Mountain View, CA, United States of America

Robert Clark


 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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3 patents (USPTO):Explore Patents

Title: Innovations by Inventor Robert Clark

Introduction

Robert Clark, an innovative inventor based in Mountain View, California, has made significant contributions to the field of synthesized speech technology. With a total of three patents to his name, Clark is recognized for his groundbreaking work that enhances the way machines generate and understand human speech.

Latest Patents

Clark’s latest patents include a "Clockwork Hierarchical Variational Encoder," which presents a method for representing intended prosody in synthesized speech. This invention processes text utterances and utilizes embeddings to predict syllable durations and pitch contours effectively. Additionally, he developed the "Self-training WaveNet for Text-to-Speech," a method to improve synthetic speech output by training autoregressive neural networks using both recorded and synthetic speech samples, enhancing the realism of machine-generated voices.

Career Highlights

Currently, Robert Clark is employed at Google Inc., where he is at the forefront of advancing text-to-speech technologies. His innovative approaches have garnered attention within the tech industry and have set new standards for the quality of synthetic speech.

Collaborations

Throughout his career, Clark has collaborated with talented individuals such as Chun-an Chan and Vincent Wan. Their teamwork reflects a shared commitment to pushing the boundaries of what technology can achieve in voice synthesis.

Conclusion

With his inventive spirit and practical applications, Robert Clark continues to be a significant player in the landscape of innovations at Google Inc. His work in developing advanced speech synthesis methods not only enhances digital communication but also opens new avenues for future inventions in artificial intelligence and machine learning.

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