Company Filing History:
Years Active: 2014
Title: Innovations by Sung Il Jung in Noisy Speech Signal Processing
Introduction
Sung Il Jung is a notable inventor based in Ansan-si, South Korea. He has made significant contributions to the field of speech signal processing, particularly in methods for handling noisy speech signals. With a total of 3 patents to his name, his work has implications for various applications in communication technology.
Latest Patents
Sung Il Jung's latest patents focus on innovative methods for processing noisy speech signals. One of his patents describes a noise estimation method that includes approximating a transformation spectrum by converting an input noisy speech signal into the frequency domain. This method calculates a smoothed magnitude spectrum to reduce differences in magnitude between neighboring frames. It also involves estimating a noise spectrum using a recursive average method with an adaptive forgetting factor. This approach minimizes computational requirements and memory usage, making it suitable for hardware or software implementation.
Another patent outlines a noisy speech signal processing method that calculates a transformed spectrum and a smoothed magnitude spectrum. It also determines an identification ratio representing the noise component in the input signal. This method similarly emphasizes efficiency and accuracy, allowing for adaptive operations across frequency sub-bands.
Career Highlights
Sung Il Jung is currently associated with Transono Inc., where he continues to develop innovative solutions in speech processing. His work has garnered attention for its practical applications and efficiency in handling complex audio signals.
Collaborations
Sung Il Jung collaborates with Dong Gyung Ha, contributing to advancements in their field through shared expertise and innovative ideas.
Conclusion
Sung Il Jung's contributions to noisy speech signal processing demonstrate his commitment to innovation and efficiency in technology. His patents reflect a deep understanding of the challenges in audio processing and offer practical solutions for future advancements.