Company Filing History:
Years Active: 2024-2025
Title: Innovations by Yu Zhou in Voice Recognition Technology
Introduction
Yu Zhou is an accomplished inventor based in Naperville, IL, known for his contributions to voice recognition technology. With a total of 2 patents, he has developed innovative systems that enhance the accuracy and efficiency of automatic speech recognition.
Latest Patents
Yu Zhou's latest patents include a system and method using machine learned voiceprint sets for efficient determination of voice membership using enhanced score normalization and locality sensitive hashing. This invention focuses on identifying a speaker through dual calculations of voiceprint match scores, utilizing machine learned voiceprint sets and hashing models to streamline the identification process. The system incorporates a novel normalization technique designed for multitarget detection, which considers scores from all enrolled negative list utterances and the normalization cohort as a single distribution.
Another significant patent is the system and method for disambiguation and error resolution in call transcripts. This invention addresses the challenges of mis-transcriptions in transcripts generated by automatic speech recognition systems. It analyzes machine-generated transcripts to identify regions of low confidence that indicate mis-transcriptions and predicts improvements for these areas. The system selects replacement words based on predicted improvements, thereby generating corrected transcripts.
Career Highlights
Yu Zhou is currently employed at Vail Systems, Inc., where he continues to innovate in the field of voice recognition technology. His work has significantly contributed to advancements in automatic speech recognition systems.
Collaborations
Yu collaborates with talented individuals in his field, including his coworker Jordan Hosier, who brings valuable insights and expertise to their projects.
Conclusion
Yu Zhou's innovative work in voice recognition technology showcases his commitment to improving automatic speech recognition systems. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.