Company Filing History:
Years Active: 2023-2025
Title: The Innovations of Inventor Lan Ma
Introduction: Lan Ma, an accomplished inventor based in Seattle, WA, has made significant contributions to the field of voice-based computer interfaces. With a total of three patents to his name, he continues to push the boundaries of technology at Amazon Technologies, Inc. His innovative approaches address the challenges of corrupted speech detection and contextual understanding in automated systems.
Latest Patents: Lan Ma's most recent patents focus on two groundbreaking technologies. The first patent is dedicated to "Detecting Corrupted Speech in Voice-Based Computer Interfaces." This invention outlines methods to receive user utterances as audio data, generate textual representations, and utilize advanced classifiers to identify corruption states within the speech processing inputs. The second patent, titled "Architecture for Context-Augmented Word Embedding," reveals features for enhancing word embedding models. This invention integrates both textual and contextual data to improve accuracy in understanding user utterances, allowing for the inclusion of additional data points such as ASR confidence scores and user information.
Career Highlights: Throughout his career, Lan Ma has been instrumental in developing innovative solutions in voice recognition and natural language processing. His work at Amazon Technologies, Inc. showcases his commitment to improving human-computer interactions by making them more robust and context-aware.
Collaborations: Lan Ma has worked closely with notable colleagues such as Prathap Ramachandra and Wenbo Yan. Together, they have collaborated on various projects, enhancing the capabilities of voice-based systems and contributing to the advancement of technology in their field.
Conclusion: Lan Ma stands as a prominent figure in the realm of technological innovation, with patents that address critical issues in voice-based interactions. His work not only exemplifies the potential for advancements in artificial intelligence but also paves the way for future developments that enhance user experience and understanding in voice recognition systems.