Xiaoyu Miao

Papers

1

Total Citations

10

H-Index

1

About

Xiaoyu Miao is a leading researcher in energy-efficient voice-control systems, with a focus on keyword spotting (KWS) and speaker verification processors for smart devices. Their major contributions include the development of a groundbreaking KWS processor that achieves 96.8% 10-keyword accuracy while consuming only 1.68 μJ per classification—a significant leap in efficiency for battery-powered applications like smart homes, wearables, and robotics. This work, published in 2024 and already garnering 10 citations, introduces adaptive beamforming and progressive wake-up techniques to address critical challenges in noisy environments, such as sensitivity to human-voice interference. By enabling robust voice activation with minimal power draw, Miao’s innovations pave the way for always-on, intelligent voice interfaces that are both accurate and practical. Their research not only advances the state of the art in low-power machine learning hardware but also promises to enhance user experiences in next-generation smart devices, making voice control more reliable and accessible in real-world settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
14.8 KASP: A 96.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor Using Adaptive Beamforming and Progressive Wake-Up
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 12

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago