John W Butzberger

Title: Innovations of John W Butzberger

Introduction

John W Butzberger is a notable inventor based in Foster City, CA (US). He has made significant contributions to the field of speech recognition technology, holding a total of 3 patents. His work has advanced the capabilities of speech recognition systems, making them more efficient and adaptable.

Latest Patents

One of his latest patents is titled "Method of dynamically altering grammars in a memory efficient speech recognition system." This innovative method utilizes hierarchical data structures that include a top-level grammar and various related subgrammars. The system acquires a speech signal and performs a probabilistic search using the speech signal as input, along with the grammars and subgrammars. This approach allows for memory-efficient processing, enabling the recognition of a larger vocabulary than previously possible.

Another significant patent is "Speaker adaptation based on lateral tying for large-vocabulary." This system and method enhance speaker adaptation in speech recognition systems by utilizing a set of reference models corresponding to speech data from multiple speakers. The method computes a degree of lateral tying between sub-events, allowing for the adaptation of reference models to account for the unique speech patterns of new speakers. This innovation effectively reduces the error rate in speech recognition systems.

Career Highlights

Throughout his career, John W Butzberger has worked with prominent companies such as Sri International and Apple Inc. His experience in these organizations has contributed to his expertise in speech recognition technology and innovation.

Collaborations

John has collaborated with notable individuals in the field, including Dimitry Rtischev and Jerome Rene Bellegarda. These collaborations have further enriched his work and contributions to speech recognition technology.

Conclusion

John W Butzberger's innovations in speech recognition technology have significantly impacted the field, showcasing his expertise and dedication to advancing this area. His patents reflect a commitment to enhancing the efficiency and adaptability of speech recognition systems.