Company Filing History:
Years Active: 2025
Title: Kim Jaeyoung: Innovator in Speech Recognition Technology
Introduction
Kim Jaeyoung is a prominent inventor based in Cupertino, CA, known for his contributions to the field of speech recognition technology. He has developed innovative methods that enhance the efficiency and accuracy of speech recognition systems. His work is particularly significant in the realm of machine learning and artificial intelligence.
Latest Patents
Kim Jaeyoung holds a patent for a "Semi-supervised training scheme for speech recognition." This method involves receiving a sequence of acoustic frames extracted from unlabeled audio samples that correspond to spoken utterances not paired with any corresponding transcriptions. The process includes generating a target higher order feature representation for a corresponding acoustic frame using a supervised audio encoder. Additionally, the method augments the sequence of acoustic frames and generates a predicted higher order feature representation for a corresponding augmented acoustic frame using an unsupervised audio encoder. The method also determines an unsupervised loss term based on the target and predicted higher order feature representations, updating the parameters of the speech recognition model accordingly. This innovative approach has the potential to significantly improve speech recognition systems.
Career Highlights
Kim Jaeyoung is currently employed at Google Inc., where he continues to push the boundaries of technology in speech recognition. His work at Google has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements that impact millions of users worldwide.
Collaborations
Some of Kim's notable coworkers include Soheil Khorram and Anshuman Tripathi. Their collaborative efforts have fostered an environment of innovation and creativity, leading to groundbreaking developments in their field.
Conclusion
Kim Jaeyoung is a key figure in the advancement of speech recognition technology, with a focus on semi-supervised training methods. His contributions at Google Inc. and his innovative patent reflect his commitment to enhancing the capabilities of speech recognition systems. His work continues to influence the future of technology in meaningful ways.