Company Filing History:
Years Active: 2021-2024
Title: Patrick Violette: Innovator in Hotword Detection Technology
Introduction
Patrick Violette is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of hotword detection technology, holding a total of 3 patents. His work focuses on enhancing the efficiency and accuracy of voice-activated systems.
Latest Patents
One of Patrick's latest patents is titled "End-to-end streaming keyword spotting." This innovative method involves training hotword detection by receiving a training input audio sequence that includes a sequence of input frames defining a hotword. This hotword initiates a wake-up process on a device. The method incorporates feeding the training input audio sequence into an encoder and a decoder of a memorized neural network. Each component includes sequentially-stacked single value decomposition filter (SVDF) layers. The process generates a logit at both the encoder and decoder based on the training input audio sequence. Additionally, it involves smoothing each respective logit, determining a max pooling loss from a probability distribution based on each logit, and optimizing both the encoder and decoder based on all max pooling losses associated with the training input audio sequence.
Career Highlights
Patrick Violette is currently employed at Google Inc., where he continues to push the boundaries of voice recognition technology. His expertise in neural networks and audio processing has positioned him as a key player in the development of advanced hotword detection systems.
Collaborations
Throughout his career, Patrick has collaborated with talented individuals such as Raziel Alvarez Guevara and Hyun Jin Park. These collaborations have fostered innovation and contributed to the success of various projects within the realm of voice technology.
Conclusion
Patrick Violette's work in hotword detection technology exemplifies the impact of innovative thinking in the tech industry. His contributions continue to shape the future of voice-activated systems, making them more efficient and user-friendly.
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