Maple Ridge, Canada

Dean Wolfgang Neumann


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 25(Granted Patents)


Company Filing History:


Years Active: 2017

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2 patents (USPTO):Explore Patents

Title: Innovations by Dean Wolfgang Neumann

Introduction

Dean Wolfgang Neumann is a notable inventor based in Maple Ridge, Canada. He has made significant contributions to the field of speech recognition technology. With a total of two patents to his name, Neumann's work focuses on enhancing the accuracy and efficiency of phoneme recognition systems.

Latest Patents

Neumann's latest patents include "Phoneme-expert assisted speech recognition and re-synthesis" and "Generation of phoneme-experts for speech recognition." These innovations involve an expert-assisted phoneme recognition neural network system designed to recognize phonemes within continuous large vocabulary speech sequences. Notably, these systems do not rely on language-specific models, look-ahead information, or multi-pass sequence processing. They are optimized to operate within the constraints of low-power and real-time devices. By utilizing a-priori phonetic knowledge, Neumann's inventions address the challenges of detecting similar-sounding phonemes, which are often misidentified by traditional neural networks. His approach emphasizes features that enhance sound discrimination, particularly focusing on the second formants of phonemes.

Career Highlights

Neumann is currently associated with Malaspina Labs, Inc., where he continues to develop innovative solutions in speech recognition technology. His work has garnered attention for its potential applications in various low-power and real-time devices.

Collaborations

Neumann collaborates with talented individuals such as Saeed Mosayyebpour Kaskari and Aanchan Kumar Mohan, contributing to a dynamic research environment.

Conclusion

Dean Wolfgang Neumann's contributions to phoneme recognition technology represent a significant advancement in the field of speech processing. His innovative patents demonstrate a commitment to improving the accuracy and efficiency of speech recognition systems.

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