Company Filing History:
2 out of 13 
1 out of 1,422 
Years Active: 2011-2018
Title: Innovations of Clarence Chu in Voice Pattern Recognition
Introduction
Clarence Chu is an accomplished inventor based in Vancouver, Canada. He has made significant contributions to the field of voice pattern recognition, holding a total of 3 patents. His work focuses on enhancing the accuracy and reliability of voice recognition systems through innovative methodologies.
Latest Patents
One of his latest patents is titled "Speaker dependent voiced sound pattern template mapping." This invention includes a training module designed to produce a set of segment templates from a concurrent segmentation of various vocalization instances of a voiced sound pattern (VSP) vocalized by a specific speaker. The training module characterizes how each segment of the VSP is vocalized based on the speaker's unique vocal characteristics.
Another notable patent is "Concurrent segmentation of multiple similar vocalizations." This invention features a training module that concurrently segments multiple vocalization instances of a VSP as vocalized by a particular speaker. The modified hierarchical agglomerative clustering (HAC) process is utilized to segment these instances simultaneously, providing a more reliable detection and matching threshold for the VSP.
Career Highlights
Throughout his career, Clarence has worked with several prominent companies, including Malaspina Labs and Nuance Communications. His experience in these organizations has allowed him to refine his skills and contribute to advancements in voice recognition technology.
Collaborations
Clarence has collaborated with notable professionals in his field, including Alireza Kenarsari Anhari and Gerhard Uwe Schmidt. These collaborations have further enriched his work and expanded the impact of his inventions.
Conclusion
Clarence Chu's innovative contributions to voice pattern recognition demonstrate his expertise and commitment to advancing technology in this field. His patents reflect a deep understanding of vocal characteristics and their applications in voice recognition systems.