Taipei, Taiwan

Jyh-Shing Jang

This inventor holds 4 USPTO granted patents. Top assignees: Institute for Information Industry, National Tsing Hua University. Active years: 2011-2025.


% Patents Active = 50.0

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2011-2025

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4 patents (USPTO):Explore Patents

Title: Jyh-Shing Jang: Innovator in Chart and Melody Recognition

Introduction

Jyh-Shing Jang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the fields of chart pattern recognition and melody recognition. With a total of 4 patents to his name, Jang's work has advanced the understanding and application of these technologies.

Latest Patents

Jang's latest patents include a "Chart Pattern Recognition System and Method." This innovative method involves pre-processing a chart pattern group to obtain data for comparison based on time and space. It normalizes the data and compares it to historical patterns, ultimately identifying patterns with maximum similarity scores. Another notable patent is the "Method and Apparatus for Melody Recognition." This method tracks pitch and beat information of a melody, determining clarity values and filtering candidate songs from a database to identify final candidates.

Career Highlights

Throughout his career, Jang has worked with esteemed institutions such as the Institute for Information Industry and Tsinghua University. His experience in these organizations has allowed him to develop and refine his innovative ideas.

Collaborations

Jang has collaborated with notable colleagues, including Pai-Pin Wang and Jiang-Chun Chen. Their combined expertise has contributed to the success of various projects and patents.

Conclusion

Jyh-Shing Jang's contributions to chart and melody recognition technologies highlight his innovative spirit and dedication to advancing these fields. His patents reflect a commitment to enhancing the way we understand and interact with patterns in data and music.

Profile summary based on public USPTO records.
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