Braunschweig, Germany

Johannes Abel


 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations of Johannes Abel in Speech Signal Processing

Introduction

Johannes Abel is a notable inventor based in Braunschweig, Germany. He has made significant contributions to the field of speech signal processing, showcasing his expertise through innovative patents. His work focuses on enhancing the quality and clarity of speech signals, which is crucial in various applications.

Latest Patents

Johannes Abel holds a patent for a speech signal processing circuit. This circuit is designed to receive both a time-frequency-domain reference speech signal and a time-frequency-domain degraded speech signal. The reference speech signal includes components that are categorized into upper and lower bands based on a frequency threshold. The degraded speech signal is similarly divided, allowing for effective analysis and processing. The circuit features a disturbance calculator that determines several SBR (Spectral Balance Ratio) features, enhancing the overall quality of speech processing.

Career Highlights

Abel's career is marked by his role at NXP B.V., where he applies his knowledge in speech signal processing. His innovative approach has led to advancements in how speech signals are processed and understood. With a focus on practical applications, his work has the potential to impact various industries, including telecommunications and audio technology.

Collaborations

Johannes collaborates with talented individuals such as Magdalena Kaniewska and Wouter Joos Tirry. Their combined expertise fosters a creative environment that drives innovation in their projects.

Conclusion

Johannes Abel's contributions to speech signal processing exemplify the importance of innovation in technology. His patent and collaborative efforts highlight the potential for advancements in this field. Through his work, he continues to influence the future of speech processing technologies.

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