Company Filing History:
Years Active: 2025
Title: Innovations of Cheng-Hsuan Lu in Speaker Identification Technology.
Introduction
Cheng-Hsuan Lu is a notable inventor based in Yunlin County, Taiwan. He has made significant contributions to the field of speaker identification technology. His innovative approach utilizes meta-learning to enhance the accuracy and efficiency of speaker recognition systems.
Latest Patents
Cheng-Hsuan Lu holds a patent for a "Real-time speaker identification system utilizing meta learning to process short utterances in an open-set environment." This invention focuses on training a speaker model through a meta-learning approach. The system updates the speaker model by backpropagating the gradients of a composite objective function, which consists of two loss functions. Each training episode includes a support set of long utterances and a query set of short utterances. The invention converts input utterances into speaker embedding vectors, allowing for the identification of different enrolled speakers. This method effectively blocks spoofing attacks and impostor intrusion, making it lightweight, responsive, and suitable for short utterances in open-set environments. It can also be implemented using low-cost embedded hardware. Cheng-Hsuan Lu has 1 patent to his name.
Career Highlights
Cheng-Hsuan Lu is affiliated with the National Yunlin University of Science. His work at the university has allowed him to focus on research and development in the field of speaker identification systems. His innovative contributions have garnered attention in both academic and industrial circles.
Collaborations
Cheng-Hsuan Lu collaborates with Jeng-Shin Sheu, who is also involved in research related to speaker identification technology. Their partnership enhances the development of innovative solutions in this field.
Conclusion
Cheng-Hsuan Lu's work in speaker identification technology showcases his commitment to advancing the field through innovative approaches. His contributions are paving the way for more secure and efficient speaker recognition systems.
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