Sankt Augustin, Germany

Konstantin Biatov



 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: The Innovations of Konstantin Biatov

Introduction

Konstantin Biatov is a notable inventor based in Sankt Augustin, Germany. He has made significant contributions to the field of speech recognition systems, particularly in reducing false alarms. His innovative approach leverages contextual information to enhance the accuracy of speech recognition technology.

Latest Patents

Konstantin Biatov holds a patent for a system and method aimed at reducing false alarms in speech recognition systems using contextual information. The patent, titled "False alarm reduction in speech recognition systems using contextual information," presents a method that utilizes spoken word verification to minimize false alarms by exploiting both global and local contexts at various levels, including lexical, phoneme, and acoustical levels. The process involves determining whether a word has been accurately detected or if it is a false alarm. By using training examples to generate models of internal and external contexts, the system compares these models to test word examples. Based on the comparison results, a word may be accepted or rejected, with the comparison occurring at multiple steps throughout the process.

Career Highlights

Throughout his career, Konstantin Biatov has worked with reputable companies, including Interactive Intelligence Group, Inc. and Interactive Intelligence, Inc. His experience in these organizations has contributed to his expertise in speech recognition technologies and innovations.

Collaborations

Konstantin has collaborated with notable individuals in his field, including Aravind Ganapathiraju and Felix Immanuel Wyss. These collaborations have likely enriched his work and contributed to advancements in speech recognition systems.

Conclusion

Konstantin Biatov's contributions to the field of speech recognition through his innovative patent demonstrate his commitment to enhancing technology. His work continues to influence the development of more accurate and reliable speech recognition systems.

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