Company Filing History:
Years Active: 2011-2015
Title: Jinliang Dai: Innovator in Noise Processing Technologies
Introduction
Jinliang Dai is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of noise processing technologies, holding a total of 12 patents. His work focuses on improving user experience through innovative methods and devices.
Latest Patents
One of his latest patents is titled "Method and device for a silence insertion descriptor frame decision based upon variations in sub-band characteristic information." This invention involves a DTX decision method that includes obtaining sub-band signals from an input signal and analyzing the variations in their characteristic information. The result is a more accurate DTX decision that utilizes noise characteristics effectively during speech encoding and decoding.
Another notable patent is the "Method for generating background noise and noise processing apparatus." This method aims to enhance user experience by generating high band background noise signals based on noise frame parameters. The process involves obtaining encoding parameters from noise frames and applying weighting or smoothing techniques to improve the quality of the generated background noise.
Career Highlights
Jinliang Dai is currently employed at Huawei Technologies Co., Limited, where he continues to innovate in the field of noise processing. His work has been instrumental in developing technologies that enhance communication systems and user interactions.
Collaborations
Throughout his career, Jinliang has collaborated with notable colleagues, including Libin Zhang and Eyal Shlomot. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Jinliang Dai is a key figure in the realm of noise processing technologies, with a strong portfolio of patents that reflect his innovative spirit. His contributions continue to shape the future of communication technology, enhancing user experiences across various applications.