Company Filing History:
Years Active: 2007-2009
Title: Innovations by Tai-Huei Huang in Speech Recognition Technology.
Introduction
Tai-Huei Huang is a notable inventor based in Yunlin Hsien, Taiwan. He has made significant contributions to the field of speech recognition technology, particularly in noisy environments. With a total of 2 patents, his work focuses on improving the accuracy of speech recognition systems.
Latest Patents
One of his latest patents is an "Energy feature extraction method for noisy speech recognition." This invention provides a method for computing the noisy speech energy of an input signal. It estimates the noise energy present in the input and subtracts it from the noisy speech energy to obtain an estimated clean speech energy. Delta operations are then performed on the log of this estimated clean speech energy to derive energy derivative features for the noisy speech.
Another significant patent is the "System and method for obtaining reliable speech recognition coefficients in noisy environment." This invention aims to enhance the recognition rate of speech in challenging environments, such as inside a car. It utilizes the characteristic that most in-car noise energy is concentrated in the low-frequency band. The method filters the input speech signal to eliminate frequencies where noise energy is prevalent, calculates the energy contour of the speech signal, and determines the related speech recognition coefficients. This approach effectively reduces the influence of noise and improves the recognition rate for noisy speech.
Career Highlights
Tai-Huei Huang is associated with the Industrial Technology Research Institute, where he continues to innovate in the field of speech recognition. His work has been instrumental in developing technologies that enhance communication in noisy settings.
Collaborations
He collaborates with Shun-Ju Chen, contributing to advancements in their shared field of expertise.
Conclusion
Tai-Huei Huang's innovative patents in speech recognition technology demonstrate his commitment to improving communication systems in noisy environments. His contributions are paving the way for more reliable speech recognition solutions.