Company Filing History:
Years Active: 1998-2004
Title: Joe A Naylor: Innovator in Speech Recognition Technology
Introduction
Joe A Naylor is a notable inventor based in San Diego, CA, who has made significant contributions to the field of speech recognition technology. With a total of 2 patents, Naylor's work focuses on enhancing the capabilities of continuous speech recognition systems, particularly in portable computing environments.
Latest Patents
Naylor's latest patents include an "Apparatus and method for continuous speech recognition on a PCMCIA card." This invention discloses a system where the recognition function for a speaker-dependent continuous-speech recognition (CSR) system is performed on a PCMCIA card. The card integrates a DSP, Codec, and memory, allowing all processing to be conducted on the card itself. This innovation is particularly beneficial for military and other operations that require lightweight portable computers. Another significant patent is the "Speaker independent speech recognition method utilizing multiple." This method involves recognizing spoken utterances by providing a database of labeled speech data and utilizing a Hidden Markov Model (HMM) to define the characteristics of the speech. The method includes generating HMMs and decoding specified speech utterances, which enhances the accuracy of speaker recognition.
Career Highlights
Throughout his career, Joe A Naylor has worked with reputable companies such as ITT Corporation and ITT Manufacturing Enterprises, Inc. His experience in these organizations has contributed to his expertise in developing advanced speech recognition technologies.
Collaborations
Naylor has collaborated with notable professionals in the field, including William Y Huang and Lawrence G Bahler. These collaborations have likely enriched his work and led to innovative advancements in speech recognition.
Conclusion
Joe A Naylor's contributions to speech recognition technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in speech processing, making him a significant figure in this field.