Abdel-rahman Mohamed

Title: Innovations in Speech Recognition by Abdel-rahman Mohamed

Introduction

Abdel-rahman Mohamed is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of speech recognition technology. His innovative work focuses on enhancing the capabilities of neural networks in processing speech signals.

Latest Patents

Abdel-rahman Mohamed holds a patent for "Learning front-end speech recognition parameters within neural network training." This patent outlines techniques for learning front-end speech recognition parameters as part of training a neural network classifier. The process involves obtaining an input speech signal and applying front-end speech recognition parameters to extract features from the input speech signal. The extracted features are then fed through a neural network to obtain an output classification for the input speech signal. An error measure is computed by comparing the output classification with a known target classification. Back propagation is applied to adjust one or more of the front-end parameters as one or more layers of the neural network, based on the error measure.

Career Highlights

Abdel-rahman Mohamed is currently employed at Nuance Communications, Inc., where he continues to develop advanced speech recognition technologies. His work has contributed to the improvement of user interactions with voice-activated systems.

Collaborations

He has collaborated with notable colleagues in the field, including Tara N Sainath and Brian E D Kingsbury. Their combined expertise has furthered advancements in speech recognition research.

Conclusion

Abdel-rahman Mohamed's innovative contributions to speech recognition technology demonstrate his commitment to enhancing neural network capabilities. His work continues to influence the development of more effective voice recognition systems.