Byung H An

Title: Byung H An: Innovator in Audio Signal Recognition

Introduction

Byung H An is a notable inventor based in Anaheim, CA. He has made significant contributions to the field of audio signal recognition, holding a total of 2 patents. His work focuses on enhancing the efficiency and effectiveness of speech recognition technologies.

Latest Patents

Byung H An's latest patents include innovative designs for audio signal recognition computers. The first patent describes a signal encoder and classifier particularly adapted to speech recognition. This invention features a buffer that is independently addressed by a new data writing address system and a buffered data reading system. This design allows for writing and reading of data to occur on a time-shared basis, enabling serial writing and reading of pattern data without interrupting incoming signal storage. The reading data address system utilizes stored addresses to identify the beginning and end of signal patterns for sequential addressing from the buffer.

The second patent also focuses on an audio signal recognition computer. Similar to the first, it includes a circularly addressed buffer that is independently addressed by a new data writing address system and a buffered data reading system. This time-shared operation permits efficient serial writing and reading of pattern data while maintaining uninterrupted incoming signal storage. The writing data address system addresses data into the buffer in a circular fashion, while the reading data address system utilizes stored addresses to identify the beginning and end of signal patterns for sequential addressing.

Career Highlights

Byung H An is currently associated with Interstate Electronics Corporation, where he continues to innovate in the field of audio signal processing. His work has been instrumental in advancing technologies that improve speech recognition capabilities.

Conclusion

Byung H An's contributions to audio signal recognition demonstrate his commitment to innovation and excellence in technology. His patents reflect a deep understanding of the complexities involved in speech recognition systems, paving the way for future advancements in this critical area.