Noah Gideon Pacik-Nelson

Title: Innovations of Noah Gideon Pacik-Nelson

Introduction

Noah Gideon Pacik-Nelson is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of speech recognition through his innovative work. His expertise lies in developing advanced acoustic models that leverage neuromorphic processing.

Latest Patents

Noah holds a patent for a "Self-learning neuromorphic acoustic model for speech recognition." This patent describes methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing speech using a spiking neural network acoustic model implemented on a neuromorphic processor. The method involves receiving a trained acoustic model implemented as a spiking neural network (SNN) on a neuromorphic processor of a client device. It processes a set of feature coefficients that represent the acoustic energy of input audio received from a microphone. The acoustic model is trained to predict speech sounds based on these input feature coefficients, generating output data that indicates the predicted speech sounds corresponding to the input audio. The neuromorphic processor updates parameters of the acoustic model using learning rules and the predicted speech sounds.

Career Highlights

Noah is currently employed at Accenture Global Solutions Limited, where he continues to innovate in the field of speech recognition technology. His work has garnered attention for its potential applications in various industries, enhancing the way machines understand human speech.

Collaborations

Noah collaborates with talented individuals such as Lavinia Andreea Danielescu and Timothy M Shea, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Noah Gideon Pacik-Nelson is a pioneering inventor whose work in neuromorphic acoustic models is shaping the future of speech recognition technology. His contributions are paving the way for advancements in how machines interact with human language.