Company Filing History:
Years Active: 2018
Title: Innovations by Elizabeth Baran in Speech Processing Technology.
Introduction
Elizabeth Baran is an accomplished inventor based in Boston, MA (US). She has made significant contributions to the field of speech processing technology. Her innovative work focuses on enhancing natural language understanding systems, which are crucial for improving user interactions with speech-controlled devices.
Latest Patents
Elizabeth Baran holds a patent for a groundbreaking invention titled "Training a speech processing system using spoken utterances." This patent describes systems, methods, and devices for training a Natural Language Understanding (NLU) component using spoken utterances from individuals. The invention involves a server that sends a signal to a speech-controlled device, prompting it to solicit audio content regarding how a user would articulate a specific command. The device captures this spoken audio and transmits it to the server, which processes the audio data to parse it into multiple portions. The server then associates portions of the audio data with command and content indicators, ultimately updating the NLU component to better understand how utterances triggering commands are spoken.
Career Highlights
Elizabeth is currently employed at Amazon Technologies, Inc., where she continues to develop innovative solutions in speech processing. Her work has been instrumental in advancing the capabilities of speech recognition systems, making them more intuitive and user-friendly.
Collaborations
Elizabeth collaborates with her coworker, Janet Louise Slifka, who is also a talented professional in the field. Together, they contribute to the development of cutting-edge technologies that enhance user experiences with speech-controlled applications.
Conclusion
Elizabeth Baran's contributions to speech processing technology exemplify her commitment to innovation. Her patent and ongoing work at Amazon Technologies, Inc. highlight her role in shaping the future of natural language understanding systems.