This inventor holds 2 USPTO granted patents. Top assignee: Intel Corporation. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: Innovations of Jielin Pan in Speech Recognition Technology
Introduction
Jielin Pan is a notable inventor based in Beijing, China. He has made significant contributions to the field of speech recognition technology. With a total of 2 patents, his work focuses on improving large vocabulary continuous speech recognition (LVCSR) systems.
Latest Patents
Jielin Pan's latest patents include a method, apparatus, and system for building a compact model for LVCSR systems. This invention involves dividing a mean vector set and a variance vector set of a set of N Gaussians into multiple sub-vector sets. Each sub-vector set is clustered to build a codebook using a modified K-means clustering process that dynamically merges and splits clusters based on size and average distortion.
Another significant patent by Pan is a method, apparatus, and system for building a compact language model for LVCSR systems. This invention classifies a set of probabilistic attributes in an N-gram language model into multiple classes. Each class is then clustered into segments to build a codebook, with the size and centroid of each segment dynamically adjusted during the clustering process.
Career Highlights
Jielin Pan is currently employed at Intel Corporation, where he continues to innovate in the field of speech recognition. His work has been instrumental in advancing the capabilities of speech recognition systems, making them more efficient and effective.
Collaborations
Throughout his career, Jielin Pan has collaborated with notable colleagues, including Baosheng Yuan and Chunrong Lai. These collaborations have contributed to the development of cutting-edge technologies in speech recognition.
Conclusion
Jielin Pan's contributions to speech recognition technology through his innovative patents and collaborations highlight his role as a leading inventor in this field. His work continues to influence advancements in how machines understand and process human speech.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
