Espoo, Finland

Jari Ranta

This inventor holds 1 USPTO granted patent. Top assignee: Tecnomen Oy. Active years: 1999.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jari Ranta. Retrieved from https://idiyas.com/inventor/jari-ranta

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 1999

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1 patent (USPTO):Explore Patents

Title: Jari Ranta: Innovator in Speech Recognition Technology

Introduction

Jari Ranta is a notable inventor based in Espoo, Finland. He has made significant contributions to the field of speech recognition technology. His innovative approach combines advanced methodologies to enhance the accuracy and efficiency of speech recognition systems.

Latest Patents

Jari Ranta holds a patent for a method titled "Speech recognition based on HMMs." This invention utilizes Hidden Markov Models (HMMs) and vector quantization to model speech signals. The method incorporates spectral derivative information into the speech parameters, improving the overall performance of speech recognition systems. Each state of the HMM is modeled using two distinct vector quantization codebooks, one trained on spectral parameters and the other on spectral derivative parameters.

Career Highlights

Jari Ranta is associated with Tecnomen Oy, a company known for its innovative solutions in telecommunications. His work at Tecnomen Oy has allowed him to apply his expertise in speech recognition, contributing to the development of cutting-edge technologies in the industry.

Collaborations

Due to space constraints, the collaborations section will be omitted.

Conclusion

Jari Ranta's contributions to speech recognition technology exemplify his innovative spirit and dedication to advancing the field. His patent reflects a significant step forward in improving speech recognition systems, showcasing his expertise and commitment to innovation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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