Whippany, NJ, United States of America

Danilo Giulianelli

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.0

ph-index = 4

Forward Citations = 103(Granted Patents)


Company Filing History:


Years Active: 2001-2017

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4 patents (USPTO):Explore Patents

Title: The Innovations of Danilo Giulianelli

Introduction

Danilo Giulianelli is an accomplished inventor based in Whippany, NJ (US). He has made significant contributions to the field of speech and language processing, holding a total of four patents. His work focuses on enhancing the efficiency and effectiveness of speech processing technologies.

Latest Patents

One of Danilo Giulianelli's latest patents is a system and method for managing models for embedded speech and language processing. This invention discloses systems, methods, and computer-readable storage devices designed to fetch speech processing models based on context changes in advance of speech requests. The local device, equipped with a speech processor and access to remote speech models, detects changes in context, which can include geographical location, language translation, and user language settings. The device can then determine the necessary speech processing model and retrieve it from a remote server, even before an explicit request to process speech is made.

Career Highlights

Throughout his career, Danilo has worked with notable companies such as Lucent Technologies Inc. and AT&T Intellectual Property L.P. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of speech processing.

Collaborations

Danilo has collaborated with several professionals in his field, including Benjamin J. Stern and Enrico Bocchieri. These collaborations have contributed to the advancement of his projects and the successful development of his patents.

Conclusion

Danilo Giulianelli's work in speech and language processing showcases his innovative spirit and dedication to improving technology. His patents reflect a deep understanding of the complexities of speech processing and the potential for future advancements in this area.

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