Company Filing History:
Years Active: 2022-2025
Title: Innovations by Han Lu in Speech Recognition Technology
Introduction
Han Lu is a prominent inventor based in Santa Clara, CA, known for his significant contributions to the field of speech recognition technology. With a total of eight patents to his name, Lu has been at the forefront of developing innovative methods that enhance the efficiency and accuracy of speech recognition systems.
Latest Patents
Among his latest patents, Lu has developed a "Contrastive Siamese Network for Semi-Supervised Speech Recognition." This method involves receiving a plurality of unlabeled audio samples corresponding to spoken utterances that are not paired with transcriptions. The process includes generating a sequence of encoder outputs and modifying time characteristics to produce target branch outputs. Additionally, the method performs augmentation on the unlabeled audio samples, generating predictions based on the augmented data. Another notable patent is the "Semi-Supervised Training Scheme for Speech Recognition," which focuses on generating higher-order feature representations from acoustic frames extracted from unlabeled audio samples. This method also emphasizes updating parameters of the speech recognition model based on unsupervised loss terms.
Career Highlights
Lu's career is marked by his role at Google Inc., where he has been instrumental in advancing speech recognition technologies. His innovative approaches have not only contributed to the company's research but have also set new standards in the industry.
Collaborations
Throughout his career, Lu has collaborated with notable colleagues, including Anshuman Tripathi and Hasim Sak. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Han Lu's work in speech recognition technology exemplifies the impact of innovative thinking in the tech industry. His patents reflect a commitment to enhancing the capabilities of speech recognition systems, paving the way for future advancements in this field.
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