This inventor holds 1 USPTO granted patent. Top assignee: Carnegie Mellon University. Active years: 1998.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1998
Title: Innovations of Alex H Waibel in Speech Recognition Technology.
Introduction
Alex H Waibel is a prominent inventor based in Pittsburgh, PA (US). He is known for his contributions to the field of speech recognition technology. His innovative work has led to the development of methods that enhance the accuracy of machine-recognized speech.
Latest Patents
One of his notable patents is focused on "Locating and correcting erroneously recognized portions of utterances." This patent describes a method for repairing machine-recognized speech. The process involves receiving a first n-best list of hypotheses and scores from a recognition engine in response to a primary utterance. An error within the highest-scoring hypothesis is identified, and control signals are generated to guide the recognition engine in producing a second n-best list. The scores from both lists are combined to select the best hypothesis as a replacement for the identified error. This patent showcases his innovative approach to improving speech recognition systems. He holds 1 patent.
Career Highlights
Waibel has had a distinguished career, primarily associated with Carnegie Mellon University. His work has significantly impacted the field of artificial intelligence and human-computer interaction. He has been involved in various research projects that aim to advance the capabilities of speech recognition technologies.
Collaborations
Waibel has collaborated with several experts in the field, including his coworker Arthur E McNair. Their joint efforts have contributed to the development of advanced speech processing techniques.
Conclusion
Alex H Waibel's contributions to speech recognition technology have paved the way for more accurate and efficient systems. His innovative methods continue to influence the field and enhance user experiences with machine-recognized speech.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
