This inventor holds 1 USPTO granted patent. Top assignee: Moscom Corporation. Active years: 1995.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1995
Title: Thomas Holton: Innovator in Speech Feature Recognition
Introduction
Thomas Holton is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of speech recognition technology. His innovative approach utilizes models of the human auditory system to enhance the accuracy of speech feature detection.
Latest Patents
Holton holds a patent for a "Method and apparatus for speech feature recognition based on models of the human auditory system." This patent describes a process where a stimulus waveform is analyzed using a model of the human auditory system. The method generates multiple output waveforms that correspond to different locations along the basilar membrane in the cochlea. These output waveforms are designed to match the narrow frequency bandwidth, short time response, and wave propagation characteristics of the human cochlea. Primary feature detection is achieved by comparing response waveforms and their spatial and time derivatives to predetermined stereotypes. Additionally, secondary feature detection involves comparing spatial and temporal patterns of primary features with those stereotypical of human speech elements.
Career Highlights
Holton is associated with Moscom Corporation, where he applies his expertise in speech recognition technology. His work has contributed to advancements in how machines interpret human speech, making communication with technology more intuitive.
Collaborations
Some of his notable coworkers include Steven D Love and Stephen P Gill, who have collaborated with him on various projects within the field.
Conclusion
Thomas Holton's innovative work in speech feature recognition exemplifies the intersection of technology and human auditory understanding. His contributions continue to influence advancements in speech recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile