter to produce a threshold parameter. It then decides whether to enable an integrate-and-fire (IAF) counter counting over a clock period of a divisive normalization module. When the count value of the IAF counter reaches the threshold, it resets the IAF counter and produces a single spike at the output. Compared to prior art, this method does not require any Linear Feedback Shift Register (LFSR) and is easier to implement. It features a simpler structure, higher accuracy, better statistical performance, lower cost, and reduced power consumption.
Career Highlights
Huaqiu Zhang is currently employed at Shenzhen Synsense Technology Co., Ltd. His work at this company has allowed him to focus on advancing audio processing technologies. His innovative contributions have positioned him as a key figure in the field.
Collaborations
Huaqiu Zhang has collaborated with notable colleagues, including Saeid Haghighatshoar and Dylan Richard Muir. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies in audio feature extraction.
Conclusion
Huaqiu Zhang's innovative work in audio feature extraction demonstrates his commitment to advancing technology in this field. His contributions, particularly through his patented methods, have significant implications for improving audio processing systems.
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