Mountain View, CA, United States of America

Ratheet Pandya


 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ratheet Pandya - Innovator in Semantic Audio Representations

Introduction

Ratheet Pandya is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of audio processing, particularly in the area of unsupervised learning of semantic audio representations. His work focuses on enhancing the understanding and classification of non-speech sounds in audio recordings.

Latest Patents

Ratheet holds a patent for "Unsupervised learning of semantic audio representations." This patent outlines methods for generating training triplets that can be utilized to train multidimensional embeddings. These embeddings represent the semantic content of non-speech sounds found in a corpus of audio recordings. The training triplets can be employed with a triplet loss function to train the embeddings, enabling them to cluster audio content effectively. This innovation facilitates query-by-example lookups, generalizes manually-labeled audio recordings, and supports various audio classification tasks.

Career Highlights

Ratheet Pandya is currently employed at Google Inc., where he applies his expertise in audio processing and machine learning. His work at Google has allowed him to explore advanced methodologies in audio classification and representation learning. With a focus on practical applications, Ratheet's contributions are paving the way for more sophisticated audio analysis tools.

Collaborations

Ratheet has collaborated with talented coworkers, including Aren Jansen and Manoj Plakal. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge audio technologies.

Conclusion

Ratheet Pandya is a pioneering inventor whose work in semantic audio representations is making a significant impact in the field of audio processing. His innovative approaches and collaborations are contributing to advancements that enhance the understanding of audio content.

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