Company Filing History:
Years Active: 1997-1998
Title: Innovations of Qiguang Lin in Speaker Recognition Technology
Introduction
Qiguang Lin is an accomplished inventor based in Highland Park, NJ (US). He has made significant contributions to the field of speaker recognition technology, holding 2 patents that showcase his innovative approaches to improving speech recognition systems.
Latest Patents
One of his latest patents is a method and apparatus that includes microphone arrays and neural networks. This invention focuses on training a neural network to transform distant-talking cepstrum coefficients, derived from a microphone array receiving speech from a speaker at a distance, into a form that closely resembles close-talking cepstrum coefficients. This advancement aims to provide robust hands-free speech and speaker recognition in challenging environments, enhancing existing systems that have been trained on close-talking speech.
Another notable patent is a method and apparatus for speaker recognition using selected spectral information. This invention introduces a novel step of truncating the spectrum before producing cepstrum coefficients. By utilizing selected spectra as the feature measure for speaker recognition, this method has demonstrated significant improvements in performance compared to prior art systems.
Career Highlights
Qiguang Lin is affiliated with Rutgers, the State University of New Jersey, where he continues to advance research in speaker recognition technology. His work has been instrumental in developing systems that are more effective and reliable in real-world applications.
Collaborations
Throughout his career, Qiguang Lin has collaborated with notable colleagues, including James L. Flanagan and Mazin Rahim. These partnerships have contributed to the success and impact of his inventions in the field.
Conclusion
Qiguang Lin's innovative work in speaker recognition technology has paved the way for advancements that enhance the accuracy and reliability of speech recognition systems. His contributions are vital in addressing the challenges faced in practical environments, making significant strides in the field.