Melrose, MA, United States of America

Paul McIntyre


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 225(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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3 patents (USPTO):Explore Patents

Title: Paul McIntyre: Innovator in Dynamic Wakeword Detection

Introduction

Paul McIntyre is an accomplished inventor based in Melrose, MA (US). He has made significant contributions to the field of audio technology, particularly in the area of wakeword detection. With a total of three patents to his name, McIntyre's work has garnered attention for its innovative approaches.

Latest Patents

Among his latest patents is a technique for dynamic wakeword detection. This patent describes methods for utilizing a dynamic wakeword detection threshold. A device is designed to detect a wakeword in audio data using an initial threshold value. Following this, the device receives audio that includes speech. If the audio is received within a predetermined duration after the previous wakeword detection, the device attempts to detect a wakeword in subsequent audio data using a second, lower threshold value. This innovative approach enhances the efficiency and accuracy of wakeword detection in various applications.

Career Highlights

Paul McIntyre is currently employed at Amazon Technologies, Inc. His role at the company allows him to work on cutting-edge technologies that push the boundaries of audio processing. His expertise in dynamic wakeword detection has positioned him as a key player in the development of voice-activated systems.

Collaborations

Throughout his career, McIntyre has collaborated with talented individuals such as Gengshen Fu and Shiv Naga Prasad Vitaladevuni. These collaborations have contributed to the advancement of his projects and the successful implementation of innovative technologies.

Conclusion

In summary, Paul McIntyre is a notable inventor whose work in dynamic wakeword detection has made a significant impact in the field of audio technology. His contributions continue to shape the future of voice recognition systems.

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