Guangdong, China

Dylan Richard Muir


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Dylan Richard Muir in Audio Feature Extraction

Introduction

Dylan Richard Muir is an accomplished inventor based in Guangdong, China. He has made significant contributions to the field of audio feature extraction, particularly through his innovative patent that addresses challenges in background noise variations.

Latest Patents

Muir holds a patent for a "Divisive normalization method, device, audio feature extractor, and a chip." This invention introduces a per-channel divisive normalization method that enhances robustness against background noise. The 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 during a clock period of the divisive normalization module. When the count value of the IAF counter reaches the threshold, it resets the counter and produces a single spike at the output. Compared to prior art, this method does not require any Linear Feedback Shift Register (LFSR), making it easier to implement. It features a simpler structure, higher accuracy, better statistical performance, lower cost, and reduced power consumption.

Career Highlights

Dylan Richard Muir is currently employed at Shenzhen Synsense Technology Co., Ltd. His work focuses on developing advanced audio processing technologies that have the potential to revolutionize the industry.

Collaborations

Muir collaborates with notable colleagues, including Huaqiu Zhang and Saeid Haghighatshoar, who contribute to his innovative projects and research endeavors.

Conclusion

Dylan Richard Muir's contributions to audio feature extraction through his innovative patent demonstrate his expertise and commitment to advancing technology in this field. His work continues to influence the development of more efficient audio processing methods.

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