Seattle, WA, United States of America

Dirk Padfield

USPTO Granted Patents = 12 

 

Average Co-Inventor Count = 1.7

ph-index = 4

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2017-2025

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12 patents (USPTO):

Title: Dirk Padfield: Innovator in Speech Translation Technology

Introduction

Dirk Padfield is a prominent inventor based in Seattle, WA, known for his significant contributions to the field of speech translation technology. With a total of 12 patents to his name, Padfield has developed innovative methods that enhance the accuracy and reliability of machine translation systems.

Latest Patents

One of Padfield's latest patents is titled "Inverted projection for robust speech translation." This technology introduces a novel approach to train translation models that are resilient to transcription and punctuation errors. The method involves incorporating errors from actual automatic speech recognition and punctuation systems into the training data for machine translation. Another notable patent is "Stable real-time translations of audio streams." This invention facilitates the generation of stable real-time textual translations from audio data streams recorded in a source language. The system generates partial transcriptions at successive time intervals and translates them into a target language, ensuring that the displayed translations are stable and accurate.

Career Highlights

Throughout his career, Dirk Padfield has worked with leading technology companies, including Amazon Technologies, Inc. and Google Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in speech translation.

Collaborations

Padfield has collaborated with talented individuals such as Suren Kumar and Eric Paul Bennett, further enhancing the innovative projects he has been involved in.

Conclusion

Dirk Padfield's work in speech translation technology exemplifies the impact of innovation in enhancing communication across languages. His patents reflect a commitment to improving the accuracy and efficiency of machine translation systems, making significant strides in the field.

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